2025-07-24T04:00:10.7637180Z Current runner version: '2.326.0'
2025-07-24T04:00:10.7640400Z Runner name: 'i-0b95bf35f8faa9da2'
2025-07-24T04:00:10.7640830Z Runner group name: 'default'
2025-07-24T04:00:10.7641350Z Machine name: 'ip-10-0-1-178'
2025-07-24T04:00:10.7642800Z ##[group]GITHUB_TOKEN Permissions
2025-07-24T04:00:10.7643880Z Contents: read
2025-07-24T04:00:10.7644190Z Metadata: read
2025-07-24T04:00:10.7644470Z ##[endgroup]
2025-07-24T04:00:10.7645530Z Secret source: Actions
2025-07-24T04:00:10.7645890Z Prepare workflow directory
2025-07-24T04:00:11.9625010Z Prepare all required actions
2025-07-24T04:00:11.9651670Z Getting action download info
2025-07-24T04:00:12.1042980Z Download action repository 'pytorch/test-infra@main' (SHA:e32c622fbd62d34f173b9f131f1eca78782b2be2)
2025-07-24T04:00:12.8040230Z Download action repository 'pytorch/pytorch@main' (SHA:07df6ba7f5597488a93b3855d52d2ead55675125)
2025-07-24T04:00:18.6547690Z Getting action download info
2025-07-24T04:00:18.8031080Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-07-24T04:00:19.0183110Z Getting action download info
2025-07-24T04:00:19.1350490Z Uses: pytorch/pytorch/.github/workflows/_mac-test.yml@refs/tags/ciflow/trunk/149961 (27c8ef1839e0747b36769efb192befc9308ff93c)
2025-07-24T04:00:19.1353190Z ##[group] Inputs
2025-07-24T04:00:19.1353430Z   build-environment: macos-py3-arm64
2025-07-24T04:00:19.1354610Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-07-24T04:00:19.1355710Z   sync-tag: 
2025-07-24T04:00:19.1355900Z   python-version: 3.12.7
2025-07-24T04:00:19.1356470Z   timeout-minutes: 270
2025-07-24T04:00:19.1356870Z   disable-monitor: false
2025-07-24T04:00:19.1357110Z   monitor-log-interval: 5
2025-07-24T04:00:19.1357340Z   monitor-data-collect-interval: 1
2025-07-24T04:00:19.1357580Z ##[endgroup]
2025-07-24T04:00:19.1357870Z Complete job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:00:19.1626800Z ##[group]Run sysctl machdep.cpu.brand_string kern.osproductversion
2025-07-24T04:00:19.1627200Z sysctl machdep.cpu.brand_string kern.osproductversion
2025-07-24T04:00:19.1643040Z shell: /bin/bash -e -l {0}
2025-07-24T04:00:19.1643340Z env:
2025-07-24T04:00:19.1643480Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:19.1643660Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:19.1643850Z   TEST_CONFIG: default
2025-07-24T04:00:19.1644010Z   SHARD_NUMBER: 1
2025-07-24T04:00:19.1644150Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:19.1644290Z   PR_BODY: 
2025-07-24T04:00:19.1644430Z ##[endgroup]
2025-07-24T04:00:21.4486730Z machdep.cpu.brand_string: Apple M1
2025-07-24T04:00:21.4487060Z kern.osproductversion: 14.4.1
2025-07-24T04:00:21.4533040Z ##[group]Run for PROCESS in "python" "conda" "ninja" "clang"; do
2025-07-24T04:00:21.4533380Z for PROCESS in "python" "conda" "ninja" "clang"; do
2025-07-24T04:00:21.4533670Z   echo "Cleaning up all remaining ${PROCESS} process"
2025-07-24T04:00:21.4533890Z   pkill "${PROCESS}" || true
2025-07-24T04:00:21.4534070Z done
2025-07-24T04:00:21.4548570Z shell: /bin/bash -e -l {0}
2025-07-24T04:00:21.4548730Z env:
2025-07-24T04:00:21.4548870Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:21.4549040Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:21.4549220Z   TEST_CONFIG: default
2025-07-24T04:00:21.4549370Z   SHARD_NUMBER: 1
2025-07-24T04:00:21.4549510Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:21.4549660Z   PR_BODY: 
2025-07-24T04:00:21.4549800Z ##[endgroup]
2025-07-24T04:00:22.2138320Z Cleaning up all remaining python process
2025-07-24T04:00:22.2207060Z Cleaning up all remaining conda process
2025-07-24T04:00:22.2250560Z Cleaning up all remaining ninja process
2025-07-24T04:00:22.2292590Z Cleaning up all remaining clang process
2025-07-24T04:00:22.2380080Z ##[group]Run if brew list miniconda; then
2025-07-24T04:00:22.2380330Z if brew list miniconda; then
2025-07-24T04:00:22.2380550Z   brew uninstall miniconda
2025-07-24T04:00:22.2380770Z   echo "REINSTALL_BREW_MINICONDA=1" >> "${GITHUB_ENV}"
2025-07-24T04:00:22.2380990Z fi
2025-07-24T04:00:22.2395990Z shell: /bin/bash -e -l {0}
2025-07-24T04:00:22.2396150Z env:
2025-07-24T04:00:22.2396320Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:22.2396490Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:22.2396700Z   TEST_CONFIG: default
2025-07-24T04:00:22.2396860Z   SHARD_NUMBER: 1
2025-07-24T04:00:22.2397020Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:22.2397160Z   PR_BODY: 
2025-07-24T04:00:22.2397280Z ##[endgroup]
2025-07-24T04:00:24.2051350Z /opt/homebrew/Caskroom/miniconda/py313_25.5.1-1/Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-07-24T04:00:24.2051850Z /opt/homebrew/Caskroom/miniconda/.metadata/INSTALL_RECEIPT.json
2025-07-24T04:00:24.2052350Z /opt/homebrew/Caskroom/miniconda/.metadata/py313_25.5.1-1/20250724035012.020/Casks/miniconda.json
2025-07-24T04:00:24.2052740Z /opt/homebrew/Caskroom/miniconda/.metadata/config.json
2025-07-24T04:00:24.2054000Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_limit.3
2025-07-24T04:00:24.2055200Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2syntax.3
2025-07-24T04:00:24.2055990Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2jit.3
2025-07-24T04:00:24.2056870Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2demo.3
2025-07-24T04:00:24.2057810Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_offset_limit.3
2025-07-24T04:00:24.2058820Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_create.3
2025-07-24T04:00:24.2059770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2serialize.3
2025-07-24T04:00:24.2060640Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_bsr.3
2025-07-24T04:00:24.2061660Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2unicode.3
2025-07-24T04:00:24.2062620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_bynumber.3
2025-07-24T04:00:24.2063680Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_byname.3
2025-07-24T04:00:24.2064590Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2api.3
2025-07-24T04:00:24.2064970Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_parens_nest_limit.3
2025-07-24T04:00:24.2065380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_startchar.3
2025-07-24T04:00:24.2065720Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2limits.3
2025-07-24T04:00:24.2066130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_memory_management.3
2025-07-24T04:00:24.2066540Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_newline.3
2025-07-24T04:00:24.2066920Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_depth_limit.3
2025-07-24T04:00:24.2067350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_free.3
2025-07-24T04:00:24.2067750Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_free.3
2025-07-24T04:00:24.2068180Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_max_pattern_length.3
2025-07-24T04:00:24.2068570Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2matching.3
2025-07-24T04:00:24.2068940Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_free.3
2025-07-24T04:00:24.2069330Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_callout.3
2025-07-24T04:00:24.2069720Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy_with_tables.3
2025-07-24T04:00:24.2070130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_escape.3
2025-07-24T04:00:24.2070830Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_extra_options.3
2025-07-24T04:00:24.2071370Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2.3
2025-07-24T04:00:24.2072120Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2perform.3
2025-07-24T04:00:24.2073500Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_info.3
2025-07-24T04:00:24.2074050Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_substitute_callout.3
2025-07-24T04:00:24.2074480Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_create.3
2025-07-24T04:00:24.2074840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2build.3
2025-07-24T04:00:24.2075460Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_byname.3
2025-07-24T04:00:24.2076080Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_free.3
2025-07-24T04:00:24.2076710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_dfa_match.3
2025-07-24T04:00:24.2077440Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2convert.3
2025-07-24T04:00:24.2077960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_match.3
2025-07-24T04:00:24.2078790Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_nametable_scan.3
2025-07-24T04:00:24.2079310Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match.3
2025-07-24T04:00:24.2080190Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_converted_pattern_free.3
2025-07-24T04:00:24.2081330Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_heap_limit.3
2025-07-24T04:00:24.2081950Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_number_from_name.3
2025-07-24T04:00:24.2082370Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_convert.3
2025-07-24T04:00:24.2082910Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables.3
2025-07-24T04:00:24.2083760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_free.3
2025-07-24T04:00:24.2084240Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_free.3
2025-07-24T04:00:24.2084870Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_compile.3
2025-07-24T04:00:24.2085520Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile.3
2025-07-24T04:00:24.2086490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_pointer.3
2025-07-24T04:00:24.2086970Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_get.3
2025-07-24T04:00:24.2087710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_free.3
2025-07-24T04:00:24.2088400Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_match_data_size.3
2025-07-24T04:00:24.2089170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_copy.3
2025-07-24T04:00:24.2090540Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_character_tables.3
2025-07-24T04:00:24.2091020Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_error_message.3
2025-07-24T04:00:24.2091450Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_create.3
2025-07-24T04:00:24.2092070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_separator.3
2025-07-24T04:00:24.2092710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables_free.3
2025-07-24T04:00:24.2093560Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_free.3
2025-07-24T04:00:24.2094160Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_decode.3
2025-07-24T04:00:24.2094910Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_copy.3
2025-07-24T04:00:24.2095480Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy.3
2025-07-24T04:00:24.2096110Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2compat.3
2025-07-24T04:00:24.2097210Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create_from_pattern.3
2025-07-24T04:00:24.2097740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_match_limit.3
2025-07-24T04:00:24.2098610Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_copy.3
2025-07-24T04:00:24.2099020Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_encode.3
2025-07-24T04:00:24.2099730Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substitute.3
2025-07-24T04:00:24.2102010Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_count.3
2025-07-24T04:00:24.2102740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_mark.3
2025-07-24T04:00:24.2103130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_assign.3
2025-07-24T04:00:24.2103560Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_free.3
2025-07-24T04:00:24.2103930Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2callout.3
2025-07-24T04:00:24.2104300Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create.3
2025-07-24T04:00:24.2104710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_byname.3
2025-07-24T04:00:24.2105360Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_bynumber.3
2025-07-24T04:00:24.2105890Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2sample.3
2025-07-24T04:00:24.2106770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_bynumber.3
2025-07-24T04:00:24.2107480Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2partial.3
2025-07-24T04:00:24.2107870Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2posix.3
2025-07-24T04:00:24.2108690Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_create.3
2025-07-24T04:00:24.2109430Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_copy.3
2025-07-24T04:00:24.2109990Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_config.3
2025-07-24T04:00:24.2110840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_recursion_guard.3
2025-07-24T04:00:24.2111650Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_get_number_of_codes.3
2025-07-24T04:00:24.2112380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_create.3
2025-07-24T04:00:24.2113140Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_free_unused_memory.3
2025-07-24T04:00:24.2113830Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_callout_enumerate.3
2025-07-24T04:00:24.2114510Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_free.3
2025-07-24T04:00:24.2115080Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2pattern.3
2025-07-24T04:00:24.2115640Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzegrep.1
2025-07-24T04:00:24.2116180Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzmore.1
2025-07-24T04:00:24.2116730Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzdiff.1
2025-07-24T04:00:24.2117300Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzfgrep.1
2025-07-24T04:00:24.2117830Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzip2.1
2025-07-24T04:00:24.2118460Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2grep.1
2025-07-24T04:00:24.2118970Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzcmp.1
2025-07-24T04:00:24.2119540Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2test.1
2025-07-24T04:00:24.2120080Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzgrep.1
2025-07-24T04:00:24.2120760Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2-config.1
2025-07-24T04:00:24.2121290Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzless.1
2025-07-24T04:00:24.2122330Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/conda-libmamba-solver-25.4.0-pyhd3eb1b0_0.json
2025-07-24T04:00:24.2123080Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pygments-2.19.1-py313hca03da5_0.json
2025-07-24T04:00:24.2123940Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/nlohmann_json-3.11.2-h313beb8_0.json
2025-07-24T04:00:24.2124630Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/fmt-9.1.0-h48ca7d4_1.json
2025-07-24T04:00:24.2125620Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/tzdata-2025b-h04d1e81_0.json
2025-07-24T04:00:24.2126250Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/libedit-3.1.20230828-h80987f9_0.json
2025-07-24T04:00:24.2127110Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/cryptography-45.0.3-py313h47897c2_0.json
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2025-07-24T04:00:24.3755760Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/relaxng.h
2025-07-24T04:00:24.3756450Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanohttp.h
2025-07-24T04:00:24.3757180Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlunicode.h
2025-07-24T04:00:24.3757850Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlwriter.h
2025-07-24T04:00:24.3758570Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmemory.h
2025-07-24T04:00:24.3759330Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpathInternals.h
2025-07-24T04:00:24.3760000Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanoftp.h
2025-07-24T04:00:24.3760630Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/hash.h
2025-07-24T04:00:24.3761390Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemas.h
2025-07-24T04:00:24.3761890Z /opt/homebrew/Caskroom/miniconda/base/include/profile.h
2025-07-24T04:00:24.3762600Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2ver.h
2025-07-24T04:00:24.3763190Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2.h
2025-07-24T04:00:24.3763960Z /opt/homebrew/Caskroom/miniconda/base/include/pqStubs.h
2025-07-24T04:00:24.3764310Z /opt/homebrew/Caskroom/miniconda/base/include/tclOODecls.h
2025-07-24T04:00:24.3764820Z /opt/homebrew/Caskroom/miniconda/base/include/zdict.h
2025-07-24T04:00:24.3765380Z /opt/homebrew/Caskroom/miniconda/base/include/cursesf.h
2025-07-24T04:00:24.3766090Z /opt/homebrew/Caskroom/miniconda/base/include/itclTclIntStubsFcn.h
2025-07-24T04:00:24.3766670Z /opt/homebrew/Caskroom/miniconda/base/include/ares_version.h
2025-07-24T04:00:24.3767320Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/termcap.h
2025-07-24T04:00:24.3767940Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesp.h
2025-07-24T04:00:24.3769360Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesf.h
2025-07-24T04:00:24.3769690Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/etip.h
2025-07-24T04:00:24.3770060Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/form.h
2025-07-24T04:00:24.3770390Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesw.h
2025-07-24T04:00:24.3770990Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/nc_tparm.h
2025-07-24T04:00:24.3771580Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/unctrl.h
2025-07-24T04:00:24.3772230Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesapp.h
2025-07-24T04:00:24.3772830Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term.h
2025-07-24T04:00:24.3773420Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursslk.h
2025-07-24T04:00:24.3774020Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/panel.h
2025-07-24T04:00:24.3774630Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses.h
2025-07-24T04:00:24.3775200Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/tic.h
2025-07-24T04:00:24.3775920Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/eti.h
2025-07-24T04:00:24.3776630Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses_dll.h
2025-07-24T04:00:24.3777280Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term_entry.h
2025-07-24T04:00:24.3777830Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/menu.h
2025-07-24T04:00:24.3778480Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesm.h
2025-07-24T04:00:24.3779080Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/curses.h
2025-07-24T04:00:24.3779630Z /opt/homebrew/Caskroom/miniconda/base/include/tclPort.h
2025-07-24T04:00:24.3780290Z /opt/homebrew/Caskroom/miniconda/base/include/etip.h
2025-07-24T04:00:24.3781970Z /opt/homebrew/Caskroom/miniconda/base/include/tkDList.h
2025-07-24T04:00:24.3782270Z /opt/homebrew/Caskroom/miniconda/base/include/itclIntDecls.h
2025-07-24T04:00:24.3783250Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXFont.h
2025-07-24T04:00:24.3783550Z /opt/homebrew/Caskroom/miniconda/base/include/histedit.h
2025-07-24T04:00:24.3783840Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixInt.h
2025-07-24T04:00:24.3784160Z /opt/homebrew/Caskroom/miniconda/base/include/test_data.hpp
2025-07-24T04:00:24.3784830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/translit.h
2025-07-24T04:00:24.3912930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustdio.h
2025-07-24T04:00:24.3913280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf_old.h
2025-07-24T04:00:24.3913820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucsdet.h
2025-07-24T04:00:24.3914400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzfmt.h
2025-07-24T04:00:24.3914970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubrk.h
2025-07-24T04:00:24.3915680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ufieldpositer.h
2025-07-24T04:00:24.3916350Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localematcher.h
2025-07-24T04:00:24.3917000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringpiece.h
2025-07-24T04:00:24.3917570Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucat.h
2025-07-24T04:00:24.3918300Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tblcoll.h
2025-07-24T04:00:24.3919300Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringoptions.h
2025-07-24T04:00:24.3919680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtfmtsym.h
2025-07-24T04:00:24.3920250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unirepl.h
2025-07-24T04:00:24.3920790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ptypes.h
2025-07-24T04:00:24.3921410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fmtable.h
2025-07-24T04:00:24.3922010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvfmt.h
2025-07-24T04:00:24.3922630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/choicfmt.h
2025-07-24T04:00:24.3923440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberrangeformatter.h
2025-07-24T04:00:24.3924960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberrangeformatter.h
2025-07-24T04:00:24.3925330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usetiter.h
2025-07-24T04:00:24.3925680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/errorcode.h
2025-07-24T04:00:24.3926020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tznames.h
2025-07-24T04:00:24.3926670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtintrv.h
2025-07-24T04:00:24.3927580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usimplenumberformatter.h
2025-07-24T04:00:24.3928000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucurr.h
2025-07-24T04:00:24.3928610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icuplug.h
2025-07-24T04:00:24.3929400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregion.h
2025-07-24T04:00:24.3929870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utext.h
2025-07-24T04:00:24.3930440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/edits.h
2025-07-24T04:00:24.3931200Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parsepos.h
2025-07-24T04:00:24.3931720Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucal.h
2025-07-24T04:00:24.3932340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fpositer.h
2025-07-24T04:00:24.3932960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvinf.h
2025-07-24T04:00:24.3933540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbnf.h
2025-07-24T04:00:24.3934110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udat.h
2025-07-24T04:00:24.3934700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urep.h
2025-07-24T04:00:24.3971130Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf32.h
2025-07-24T04:00:24.3971480Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/vtzone.h
2025-07-24T04:00:24.3971860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustring.h
2025-07-24T04:00:24.3972260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubiditransform.h
2025-07-24T04:00:24.3972620Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uenum.h
2025-07-24T04:00:24.3972990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umutablecptrie.h
2025-07-24T04:00:24.3973400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/appendable.h
2025-07-24T04:00:24.3973750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usearch.h
2025-07-24T04:00:24.3974090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numsys.h
2025-07-24T04:00:24.3974440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/timezone.h
2025-07-24T04:00:24.3974760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uset.h
2025-07-24T04:00:24.3975120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/casemap.h
2025-07-24T04:00:24.3975460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coleitr.h
2025-07-24T04:00:24.3975800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/schriter.h
2025-07-24T04:00:24.3976150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/msgfmt.h
2025-07-24T04:00:24.3976500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fieldpos.h
2025-07-24T04:00:24.3977240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpletz.h
2025-07-24T04:00:24.3977910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucpmap.h
2025-07-24T04:00:24.3978270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uldnames.h
2025-07-24T04:00:24.3978650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberformatter.h
2025-07-24T04:00:24.3979030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uiter.h
2025-07-24T04:00:24.3979360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umsg.h
2025-07-24T04:00:24.3979690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/sortkey.h
2025-07-24T04:00:24.3980100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simplenumberformatter.h
2025-07-24T04:00:24.3980500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/docmain.h
2025-07-24T04:00:24.3980850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uniset.h
2025-07-24T04:00:24.3981180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/basictz.h
2025-07-24T04:00:24.3981520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udata.h
2025-07-24T04:00:24.3981910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringtriebuilder.h
2025-07-24T04:00:24.3982280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/chariter.h
2025-07-24T04:00:24.3982620Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umisc.h
2025-07-24T04:00:24.3982970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/reldatefmt.h
2025-07-24T04:00:24.3983310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uloc.h
2025-07-24T04:00:24.3983650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurrule.h
2025-07-24T04:00:24.3984040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattednumber.h
2025-07-24T04:00:24.3984430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestriebuilder.h
2025-07-24T04:00:24.3984810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measunit.h
2025-07-24T04:00:24.3985140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrace.h
2025-07-24T04:00:24.3985510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locdspnm.h
2025-07-24T04:00:24.3985950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gregocal.h
2025-07-24T04:00:24.3986290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchriter.h
2025-07-24T04:00:24.3986650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/enumset.h
2025-07-24T04:00:24.3987000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/nounit.h
2025-07-24T04:00:24.3987320Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf.h
2025-07-24T04:00:24.3987670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measure.h
2025-07-24T04:00:24.3988000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzrule.h
2025-07-24T04:00:24.3988340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/strenum.h
2025-07-24T04:00:24.3988700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/regex.h
2025-07-24T04:00:24.3989020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gender.h
2025-07-24T04:00:24.3989360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dcfmtsym.h
2025-07-24T04:00:24.3989720Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_err.h
2025-07-24T04:00:24.3990060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/decimfmt.h
2025-07-24T04:00:24.3990400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestrie.h
2025-07-24T04:00:24.3990760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udatpg.h
2025-07-24T04:00:24.3991120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/listformatter.h
2025-07-24T04:00:24.3991480Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uobject.h
2025-07-24T04:00:24.3991830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/calendar.h
2025-07-24T04:00:24.3992170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ures.h
2025-07-24T04:00:24.3992500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normlzr.h
2025-07-24T04:00:24.3992840Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usprep.h
2025-07-24T04:00:24.3993450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urename.h
2025-07-24T04:00:24.3993980Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/caniter.h
2025-07-24T04:00:24.3994310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucol.h
2025-07-24T04:00:24.3994680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/upluralrules.h
2025-07-24T04:00:24.3995060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstrie.h
2025-07-24T04:00:24.3995400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmunit.h
2025-07-24T04:00:24.3995750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unistr.h
2025-07-24T04:00:24.3996070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbbi.h
2025-07-24T04:00:24.3996410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulocdata.h
2025-07-24T04:00:24.3996750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/idna.h
2025-07-24T04:00:24.3997070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm2.h
2025-07-24T04:00:24.3997450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localebuilder.h
2025-07-24T04:00:24.3997830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtptngen.h
2025-07-24T04:00:24.3998160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dbbi.h
2025-07-24T04:00:24.3998510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestream.h
2025-07-24T04:00:24.3998860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uversion.h
2025-07-24T04:00:24.3999220Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/messagepattern.h
2025-07-24T04:00:24.3999610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uidna.h
2025-07-24T04:00:24.3999960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/filteredbrk.h
2025-07-24T04:00:24.4000310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutamt.h
2025-07-24T04:00:24.4000680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/char16ptr.h
2025-07-24T04:00:24.4001050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattedvalue.h
2025-07-24T04:00:24.4001420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/symtable.h
2025-07-24T04:00:24.4001810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucasemap.h
2025-07-24T04:00:24.4002150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucoleitr.h
2025-07-24T04:00:24.4002530Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/compactdecimalformat.h
2025-07-24T04:00:24.4002930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unum.h
2025-07-24T04:00:24.4003290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplaycontext.h
2025-07-24T04:00:24.4003650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tztrans.h
2025-07-24T04:00:24.4004000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umachine.h
2025-07-24T04:00:24.4004360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberformatter.h
2025-07-24T04:00:24.4004730Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/datefmt.h
2025-07-24T04:00:24.4005070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utmscale.h
2025-07-24T04:00:24.4005410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coll.h
2025-07-24T04:00:24.4005750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currpinf.h
2025-07-24T04:00:24.4006100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregex.h
2025-07-24T04:00:24.4006450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutfmt.h
2025-07-24T04:00:24.4006790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurfmt.h
2025-07-24T04:00:24.4007140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustringtrie.h
2025-07-24T04:00:24.4007510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/smpdtfmt.h
2025-07-24T04:00:24.4007850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucptrie.h
2025-07-24T04:00:24.4008230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplayoptions.h
2025-07-24T04:00:24.4008620Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icudataver.h
2025-07-24T04:00:24.4009330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchar.h
2025-07-24T04:00:24.4009880Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm.h
2025-07-24T04:00:24.4010230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ushape.h
2025-07-24T04:00:24.4010560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifunct.h
2025-07-24T04:00:24.4010910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ugender.h
2025-07-24T04:00:24.4011260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/selfmt.h
2025-07-24T04:00:24.4011610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattable.h
2025-07-24T04:00:24.4011970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustream.h
2025-07-24T04:00:24.4012340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpleformatter.h
2025-07-24T04:00:24.4012720Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_cb.h
2025-07-24T04:00:24.4013060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/curramt.h
2025-07-24T04:00:24.4013400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locid.h
2025-07-24T04:00:24.4013790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udateintervalformat.h
2025-07-24T04:00:24.4014180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/resbund.h
2025-07-24T04:00:24.4014510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubidi.h
2025-07-24T04:00:24.4014860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stsearch.h
2025-07-24T04:00:24.4015220Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/alphaindex.h
2025-07-24T04:00:24.4015590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uvernum.h
2025-07-24T04:00:24.4015920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unimatch.h
2025-07-24T04:00:24.4016270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbtz.h
2025-07-24T04:00:24.4016600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnvsel.h
2025-07-24T04:00:24.4016930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uspoof.h
2025-07-24T04:00:24.4017270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/region.h
2025-07-24T04:00:24.4017640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ureldatefmt.h
2025-07-24T04:00:24.4017990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrans.h
2025-07-24T04:00:24.4018330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parseerr.h
2025-07-24T04:00:24.4018670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/putil.h
2025-07-24T04:00:24.4019000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/format.h
2025-07-24T04:00:24.4019400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/scientificnumberformatter.h
2025-07-24T04:00:24.4019840Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/displayoptions.h
2025-07-24T04:00:24.4020230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normalizer2.h
2025-07-24T04:00:24.4020580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtrule.h
2025-07-24T04:00:24.4020930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberoptions.h
2025-07-24T04:00:24.4021270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv.h
2025-07-24T04:00:24.4022150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstriebuilder.h
2025-07-24T04:00:24.4022530Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/search.h
2025-07-24T04:00:24.4022860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumsys.h
2025-07-24T04:00:24.4023340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uconfig.h
2025-07-24T04:00:24.4023920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf16.h
2025-07-24T04:00:24.4024510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/brkiter.h
2025-07-24T04:00:24.4025250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattedvalue.h
2025-07-24T04:00:24.4025810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/platform.h
2025-07-24T04:00:24.4026400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rep.h
2025-07-24T04:00:24.4027160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattednumber.h
2025-07-24T04:00:24.4028160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/std_string.h
2025-07-24T04:00:24.4028800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf8.h
2025-07-24T04:00:24.4029150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localpointer.h
2025-07-24T04:00:24.4029650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uclean.h
2025-07-24T04:00:24.4030280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uscript.h
2025-07-24T04:00:24.4030860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numfmt.h
2025-07-24T04:00:24.4031500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currunit.h
2025-07-24T04:00:24.4032100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utypes.h
2025-07-24T04:00:24.4032820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulistformatter.h
2025-07-24T04:00:24.4033410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measfmt.h
2025-07-24T04:00:24.4034020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifilt.h
2025-07-24T04:00:24.4034580Z /opt/homebrew/Caskroom/miniconda/base/include/form.h
2025-07-24T04:00:24.4035130Z /opt/homebrew/Caskroom/miniconda/base/include/tclUnixPort.h
2025-07-24T04:00:24.4035800Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/export.hpp
2025-07-24T04:00:24.4036490Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/reproc.hpp
2025-07-24T04:00:24.4037050Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/env.hpp
2025-07-24T04:00:24.4037750Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/array.hpp
2025-07-24T04:00:24.4038520Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/type_traits.hpp
2025-07-24T04:00:24.4039070Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/run.hpp
2025-07-24T04:00:24.4039710Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/input.hpp
2025-07-24T04:00:24.4040390Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/arguments.hpp
2025-07-24T04:00:24.4041170Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/drain.hpp
2025-07-24T04:00:24.4041480Z /opt/homebrew/Caskroom/miniconda/base/include/tcl.h
2025-07-24T04:00:24.4042290Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/chpass_util_strings.h
2025-07-24T04:00:24.4042850Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/kadm_err.h
2025-07-24T04:00:24.4043450Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/admin.h
2025-07-24T04:00:24.4044110Z /opt/homebrew/Caskroom/miniconda/base/include/itclMigrate2TclCore.h
2025-07-24T04:00:24.4044680Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ostream.h
2025-07-24T04:00:24.4045280Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format-inl.h
2025-07-24T04:00:24.4045850Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ranges.h
2025-07-24T04:00:24.4046420Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/xchar.h
2025-07-24T04:00:24.4047010Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/core.h
2025-07-24T04:00:24.4047550Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/chrono.h
2025-07-24T04:00:24.4048080Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/os.h
2025-07-24T04:00:24.4048630Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/color.h
2025-07-24T04:00:24.4049180Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/args.h
2025-07-24T04:00:24.4049750Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/printf.h
2025-07-24T04:00:24.4050340Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/compile.h
2025-07-24T04:00:24.4050910Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format.h
2025-07-24T04:00:24.4051430Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/std.h
2025-07-24T04:00:24.4052010Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2posix.h
2025-07-24T04:00:24.4052530Z /opt/homebrew/Caskroom/miniconda/base/include/cursesw.h
2025-07-24T04:00:24.4053070Z /opt/homebrew/Caskroom/miniconda/base/include/itcl.h
2025-07-24T04:00:24.4053680Z /opt/homebrew/Caskroom/miniconda/base/include/ares_build.h
2025-07-24T04:00:24.4054240Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntDecls.h
2025-07-24T04:00:24.4054780Z /opt/homebrew/Caskroom/miniconda/base/include/nc_tparm.h
2025-07-24T04:00:24.4055530Z /opt/homebrew/Caskroom/miniconda/base/include/lz4.h
2025-07-24T04:00:24.4055820Z /opt/homebrew/Caskroom/miniconda/base/include/com_err.h
2025-07-24T04:00:24.4056510Z /opt/homebrew/Caskroom/miniconda/base/include/readline/readline.h
2025-07-24T04:00:24.4057110Z /opt/homebrew/Caskroom/miniconda/base/include/readline/keymaps.h
2025-07-24T04:00:24.4057730Z /opt/homebrew/Caskroom/miniconda/base/include/readline/tilde.h
2025-07-24T04:00:24.4058350Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlconf.h
2025-07-24T04:00:24.4059060Z /opt/homebrew/Caskroom/miniconda/base/include/readline/chardefs.h
2025-07-24T04:00:24.4059640Z /opt/homebrew/Caskroom/miniconda/base/include/readline/history.h
2025-07-24T04:00:24.4060270Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlstdc.h
2025-07-24T04:00:24.4060930Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rltypedefs.h
2025-07-24T04:00:24.4061470Z /opt/homebrew/Caskroom/miniconda/base/include/tkImgPhoto.h
2025-07-24T04:00:24.4062060Z /opt/homebrew/Caskroom/miniconda/base/include/verto-module.h
2025-07-24T04:00:24.4062560Z /opt/homebrew/Caskroom/miniconda/base/include/bzlib.h
2025-07-24T04:00:24.4063190Z /opt/homebrew/Caskroom/miniconda/base/include/localcharset.h
2025-07-24T04:00:24.4063670Z /opt/homebrew/Caskroom/miniconda/base/include/ares.h
2025-07-24T04:00:24.4064470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/activation.hpp
2025-07-24T04:00:24.4065340Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/environments_manager.hpp
2025-07-24T04:00:24.4065950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction.hpp
2025-07-24T04:00:24.4066700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_handling.hpp
2025-07-24T04:00:24.4067330Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/invoke.hpp
2025-07-24T04:00:24.4068060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/prefix_data.hpp
2025-07-24T04:00:24.4068770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/common_types.hpp
2025-07-24T04:00:24.4069420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/palette.hpp
2025-07-24T04:00:24.4070060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/link.hpp
2025-07-24T04:00:24.4405230Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/error_handling.hpp
2025-07-24T04:00:24.4406170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/repo_checker_store.hpp
2025-07-24T04:00:24.4406590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_fetcher.hpp
2025-07-24T04:00:24.4407310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/execution.hpp
2025-07-24T04:00:24.4407860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/subdirdata.hpp
2025-07-24T04:00:24.4408590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/shell_init.hpp
2025-07-24T04:00:24.4409210Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/fsutil.hpp
2025-07-24T04:00:24.4410000Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/channel_context.hpp
2025-07-24T04:00:24.4410660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/env_lockfile.hpp
2025-07-24T04:00:24.4411340Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_scope.hpp
2025-07-24T04:00:24.4412220Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction_context.hpp
2025-07-24T04:00:24.4413010Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/download_progress_bar.hpp
2025-07-24T04:00:24.4413660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/context.hpp
2025-07-24T04:00:24.4414290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/timeref.hpp
2025-07-24T04:00:24.4414970Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_os.hpp
2025-07-24T04:00:24.4415620Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/tasksync.hpp
2025-07-24T04:00:24.4416460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/history.hpp
2025-07-24T04:00:24.4417140Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/progress_bar.hpp
2025-07-24T04:00:24.4417630Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/run.hpp
2025-07-24T04:00:24.4418380Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_paths.hpp
2025-07-24T04:00:24.4419350Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_database_loader.hpp
2025-07-24T04:00:24.4419960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/virtual_packages.hpp
2025-07-24T04:00:24.4420690Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/thread_utils.hpp
2025-07-24T04:00:24.4421310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/output.hpp
2025-07-24T04:00:24.4422300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_cache.hpp
2025-07-24T04:00:24.4422710Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/pinning.hpp
2025-07-24T04:00:24.4423360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/query.hpp
2025-07-24T04:00:24.4423980Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util.hpp
2025-07-24T04:00:24.4424660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/menuinst.hpp
2025-07-24T04:00:24.4425290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cast.hpp
2025-07-24T04:00:24.4425970Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_unix.hpp
2025-07-24T04:00:24.4426710Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cryptography.hpp
2025-07-24T04:00:24.4427330Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/build.hpp
2025-07-24T04:00:24.4427950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/json.hpp
2025-07-24T04:00:24.4428680Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_osx.hpp
2025-07-24T04:00:24.4429420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/weakening_map.hpp
2025-07-24T04:00:24.4430100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/path_manip.hpp
2025-07-24T04:00:24.4430860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_binary_tree.hpp
2025-07-24T04:00:24.4431560Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/variant_cmp.hpp
2025-07-24T04:00:24.4432310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/encoding.hpp
2025-07-24T04:00:24.4432960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/functional.hpp
2025-07-24T04:00:24.4433740Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_bool_expr_tree.hpp
2025-07-24T04:00:24.4434420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/type_traits.hpp
2025-07-24T04:00:24.4435670Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/random.hpp
2025-07-24T04:00:24.4436370Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_linux.hpp
2025-07-24T04:00:24.4437100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/heap_optional.hpp
2025-07-24T04:00:24.4437970Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/graph.hpp
2025-07-24T04:00:24.4438490Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/loop_control.hpp
2025-07-24T04:00:24.4439060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url.hpp
2025-07-24T04:00:24.4439720Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_win.hpp
2025-07-24T04:00:24.4440430Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url_manip.hpp
2025-07-24T04:00:24.4441110Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/string.hpp
2025-07-24T04:00:24.4441820Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/deprecation.hpp
2025-07-24T04:00:24.4442460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/parsers.hpp
2025-07-24T04:00:24.4443090Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cfile.hpp
2025-07-24T04:00:24.4443700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os.hpp
2025-07-24T04:00:24.4444650Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/conditional.hpp
2025-07-24T04:00:24.4445140Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_set.hpp
2025-07-24T04:00:24.4445900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/compare.hpp
2025-07-24T04:00:24.4446480Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/iterator.hpp
2025-07-24T04:00:24.4447170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/environment.hpp
2025-07-24T04:00:24.4447860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/tuple_hash.hpp
2025-07-24T04:00:24.4448540Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/archive.hpp
2025-07-24T04:00:24.4449260Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/package_info.hpp
2025-07-24T04:00:24.4449950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/match_spec.hpp
2025-07-24T04:00:24.4450650Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/glob_spec.hpp
2025-07-24T04:00:24.4462180Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/repo_data.hpp
2025-07-24T04:00:24.4462600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/regex_spec.hpp
2025-07-24T04:00:24.4463010Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/chimera_string_spec.hpp
2025-07-24T04:00:24.4463420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/platform.hpp
2025-07-24T04:00:24.4463790Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/error.hpp
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2025-07-24T04:00:24.4464510Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/channel.hpp
2025-07-24T04:00:24.4464880Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/conda_url.hpp
2025-07-24T04:00:24.4465270Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/unresolved_channel.hpp
2025-07-24T04:00:24.4465700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/build_number_spec.hpp
2025-07-24T04:00:24.4466130Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/authentication_info.hpp
2025-07-24T04:00:24.4466540Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/version_spec.hpp
2025-07-24T04:00:24.4466930Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/request.hpp
2025-07-24T04:00:24.4467300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/solution.hpp
2025-07-24T04:00:24.4467700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/problems_graph.hpp
2025-07-24T04:00:24.4468110Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/solver.hpp
2025-07-24T04:00:24.4468530Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/unsolvable.hpp
2025-07-24T04:00:24.4468960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/database.hpp
2025-07-24T04:00:24.4469390Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/parameters.hpp
2025-07-24T04:00:24.4469810Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/repo_info.hpp
2025-07-24T04:00:24.4470190Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/version.hpp
2025-07-24T04:00:24.4470560Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/mirror_map.hpp
2025-07-24T04:00:24.4470960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/downloader.hpp
2025-07-24T04:00:24.4471340Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/mirror.hpp
2025-07-24T04:00:24.4471720Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/request.hpp
2025-07-24T04:00:24.4472080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/update.hpp
2025-07-24T04:00:24.4472420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/info.hpp
2025-07-24T04:00:24.4472790Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/configuration_impl.hpp
2025-07-24T04:00:24.4473170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/shell.hpp
2025-07-24T04:00:24.4473530Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/channel_loader.hpp
2025-07-24T04:00:24.4473900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/install.hpp
2025-07-24T04:00:24.4474390Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/c_api.h
2025-07-24T04:00:24.4474810Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/repoquery.hpp
2025-07-24T04:00:24.4475170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/config.hpp
2025-07-24T04:00:24.4475510Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/list.hpp
2025-07-24T04:00:24.4475870Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/configuration.hpp
2025-07-24T04:00:24.4476460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/create.hpp
2025-07-24T04:00:24.4477100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/clean.hpp
2025-07-24T04:00:24.4477820Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/constants.hpp
2025-07-24T04:00:24.4478410Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/remove.hpp
2025-07-24T04:00:24.4479080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/fs/filesystem.hpp
2025-07-24T04:00:24.4479790Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/errors.hpp
2025-07-24T04:00:24.4480470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/keys.hpp
2025-07-24T04:00:24.4481370Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework_v0_6.hpp
2025-07-24T04:00:24.4482100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/repo_checker.hpp
2025-07-24T04:00:24.4482780Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/tools.hpp
2025-07-24T04:00:24.4483680Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework_v1.hpp
2025-07-24T04:00:24.4484470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework.hpp
2025-07-24T04:00:24.4484890Z /opt/homebrew/Caskroom/miniconda/base/include/tclInt.h
2025-07-24T04:00:24.4485480Z /opt/homebrew/Caskroom/miniconda/base/include/tclThread.h
2025-07-24T04:00:24.4485990Z /opt/homebrew/Caskroom/miniconda/base/include/tkScale.h
2025-07-24T04:00:24.4486610Z /opt/homebrew/Caskroom/miniconda/base/include/tl/expected.hpp
2025-07-24T04:00:24.4487260Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntPlatDecls.h
2025-07-24T04:00:24.4487800Z /opt/homebrew/Caskroom/miniconda/base/include/unctrl.h
2025-07-24T04:00:24.4488560Z /opt/homebrew/Caskroom/miniconda/base/include/tdbcInt.h
2025-07-24T04:00:24.4488880Z /opt/homebrew/Caskroom/miniconda/base/include/cursesapp.h
2025-07-24T04:00:24.4489420Z /opt/homebrew/Caskroom/miniconda/base/include/tk3d.h
2025-07-24T04:00:24.4490040Z /opt/homebrew/Caskroom/miniconda/base/include/expat_external.h
2025-07-24T04:00:24.4490570Z /opt/homebrew/Caskroom/miniconda/base/include/tdbcDecls.h
2025-07-24T04:00:24.4491080Z /opt/homebrew/Caskroom/miniconda/base/include/ev++.h
2025-07-24T04:00:24.4491640Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOInt.h
2025-07-24T04:00:24.4492240Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixDefault.h
2025-07-24T04:00:24.4492740Z /opt/homebrew/Caskroom/miniconda/base/include/tclOO.h
2025-07-24T04:00:24.4493390Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/traits.h
2025-07-24T04:00:24.4494120Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/eventhandler.h
2025-07-24T04:00:24.4494700Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitter.h
2025-07-24T04:00:24.4495310Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/anchor.h
2025-07-24T04:00:24.4495920Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/mark.h
2025-07-24T04:00:24.4496640Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitterdef.h
2025-07-24T04:00:24.4497210Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/parser.h
2025-07-24T04:00:24.4497820Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/null.h
2025-07-24T04:00:24.4498470Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/exceptions.h
2025-07-24T04:00:24.4499150Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitterstyle.h
2025-07-24T04:00:24.4499770Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/noexcept.h
2025-07-24T04:00:24.4500460Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emittermanip.h
2025-07-24T04:00:24.4501450Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitfromevents.h
2025-07-24T04:00:24.4501890Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/dll.h
2025-07-24T04:00:24.4502790Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/contrib/graphbuilder.h
2025-07-24T04:00:24.4503270Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/contrib/anchordict.h
2025-07-24T04:00:24.4503820Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/yaml.h
2025-07-24T04:00:24.4504470Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/type.h
2025-07-24T04:00:24.4505140Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/parse.h
2025-07-24T04:00:24.4505780Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/node.h
2025-07-24T04:00:24.4506580Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node_data.h
2025-07-24T04:00:24.4507340Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node_ref.h
2025-07-24T04:00:24.4508030Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node.h
2025-07-24T04:00:24.4508800Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/memory.h
2025-07-24T04:00:24.4509590Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node_iterator.h
2025-07-24T04:00:24.4510260Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/impl.h
2025-07-24T04:00:24.4511060Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/iterator_fwd.h
2025-07-24T04:00:24.4511800Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/iterator.h
2025-07-24T04:00:24.4512420Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/ptr.h
2025-07-24T04:00:24.4513090Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/convert.h
2025-07-24T04:00:24.4513730Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/impl.h
2025-07-24T04:00:24.4514390Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/emit.h
2025-07-24T04:00:24.4515200Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/iterator.h
2025-07-24T04:00:24.4515790Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/ostream_wrapper.h
2025-07-24T04:00:24.4516460Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/stlemitter.h
2025-07-24T04:00:24.4517040Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/binary.h
2025-07-24T04:00:24.4517700Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/depthguard.h
2025-07-24T04:00:24.4518210Z /opt/homebrew/Caskroom/miniconda/base/include/simdjson.h
2025-07-24T04:00:24.4518720Z /opt/homebrew/Caskroom/miniconda/base/include/term.h
2025-07-24T04:00:24.4519280Z /opt/homebrew/Caskroom/miniconda/base/include/cursslk.h
2025-07-24T04:00:24.4519890Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXColor.h
2025-07-24T04:00:24.4520660Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter-inl.h
2025-07-24T04:00:24.4521230Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fwd.h
2025-07-24T04:00:24.4521860Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/version.h
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2025-07-24T04:00:24.4523120Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/ranges.h
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2025-07-24T04:00:24.4524370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/chrono.h
2025-07-24T04:00:24.4525030Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/bin_to_hex.h
2025-07-24T04:00:24.4525620Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/fmt.h
2025-07-24T04:00:24.4526270Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/compile.h
2025-07-24T04:00:24.4526930Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/ostr.h
2025-07-24T04:00:24.4527560Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger-inl.h
2025-07-24T04:00:24.4528270Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/qt_sinks.h
2025-07-24T04:00:24.4529050Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/ansicolor_sink-inl.h
2025-07-24T04:00:24.4529880Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/hourly_file_sink.h
2025-07-24T04:00:24.4530490Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/stdout_sinks.h
2025-07-24T04:00:24.4531250Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/basic_file_sink.h
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2025-07-24T04:00:24.4541280Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/android_sink.h
2025-07-24T04:00:24.4542040Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/stdout_sinks-inl.h
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2025-07-24T04:00:24.4543370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/syslog_sink.h
2025-07-24T04:00:24.4544130Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/dup_filter_sink.h
2025-07-24T04:00:24.4544880Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/win_eventlog_sink.h
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2025-07-24T04:00:24.4546370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/ostream_sink.h
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2025-07-24T04:00:24.4547900Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/rotating_file_sink-inl.h
2025-07-24T04:00:24.4548660Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/basic_file_sink-inl.h
2025-07-24T04:00:24.4549300Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/null_sink.h
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2025-07-24T04:00:24.4550750Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/wincolor_sink.h
2025-07-24T04:00:24.4551340Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/formatter.h
2025-07-24T04:00:24.4552000Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/common-inl.h
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2025-07-24T04:00:24.4554230Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/udp_client.h
2025-07-24T04:00:24.4554960Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/file_helper.h
2025-07-24T04:00:24.4555790Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/periodic_worker-inl.h
2025-07-24T04:00:24.4556650Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/udp_client-windows.h
2025-07-24T04:00:24.4557370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/periodic_worker.h
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2025-07-24T04:00:24.4558720Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/os.h
2025-07-24T04:00:24.4559520Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/thread_pool-inl.h
2025-07-24T04:00:24.4560210Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/fmt_helper.h
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2025-07-24T04:00:24.4562550Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/backtracer.h
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2025-07-24T04:00:24.5107580Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/thread_pool.h
2025-07-24T04:00:24.5107990Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/circular_q.h
2025-07-24T04:00:24.5108790Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/synchronous_factory.h
2025-07-24T04:00:24.5109410Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/os-inl.h
2025-07-24T04:00:24.5110240Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/log_msg.h
2025-07-24T04:00:24.5110860Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/backtracer-inl.h
2025-07-24T04:00:24.5111610Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/file_helper-inl.h
2025-07-24T04:00:24.5112350Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/log_msg_buffer.h
2025-07-24T04:00:24.5113110Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client.h
2025-07-24T04:00:24.5114040Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/console_globals.h
2025-07-24T04:00:24.5114560Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/windows_include.h
2025-07-24T04:00:24.5115370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client-windows.h
2025-07-24T04:00:24.5115970Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger.h
2025-07-24T04:00:24.5116540Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/env.h
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2025-07-24T04:00:24.5117870Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/helpers-inl.h
2025-07-24T04:00:24.5118530Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/helpers.h
2025-07-24T04:00:24.5119110Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/tweakme.h
2025-07-24T04:00:24.5119710Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async.h
2025-07-24T04:00:24.5120290Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/common.h
2025-07-24T04:00:24.5121040Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger-inl.h
2025-07-24T04:00:24.5121630Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/stopwatch.h
2025-07-24T04:00:24.5122360Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter.h
2025-07-24T04:00:24.5122920Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger.h
2025-07-24T04:00:24.5123570Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/spdlog-inl.h
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2025-07-24T04:00:24.5124650Z /opt/homebrew/Caskroom/miniconda/base/include/tkUndo.h
2025-07-24T04:00:24.5125330Z /opt/homebrew/Caskroom/miniconda/base/include/curl/stdcheaders.h
2025-07-24T04:00:24.5125940Z /opt/homebrew/Caskroom/miniconda/base/include/curl/header.h
2025-07-24T04:00:24.5126480Z /opt/homebrew/Caskroom/miniconda/base/include/curl/options.h
2025-07-24T04:00:24.5127070Z /opt/homebrew/Caskroom/miniconda/base/include/curl/mprintf.h
2025-07-24T04:00:24.5127620Z /opt/homebrew/Caskroom/miniconda/base/include/curl/easy.h
2025-07-24T04:00:24.5128200Z /opt/homebrew/Caskroom/miniconda/base/include/curl/curl.h
2025-07-24T04:00:24.5128880Z /opt/homebrew/Caskroom/miniconda/base/include/curl/websockets.h
2025-07-24T04:00:24.5129410Z /opt/homebrew/Caskroom/miniconda/base/include/curl/curlver.h
2025-07-24T04:00:24.5130010Z /opt/homebrew/Caskroom/miniconda/base/include/curl/system.h
2025-07-24T04:00:24.5130680Z /opt/homebrew/Caskroom/miniconda/base/include/curl/typecheck-gcc.h
2025-07-24T04:00:24.5131220Z /opt/homebrew/Caskroom/miniconda/base/include/curl/multi.h
2025-07-24T04:00:24.5131780Z /opt/homebrew/Caskroom/miniconda/base/include/curl/urlapi.h
2025-07-24T04:00:24.5132440Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXDefault.h
2025-07-24T04:00:24.5132980Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXWm.h
2025-07-24T04:00:24.5133480Z /opt/homebrew/Caskroom/miniconda/base/include/tkInt.h
2025-07-24T04:00:24.5134110Z /opt/homebrew/Caskroom/miniconda/base/include/tkFileFilter.h
2025-07-24T04:00:24.5134610Z /opt/homebrew/Caskroom/miniconda/base/include/tkMenu.h
2025-07-24T04:00:24.5135120Z /opt/homebrew/Caskroom/miniconda/base/include/tk.h
2025-07-24T04:00:24.5135770Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntDecls.h
2025-07-24T04:00:24.5136930Z /opt/homebrew/Caskroom/miniconda/base/include/odbcStubs.h
2025-07-24T04:00:24.5137210Z /opt/homebrew/Caskroom/miniconda/base/include/iconv.h
2025-07-24T04:00:24.5137530Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/ccselect_plugin.h
2025-07-24T04:00:24.5138190Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/certauth_plugin.h
2025-07-24T04:00:24.5138720Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/plugin.h
2025-07-24T04:00:24.5139430Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/localauth_plugin.h
2025-07-24T04:00:24.5140120Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/clpreauth_plugin.h
2025-07-24T04:00:24.5140960Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/kdcpolicy_plugin.h
2025-07-24T04:00:24.5141440Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/locate_plugin.h
2025-07-24T04:00:24.5142120Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/kadm5_auth_plugin.h
2025-07-24T04:00:24.5142800Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/pwqual_plugin.h
2025-07-24T04:00:24.5143460Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/kadm5_hook_plugin.h
2025-07-24T04:00:24.5144110Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/preauth_plugin.h
2025-07-24T04:00:24.5144770Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/kdcpreauth_plugin.h
2025-07-24T04:00:24.5145450Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/hostrealm_plugin.h
2025-07-24T04:00:24.5145960Z /opt/homebrew/Caskroom/miniconda/base/include/krb5/krb5.h
2025-07-24T04:00:24.5146500Z /opt/homebrew/Caskroom/miniconda/base/include/fakepq.h
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2025-07-24T04:00:24.5147880Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-death-test.h
2025-07-24T04:00:24.5148480Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-spi.h
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2025-07-24T04:00:24.5151590Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-port-arch.h
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2025-07-24T04:00:24.5158980Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-param-test.h
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2025-07-24T04:00:24.5162220Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest.h
2025-07-24T04:00:24.5162920Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-printers.h
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2025-07-24T04:00:24.5202050Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley.hpp
2025-07-24T04:00:24.5202920Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley_undef.hpp
2025-07-24T04:00:24.5203520Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/json_fwd.hpp
2025-07-24T04:00:24.5204130Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/rpc_msg.h
2025-07-24T04:00:24.5204710Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/types.h
2025-07-24T04:00:24.5205360Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/auth_gssapi.h
2025-07-24T04:00:24.5206150Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/pmap_prot.h
2025-07-24T04:00:24.5206530Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/svc.h
2025-07-24T04:00:24.5207160Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/clnt.h
2025-07-24T04:00:24.5207720Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/xdr.h
2025-07-24T04:00:24.5208410Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/rename.h
2025-07-24T04:00:24.5208980Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/auth_gss.h
2025-07-24T04:00:24.5209570Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/netdb.h
2025-07-24T04:00:24.5210200Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/auth_unix.h
2025-07-24T04:00:24.5210760Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/rpc.h
2025-07-24T04:00:24.5211340Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/auth.h
2025-07-24T04:00:24.5211960Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/pmap_clnt.h
2025-07-24T04:00:24.5212560Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/svc_auth.h
2025-07-24T04:00:24.5213270Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/pmap_rmt.h
2025-07-24T04:00:24.5213660Z /opt/homebrew/Caskroom/miniconda/base/include/eti.h
2025-07-24T04:00:24.5214290Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses_dll.h
2025-07-24T04:00:24.5214750Z /opt/homebrew/Caskroom/miniconda/base/include/zlib.h
2025-07-24T04:00:24.5215320Z /opt/homebrew/Caskroom/miniconda/base/include/tkButton.h
2025-07-24T04:00:24.5215910Z /opt/homebrew/Caskroom/miniconda/base/include/tkScrollbar.h
2025-07-24T04:00:24.5216490Z /opt/homebrew/Caskroom/miniconda/base/include/term_entry.h
2025-07-24T04:00:24.5217020Z /opt/homebrew/Caskroom/miniconda/base/include/menu.h
2025-07-24T04:00:24.5217520Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2.h
2025-07-24T04:00:24.5218080Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSX.h
2025-07-24T04:00:24.5218650Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3.h
2025-07-24T04:00:24.5219240Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOIntDecls.h
2025-07-24T04:00:24.5219820Z /opt/homebrew/Caskroom/miniconda/base/include/zstd_errors.h
2025-07-24T04:00:24.5220380Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3ext.h
2025-07-24T04:00:24.5220910Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2.h
2025-07-24T04:00:24.5221520Z /opt/homebrew/Caskroom/miniconda/base/include/X11/DECkeysym.h
2025-07-24T04:00:24.5222070Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xutil.h
2025-07-24T04:00:24.5222690Z /opt/homebrew/Caskroom/miniconda/base/include/X11/ap_keysym.h
2025-07-24T04:00:24.5223230Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xatom.h
2025-07-24T04:00:24.5223800Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xlib.h
2025-07-24T04:00:24.5224410Z /opt/homebrew/Caskroom/miniconda/base/include/X11/cursorfont.h
2025-07-24T04:00:24.5225000Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Sunkeysym.h
2025-07-24T04:00:24.5225610Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xfuncproto.h
2025-07-24T04:00:24.5226200Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysymdef.h
2025-07-24T04:00:24.5226790Z /opt/homebrew/Caskroom/miniconda/base/include/X11/HPkeysym.h
2025-07-24T04:00:24.5227390Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysym.h
2025-07-24T04:00:24.5228000Z /opt/homebrew/Caskroom/miniconda/base/include/X11/XF86keysym.h
2025-07-24T04:00:24.5228490Z /opt/homebrew/Caskroom/miniconda/base/include/X11/X.h
2025-07-24T04:00:24.5229050Z /opt/homebrew/Caskroom/miniconda/base/include/X11/xbytes.h
2025-07-24T04:00:24.5229710Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMathDecls.h
2025-07-24T04:00:24.5230250Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMath.h
2025-07-24T04:00:24.5230950Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_generic.h
2025-07-24T04:00:24.5231550Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/mechglue.h
2025-07-24T04:00:24.5232210Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_krb5.h
2025-07-24T04:00:24.5232880Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_alloc.h
2025-07-24T04:00:24.5233460Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi.h
2025-07-24T04:00:24.5234110Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_ext.h
2025-07-24T04:00:24.5234650Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXInt.h
2025-07-24T04:00:24.5235280Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXCursors.h
2025-07-24T04:00:24.5235920Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXConstants.h
2025-07-24T04:00:24.5236400Z /opt/homebrew/Caskroom/miniconda/base/include/ev.h
2025-07-24T04:00:24.5237010Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXEvent.h
2025-07-24T04:00:24.5237560Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame.h
2025-07-24T04:00:24.5238140Z /opt/homebrew/Caskroom/miniconda/base/include/ares_nameser.h
2025-07-24T04:00:24.5238730Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXPort.h
2025-07-24T04:00:24.5239260Z /opt/homebrew/Caskroom/miniconda/base/include/tkCanvas.h
2025-07-24T04:00:24.5239890Z /opt/homebrew/Caskroom/miniconda/base/include/tkArray.h
2025-07-24T04:00:24.5240330Z /opt/homebrew/Caskroom/miniconda/base/include/zstd.h
2025-07-24T04:00:24.5240920Z /opt/homebrew/Caskroom/miniconda/base/include/fakemysql.h
2025-07-24T04:00:24.5241490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem2.h
2025-07-24T04:00:24.5242070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdf.h
2025-07-24T04:00:24.5242670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem.h
2025-07-24T04:00:24.5243280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asyncerr.h
2025-07-24T04:00:24.5243860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md2.h
2025-07-24T04:00:24.5244450Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl3.h
2025-07-24T04:00:24.5245090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ossl_typ.h
2025-07-24T04:00:24.5245670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dtls1.h
2025-07-24T04:00:24.5246330Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/err.h
2025-07-24T04:00:24.5246930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bn.h
2025-07-24T04:00:24.5247480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/blowfish.h
2025-07-24T04:00:24.5248030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cms.h
2025-07-24T04:00:24.5248640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engine.h
2025-07-24T04:00:24.5249290Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf_api.h
2025-07-24T04:00:24.5249880Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/esserr.h
2025-07-24T04:00:24.5250480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core.h
2025-07-24T04:00:24.5251100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509.h
2025-07-24T04:00:24.5251730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1_mac.h
2025-07-24T04:00:24.5252390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objectserr.h
2025-07-24T04:00:24.5252980Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/params.h
2025-07-24T04:00:24.5253580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmserr.h
2025-07-24T04:00:24.5254170Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/http.h
2025-07-24T04:00:24.5254740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ui.h
2025-07-24T04:00:24.5255320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sha.h
2025-07-24T04:00:24.5255970Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/symhacks.h
2025-07-24T04:00:24.5256580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1.h
2025-07-24T04:00:24.5257180Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bioerr.h
2025-07-24T04:00:24.5257860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslconf.h
2025-07-24T04:00:24.5258400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bio.h
2025-07-24T04:00:24.5259010Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc2.h
2025-07-24T04:00:24.5259640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/types.h
2025-07-24T04:00:24.5260170Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dh.h
2025-07-24T04:00:24.5260910Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr_legacy.h
2025-07-24T04:00:24.5261460Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/proverr.h
2025-07-24T04:00:24.5262070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3.h
2025-07-24T04:00:24.5262750Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_object.h
2025-07-24T04:00:24.5263380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decodererr.h
2025-07-24T04:00:24.5264040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/param_build.h
2025-07-24T04:00:24.5264610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf.h
2025-07-24T04:00:24.5603480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conftypes.h
2025-07-24T04:00:24.5604030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md5.h
2025-07-24T04:00:24.5604580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decoder.h
2025-07-24T04:00:24.5605080Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pemerr.h
2025-07-24T04:00:24.5605580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmferr.h
2025-07-24T04:00:24.5606260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509_vfy.h
2025-07-24T04:00:24.5606820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/txt_db.h
2025-07-24T04:00:24.5607370Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp.h
2025-07-24T04:00:24.5608000Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comperr.h
2025-07-24T04:00:24.5608680Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cterr.h
2025-07-24T04:00:24.5609620Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/self_test.h
2025-07-24T04:00:24.5610000Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/safestack.h
2025-07-24T04:00:24.5610600Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/configuration.h
2025-07-24T04:00:24.5611210Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fips_names.h
2025-07-24T04:00:24.5611960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdsa.h
2025-07-24T04:00:24.5612430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr.h
2025-07-24T04:00:24.5613090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/prov_ssl.h
2025-07-24T04:00:24.5613820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fipskey.h
2025-07-24T04:00:24.5614240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc5.h
2025-07-24T04:00:24.5615040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/uierr.h
2025-07-24T04:00:24.5615510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3err.h
2025-07-24T04:00:24.5616200Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objects.h
2025-07-24T04:00:24.5617060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12.h
2025-07-24T04:00:24.5617440Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crypto.h
2025-07-24T04:00:24.5618030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmf.h
2025-07-24T04:00:24.5618680Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp_util.h
2025-07-24T04:00:24.5619280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslv.h
2025-07-24T04:00:24.5619930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evperr.h
2025-07-24T04:00:24.5620530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7.h
2025-07-24T04:00:24.5621370Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/obj_mac.h
2025-07-24T04:00:24.5621690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ct.h
2025-07-24T04:00:24.5622440Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/async.h
2025-07-24T04:00:24.5622900Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffer.h
2025-07-24T04:00:24.5623520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl.h
2025-07-24T04:00:24.5624070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srp.h
2025-07-24T04:00:24.5624730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/camellia.h
2025-07-24T04:00:24.5625350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/httperr.h
2025-07-24T04:00:24.5625960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dherr.h
2025-07-24T04:00:24.5626730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evp.h
2025-07-24T04:00:24.5627150Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/e_os2.h
2025-07-24T04:00:24.5627750Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/trace.h
2025-07-24T04:00:24.5628330Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md4.h
2025-07-24T04:00:24.5629020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_names.h
2025-07-24T04:00:24.5629570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/hmac.h
2025-07-24T04:00:24.5630220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/provider.h
2025-07-24T04:00:24.5630790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/aes.h
2025-07-24T04:00:24.5631450Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engineerr.h
2025-07-24T04:00:24.5632130Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comp.h
2025-07-24T04:00:24.5632890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/macros.h
2025-07-24T04:00:24.5633350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12err.h
2025-07-24T04:00:24.5634060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encoder.h
2025-07-24T04:00:24.5634530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cast.h
2025-07-24T04:00:24.5635220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr_legacy.h
2025-07-24T04:00:24.5635790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc4.h
2025-07-24T04:00:24.5636380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/stack.h
2025-07-24T04:00:24.5636970Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/des.h
2025-07-24T04:00:24.5637580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsp.h
2025-07-24T04:00:24.5638100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ec.h
2025-07-24T04:00:24.5638690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdh.h
2025-07-24T04:00:24.5639470Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rand.h
2025-07-24T04:00:24.5640320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecerr.h
2025-07-24T04:00:24.5640620Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ts.h
2025-07-24T04:00:24.5641230Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_dispatch.h
2025-07-24T04:00:24.5641850Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr.h
2025-07-24T04:00:24.5642450Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/storeerr.h
2025-07-24T04:00:24.5643110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffererr.h
2025-07-24T04:00:24.5643820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/seed.h
2025-07-24T04:00:24.5644260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/modes.h
2025-07-24T04:00:24.5644850Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl2.h
2025-07-24T04:00:24.5645570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tserr.h
2025-07-24T04:00:24.5646070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsa.h
2025-07-24T04:00:24.5646660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ripemd.h
2025-07-24T04:00:24.5647320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/whrlpool.h
2025-07-24T04:00:24.5648250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encodererr.h
2025-07-24T04:00:24.5648640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmperr.h
2025-07-24T04:00:24.5649160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tls1.h
2025-07-24T04:00:24.5649790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsaerr.h
2025-07-24T04:00:24.5650520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/randerr.h
2025-07-24T04:00:24.5650990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/mdc2.h
2025-07-24T04:00:24.5651730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsperr.h
2025-07-24T04:00:24.5652240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509err.h
2025-07-24T04:00:24.5652870Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7err.h
2025-07-24T04:00:24.5653650Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsa.h
2025-07-24T04:00:24.5654080Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdferr.h
2025-07-24T04:00:24.5654640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srtp.h
2025-07-24T04:00:24.5655380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1t.h
2025-07-24T04:00:24.5655860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsaerr.h
2025-07-24T04:00:24.5656490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bnerr.h
2025-07-24T04:00:24.5657100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conferr.h
2025-07-24T04:00:24.5657680Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmac.h
2025-07-24T04:00:24.5658320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ebcdic.h
2025-07-24T04:00:24.5659020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/store.h
2025-07-24T04:00:24.5659570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/idea.h
2025-07-24T04:00:24.5660110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/lhash.h
2025-07-24T04:00:24.5660690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ess.h
2025-07-24T04:00:24.5661340Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1err.h
2025-07-24T04:00:24.5661960Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2_publickey.h
2025-07-24T04:00:24.5662440Z /opt/homebrew/Caskroom/miniconda/base/include/krb5.h
2025-07-24T04:00:24.5663030Z /opt/homebrew/Caskroom/miniconda/base/include/tclDecls.h
2025-07-24T04:00:24.5663660Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntPlatDecls.h
2025-07-24T04:00:24.5664200Z /opt/homebrew/Caskroom/miniconda/base/include/cursesm.h
2025-07-24T04:00:24.5664780Z /opt/homebrew/Caskroom/miniconda/base/include/tkDecls.h
2025-07-24T04:00:24.5665280Z /opt/homebrew/Caskroom/miniconda/base/include/tkBusy.h
2025-07-24T04:00:24.5665860Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index.h
2025-07-24T04:00:24.5666500Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/version.h
2025-07-24T04:00:24.5667160Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index_hash.h
2025-07-24T04:00:24.5667850Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/lzma12.h
2025-07-24T04:00:24.5668360Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/container.h
2025-07-24T04:00:24.5669040Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/delta.h
2025-07-24T04:00:24.5669540Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/vli.h
2025-07-24T04:00:24.5670200Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/check.h
2025-07-24T04:00:24.5670660Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/bcj.h
2025-07-24T04:00:24.5671340Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/stream_flags.h
2025-07-24T04:00:24.5672120Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/block.h
2025-07-24T04:00:24.5672740Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/hardware.h
2025-07-24T04:00:24.5673270Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/filter.h
2025-07-24T04:00:24.5673810Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/base.h
2025-07-24T04:00:24.5674340Z /opt/homebrew/Caskroom/miniconda/base/include/fakesql.h
2025-07-24T04:00:24.5674950Z /opt/homebrew/Caskroom/miniconda/base/include/itclDecls.h
2025-07-24T04:00:24.5675520Z /opt/homebrew/Caskroom/miniconda/base/include/tclPlatDecls.h
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2025-07-24T04:00:24.6176250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/_punycode.py
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2025-07-24T04:00:24.6239890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/block.py
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2025-07-24T04:00:24.6249800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/ruler.cpython-313.pyc
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2025-07-24T04:00:24.6273140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/html_re.cpython-313.pyc
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2025-07-24T04:00:24.6286020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/entities.py
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2025-07-24T04:00:24.6288440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/py.typed
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2025-07-24T04:00:24.8165220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/setuptools-78.1.1-py313hca03da5_0/lib/python3.13/site-packages/setuptools/_vendor/more_itertools-10.3.0.dist-info/METADATA
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2025-07-24T04:00:24.9883170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qvt.py
2025-07-24T04:00:24.9884700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tablegen.py
2025-07-24T04:00:24.9886300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/inferno.py
2025-07-24T04:00:24.9888000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tlb.py
2025-07-24T04:00:24.9889570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nix.py
2025-07-24T04:00:24.9891220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wren.py
2025-07-24T04:00:24.9892940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parasail.py
2025-07-24T04:00:24.9894510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smithy.py
2025-07-24T04:00:24.9896240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_css_builtins.py
2025-07-24T04:00:24.9898140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphviz.py
2025-07-24T04:00:24.9899660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/r.py
2025-07-24T04:00:24.9901340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pawn.py
2025-07-24T04:00:24.9903000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dns.py
2025-07-24T04:00:24.9904680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/maple.py
2025-07-24T04:00:24.9906280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/idl.py
2025-07-24T04:00:24.9907860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/iolang.py
2025-07-24T04:00:24.9909410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/amdgpu.py
2025-07-24T04:00:24.9911010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dsls.py
2025-07-24T04:00:24.9912740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/supercollider.py
2025-07-24T04:00:24.9914330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/comal.py
2025-07-24T04:00:24.9915910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/solidity.py
2025-07-24T04:00:24.9917560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scilab_builtins.py
2025-07-24T04:00:24.9919350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lilypond_builtins.py
2025-07-24T04:00:24.9920840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hare.py
2025-07-24T04:00:24.9922370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lisp.py
2025-07-24T04:00:24.9923960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/j.py
2025-07-24T04:00:24.9925650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/blueprint.py
2025-07-24T04:00:24.9927270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mosel.py
2025-07-24T04:00:24.9929000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_googlesql_builtins.py
2025-07-24T04:00:24.9931100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vbscript_builtins.py
2025-07-24T04:00:24.9932820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_openedge_builtins.py
2025-07-24T04:00:24.9934280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smalltalk.py
2025-07-24T04:00:24.9935990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/spice.py
2025-07-24T04:00:24.9937430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/monte.py
2025-07-24T04:00:24.9939240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_luau_builtins.py
2025-07-24T04:00:24.9940880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webmisc.py
2025-07-24T04:00:24.9942410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teal.py
2025-07-24T04:00:24.9944120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/c_cpp.py
2025-07-24T04:00:24.9945660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/perl.py
2025-07-24T04:00:24.9947330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/robotframework.py
2025-07-24T04:00:24.9949060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textfmts.py
2025-07-24T04:00:24.9950570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsonnet.py
2025-07-24T04:00:24.9952270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cplint.py
2025-07-24T04:00:24.9953980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsx.py
2025-07-24T04:00:24.9955670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prolog.py
2025-07-24T04:00:24.9957440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rnc.py
2025-07-24T04:00:24.9959030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wowtoc.py
2025-07-24T04:00:24.9960800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_julia_builtins.py
2025-07-24T04:00:24.9962450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/algebra.py
2025-07-24T04:00:24.9964220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typoscript.py
2025-07-24T04:00:24.9965840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/automation.py
2025-07-24T04:00:24.9967580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sieve.py
2025-07-24T04:00:24.9969200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/esoteric.py
2025-07-24T04:00:24.9970680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graph.py
2025-07-24T04:00:24.9972310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/html.py
2025-07-24T04:00:24.9974010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_php_builtins.py
2025-07-24T04:00:24.9975580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/shell.py
2025-07-24T04:00:24.9977280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scripting.py
2025-07-24T04:00:24.9978990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gsql.py
2025-07-24T04:00:24.9980600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gdscript.py
2025-07-24T04:00:24.9982290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ambient.py
2025-07-24T04:00:24.9983980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arrow.py
2025-07-24T04:00:24.9985630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/oberon.py
2025-07-24T04:00:24.9987440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stata_builtins.py
2025-07-24T04:00:24.9989240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/floscript.py
2025-07-24T04:00:24.9990970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/resource.py
2025-07-24T04:00:24.9992510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__init__.py
2025-07-24T04:00:24.9993930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/d.py
2025-07-24T04:00:24.9995560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ruby.py
2025-07-24T04:00:24.9997190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/other.py
2025-07-24T04:00:24.9998840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pony.py
2025-07-24T04:00:25.0000420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/matlab.py
2025-07-24T04:00:25.0001980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/felix.py
2025-07-24T04:00:25.0003620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tnt.py
2025-07-24T04:00:25.0005360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vim_builtins.py
2025-07-24T04:00:25.0006930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/freefem.py
2025-07-24T04:00:25.0008680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/thingsdb.py
2025-07-24T04:00:25.0010340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teraterm.py
2025-07-24T04:00:25.0011820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parsers.py
2025-07-24T04:00:25.0013520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jmespath.py
2025-07-24T04:00:25.0015020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/carbon.py
2025-07-24T04:00:25.0016760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/theorem.py
2025-07-24T04:00:25.0018300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/compiled.py
2025-07-24T04:00:25.0019960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/int_fiction.py
2025-07-24T04:00:25.0021620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cocoa_builtins.py
2025-07-24T04:00:25.0023600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/maxima.cpython-313.pyc
2025-07-24T04:00:25.0025470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hexdump.cpython-313.pyc
2025-07-24T04:00:25.0027510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/teal.cpython-313.pyc
2025-07-24T04:00:25.0029370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/elpi.cpython-313.pyc
2025-07-24T04:00:25.0031320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/templates.cpython-313.pyc
2025-07-24T04:00:25.0033440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nimrod.cpython-313.pyc
2025-07-24T04:00:25.0035570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_usd_builtins.cpython-313.pyc
2025-07-24T04:00:25.0037470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ruby.cpython-313.pyc
2025-07-24T04:00:25.0039360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/html.cpython-313.pyc
2025-07-24T04:00:25.0041430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/prolog.cpython-313.pyc
2025-07-24T04:00:25.0043340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/factor.cpython-313.pyc
2025-07-24T04:00:25.0045190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hdl.cpython-313.pyc
2025-07-24T04:00:25.0047160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pointless.cpython-313.pyc
2025-07-24T04:00:25.0049010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rita.cpython-313.pyc
2025-07-24T04:00:25.0050880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_cocoa_builtins.cpython-313.pyc
2025-07-24T04:00:25.0052750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pascal.cpython-313.pyc
2025-07-24T04:00:25.0054910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/trafficscript.cpython-313.pyc
2025-07-24T04:00:25.0057050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/verification.cpython-313.pyc
2025-07-24T04:00:25.0058860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sophia.cpython-313.pyc
2025-07-24T04:00:25.0060290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/x10.cpython-313.pyc
2025-07-24T04:00:25.0061820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/thingsdb.cpython-313.pyc
2025-07-24T04:00:25.0063280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/freefem.cpython-313.pyc
2025-07-24T04:00:25.0064730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/yara.cpython-313.pyc
2025-07-24T04:00:25.0066170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/forth.cpython-313.pyc
2025-07-24T04:00:25.0067660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/foxpro.cpython-313.pyc
2025-07-24T04:00:25.0069110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dsls.cpython-313.pyc
2025-07-24T04:00:25.0070550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mojo.cpython-313.pyc
2025-07-24T04:00:25.0072000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pony.cpython-313.pyc
2025-07-24T04:00:25.0073510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/verifpal.cpython-313.pyc
2025-07-24T04:00:25.0075230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nit.cpython-313.pyc
2025-07-24T04:00:25.0077210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jslt.cpython-313.pyc
2025-07-24T04:00:25.0079130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/web.cpython-313.pyc
2025-07-24T04:00:25.0081040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/email.cpython-313.pyc
2025-07-24T04:00:25.0082970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/make.cpython-313.pyc
2025-07-24T04:00:25.0084930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webidl.cpython-313.pyc
2025-07-24T04:00:25.0086860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/typst.cpython-313.pyc
2025-07-24T04:00:25.0088890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/json5.cpython-313.pyc
2025-07-24T04:00:25.0090800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/xorg.cpython-313.pyc
2025-07-24T04:00:25.0092660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/maple.cpython-313.pyc
2025-07-24T04:00:25.0094560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bqn.cpython-313.pyc
2025-07-24T04:00:25.0096390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lean.cpython-313.pyc
2025-07-24T04:00:25.0098410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/blueprint.cpython-313.pyc
2025-07-24T04:00:25.0100240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/shell.cpython-313.pyc
2025-07-24T04:00:25.0102370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_stan_builtins.cpython-313.pyc
2025-07-24T04:00:25.0104170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ptx.cpython-313.pyc
2025-07-24T04:00:25.0106090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ecl.cpython-313.pyc
2025-07-24T04:00:25.0108000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/installers.cpython-313.pyc
2025-07-24T04:00:25.0110110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/functional.cpython-313.pyc
2025-07-24T04:00:25.0111970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/procfile.cpython-313.pyc
2025-07-24T04:00:25.0113990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/qvt.cpython-313.pyc
2025-07-24T04:00:25.0115790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sgf.cpython-313.pyc
2025-07-24T04:00:25.0117730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dalvik.cpython-313.pyc
2025-07-24T04:00:25.0119530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/idl.cpython-313.pyc
2025-07-24T04:00:25.0121410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ada.cpython-313.pyc
2025-07-24T04:00:25.0123220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/data.cpython-313.pyc
2025-07-24T04:00:25.0125460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tal.cpython-313.pyc
2025-07-24T04:00:25.0127270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wren.cpython-313.pyc
2025-07-24T04:00:25.0129060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/asc.cpython-313.pyc
2025-07-24T04:00:25.0131260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apdlexer.cpython-313.pyc
2025-07-24T04:00:25.0133170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/csound.cpython-313.pyc
2025-07-24T04:00:25.0135110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/urbi.cpython-313.pyc
2025-07-24T04:00:25.0136990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/slash.cpython-313.pyc
2025-07-24T04:00:25.0138950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/arturo.cpython-313.pyc
2025-07-24T04:00:25.0140840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/numbair.cpython-313.pyc
2025-07-24T04:00:25.0142760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/int_fiction.cpython-313.pyc
2025-07-24T04:00:25.0144640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/asn1.cpython-313.pyc
2025-07-24T04:00:25.0146470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/inferno.cpython-313.pyc
2025-07-24T04:00:25.0148400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/openscad.cpython-313.pyc
2025-07-24T04:00:25.0150240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lilypond.cpython-313.pyc
2025-07-24T04:00:25.0152160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_vim_builtins.cpython-313.pyc
2025-07-24T04:00:25.0153980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/soong.cpython-313.pyc
2025-07-24T04:00:25.0155820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/igor.cpython-313.pyc
2025-07-24T04:00:25.0157650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/basic.cpython-313.pyc
2025-07-24T04:00:25.0159580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/esoteric.cpython-313.pyc
2025-07-24T04:00:25.0161480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/qlik.cpython-313.pyc
2025-07-24T04:00:25.0163270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/r.cpython-313.pyc
2025-07-24T04:00:25.0165200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lasso_builtins.cpython-313.pyc
2025-07-24T04:00:25.0167090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/agile.cpython-313.pyc
2025-07-24T04:00:25.0168920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gsql.cpython-313.pyc
2025-07-24T04:00:25.0170910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graphics.cpython-313.pyc
2025-07-24T04:00:25.0172940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/srcinfo.cpython-313.pyc
2025-07-24T04:00:25.0174960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/stata.cpython-313.pyc
2025-07-24T04:00:25.0176920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_ada_builtins.cpython-313.pyc
2025-07-24T04:00:25.0178700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mips.cpython-313.pyc
2025-07-24T04:00:25.0180680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/perl.cpython-313.pyc
2025-07-24T04:00:25.0182670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsonnet.cpython-313.pyc
2025-07-24T04:00:25.0184850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lilypond_builtins.cpython-313.pyc
2025-07-24T04:00:25.0186630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/asm.cpython-313.pyc
2025-07-24T04:00:25.0188330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/whiley.cpython-313.pyc
2025-07-24T04:00:25.0190130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ul4.cpython-313.pyc
2025-07-24T04:00:25.0192160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bibtex.cpython-313.pyc
2025-07-24T04:00:25.0194140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/compiled.cpython-313.pyc
2025-07-24T04:00:25.0196180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/floscript.cpython-313.pyc
2025-07-24T04:00:25.0197910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/cddl.cpython-313.pyc
2025-07-24T04:00:25.0199990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/macaulay2.cpython-313.pyc
2025-07-24T04:00:25.0201850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/special.cpython-313.pyc
2025-07-24T04:00:25.0203900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_luau_builtins.cpython-313.pyc
2025-07-24T04:00:25.0205820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ooc.cpython-313.pyc
2025-07-24T04:00:25.0208200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/capnproto.cpython-313.pyc
2025-07-24T04:00:25.0209930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dns.cpython-313.pyc
2025-07-24T04:00:25.0211650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/c_cpp.cpython-313.pyc
2025-07-24T04:00:25.0213690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_qlik_builtins.cpython-313.pyc
2025-07-24T04:00:25.0215600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/modeling.cpython-313.pyc
2025-07-24T04:00:25.0217390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/boa.cpython-313.pyc
2025-07-24T04:00:25.0219550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/iolang.cpython-313.pyc
2025-07-24T04:00:25.0226710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sql.cpython-313.pyc
2025-07-24T04:00:25.0227130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/testing.cpython-313.pyc
2025-07-24T04:00:25.0227510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/prql.cpython-313.pyc
2025-07-24T04:00:25.0227890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/haskell.cpython-313.pyc
2025-07-24T04:00:25.0229170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tls.cpython-313.pyc
2025-07-24T04:00:25.0231300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_julia_builtins.cpython-313.pyc
2025-07-24T04:00:25.0233240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/resource.cpython-313.pyc
2025-07-24T04:00:25.0235220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mime.cpython-313.pyc
2025-07-24T04:00:25.0237350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_postgres_builtins.cpython-313.pyc
2025-07-24T04:00:25.0239260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/praat.cpython-313.pyc
2025-07-24T04:00:25.0241100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kusto.cpython-313.pyc
2025-07-24T04:00:25.0242900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/go.cpython-313.pyc
2025-07-24T04:00:25.0244890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tablegen.cpython-313.pyc
2025-07-24T04:00:25.0246870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/text.cpython-313.pyc
2025-07-24T04:00:25.0248820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gcodelexer.cpython-313.pyc
2025-07-24T04:00:25.0250810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graph.cpython-313.pyc
2025-07-24T04:00:25.0252650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/elm.cpython-313.pyc
2025-07-24T04:00:25.0254640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/chapel.cpython-313.pyc
2025-07-24T04:00:25.0256740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/arrow.cpython-313.pyc
2025-07-24T04:00:25.0258470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graphviz.cpython-313.pyc
2025-07-24T04:00:25.0259990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lua_builtins.cpython-313.pyc
2025-07-24T04:00:25.0261400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bare.cpython-313.pyc
2025-07-24T04:00:25.0262890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ampl.cpython-313.pyc
2025-07-24T04:00:25.0264490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_cl_builtins.cpython-313.pyc
2025-07-24T04:00:25.0265860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tact.cpython-313.pyc
2025-07-24T04:00:25.0267420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/minecraft.cpython-313.pyc
2025-07-24T04:00:25.0268820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rnc.cpython-313.pyc
2025-07-24T04:00:25.0270460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/scripting.cpython-313.pyc
2025-07-24T04:00:25.0271920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mysql_builtins.cpython-313.pyc
2025-07-24T04:00:25.0273350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/diff.cpython-313.pyc
2025-07-24T04:00:25.0274810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/futhark.cpython-313.pyc
2025-07-24T04:00:25.0276310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gleam.cpython-313.pyc
2025-07-24T04:00:25.0277830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/teraterm.cpython-313.pyc
2025-07-24T04:00:25.0279290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rego.cpython-313.pyc
2025-07-24T04:00:25.0280870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_scilab_builtins.cpython-313.pyc
2025-07-24T04:00:25.0282350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/spice.cpython-313.pyc
2025-07-24T04:00:25.0283740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sas.cpython-313.pyc
2025-07-24T04:00:25.0285310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/solidity.cpython-313.pyc
2025-07-24T04:00:25.0286770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fortran.cpython-313.pyc
2025-07-24T04:00:25.0288250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/meson.cpython-313.pyc
2025-07-24T04:00:25.0289740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/berry.cpython-313.pyc
2025-07-24T04:00:25.0291170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/css.cpython-313.pyc
2025-07-24T04:00:25.0292650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/modula2.cpython-313.pyc
2025-07-24T04:00:25.0294200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/parsers.cpython-313.pyc
2025-07-24T04:00:25.0295680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textedit.cpython-313.pyc
2025-07-24T04:00:25.0297110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smv.cpython-313.pyc
2025-07-24T04:00:25.0298600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mosel.cpython-313.pyc
2025-07-24T04:00:25.0300060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/savi.cpython-313.pyc
2025-07-24T04:00:25.0301600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/robotframework.cpython-313.pyc
2025-07-24T04:00:25.0303110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jvm.cpython-313.pyc
2025-07-24T04:00:25.0304590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/supercollider.cpython-313.pyc
2025-07-24T04:00:25.0306120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/objective.cpython-313.pyc
2025-07-24T04:00:25.0307500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ncl.cpython-313.pyc
2025-07-24T04:00:25.0309050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/automation.cpython-313.pyc
2025-07-24T04:00:25.0310460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/yang.cpython-313.pyc
2025-07-24T04:00:25.0311960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/usd.cpython-313.pyc
2025-07-24T04:00:25.0313440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ambient.cpython-313.pyc
2025-07-24T04:00:25.0314870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/c_like.cpython-313.pyc
2025-07-24T04:00:25.0316390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fift.cpython-313.pyc
2025-07-24T04:00:25.0317840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/algebra.cpython-313.pyc
2025-07-24T04:00:25.0319260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ml.cpython-313.pyc
2025-07-24T04:00:25.0320690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/j.cpython-313.pyc
2025-07-24T04:00:25.0322280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_csound_builtins.cpython-313.pyc
2025-07-24T04:00:25.0323720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rust.cpython-313.pyc
2025-07-24T04:00:25.0325140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nix.cpython-313.pyc
2025-07-24T04:00:25.0326640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/amdgpu.cpython-313.pyc
2025-07-24T04:00:25.0328270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_sourcemod_builtins.cpython-313.pyc
2025-07-24T04:00:25.0329700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graphql.cpython-313.pyc
2025-07-24T04:00:25.0331200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/cplint.cpython-313.pyc
2025-07-24T04:00:25.0332610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ride.cpython-313.pyc
2025-07-24T04:00:25.0334100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rebol.cpython-313.pyc
2025-07-24T04:00:25.0335660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/matlab.cpython-313.pyc
2025-07-24T04:00:25.0337080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/codeql.cpython-313.pyc
2025-07-24T04:00:25.0338600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webassembly.cpython-313.pyc
2025-07-24T04:00:25.0340030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tcl.cpython-313.pyc
2025-07-24T04:00:25.0341470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/snobol.cpython-313.pyc
2025-07-24T04:00:25.0342990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gdscript.cpython-313.pyc
2025-07-24T04:00:25.0344790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/varnish.cpython-313.pyc
2025-07-24T04:00:25.0345930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/oberon.cpython-313.pyc
2025-07-24T04:00:25.0347410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/haxe.cpython-313.pyc
2025-07-24T04:00:25.0348820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ldap.cpython-313.pyc
2025-07-24T04:00:25.0350280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bdd.cpython-313.pyc
2025-07-24T04:00:25.0351750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/markup.cpython-313.pyc
2025-07-24T04:00:25.0353280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/archetype.cpython-313.pyc
2025-07-24T04:00:25.0354720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/julia.cpython-313.pyc
2025-07-24T04:00:25.0356190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/scdoc.cpython-313.pyc
2025-07-24T04:00:25.0357660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/unicon.cpython-313.pyc
2025-07-24T04:00:25.0359130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vyper.cpython-313.pyc
2025-07-24T04:00:25.0360610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/erlang.cpython-313.pyc
2025-07-24T04:00:25.0362040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tnt.cpython-313.pyc
2025-07-24T04:00:25.0363460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/php.cpython-313.pyc
2025-07-24T04:00:25.0364970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pawn.cpython-313.pyc
2025-07-24T04:00:25.0366490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/devicetree.cpython-313.pyc
2025-07-24T04:00:25.0368070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/javascript.cpython-313.pyc
2025-07-24T04:00:25.0369440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/phix.cpython-313.pyc
2025-07-24T04:00:25.0371000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/actionscript.cpython-313.pyc
2025-07-24T04:00:25.0372470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mapping.cpython-313.pyc
2025-07-24T04:00:25.0374040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webmisc.cpython-313.pyc
2025-07-24T04:00:25.0375580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_php_builtins.cpython-313.pyc
2025-07-24T04:00:25.0377080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/typoscript.cpython-313.pyc
2025-07-24T04:00:25.0378550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/python.cpython-313.pyc
2025-07-24T04:00:25.0380120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_tsql_builtins.cpython-313.pyc
2025-07-24T04:00:25.0381550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/eiffel.cpython-313.pyc
2025-07-24T04:00:25.0383080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jmespath.cpython-313.pyc
2025-07-24T04:00:25.0384540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/business.cpython-313.pyc
2025-07-24T04:00:25.0386140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_openedge_builtins.cpython-313.pyc
2025-07-24T04:00:25.0387530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/math.cpython-313.pyc
2025-07-24T04:00:25.0389030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/monte.cpython-313.pyc
2025-07-24T04:00:25.0390660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_vbscript_builtins.cpython-313.pyc
2025-07-24T04:00:25.0392060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/func.cpython-313.pyc
2025-07-24T04:00:25.0393540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/zig.cpython-313.pyc
2025-07-24T04:00:25.0395060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wgsl.cpython-313.pyc
2025-07-24T04:00:25.0396570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/theorem.cpython-313.pyc
2025-07-24T04:00:25.0397980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rdf.cpython-313.pyc
2025-07-24T04:00:25.0399460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lisp.cpython-313.pyc
2025-07-24T04:00:25.0401520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_stata_builtins.cpython-313.pyc
2025-07-24T04:00:25.0402500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/comal.cpython-313.pyc
2025-07-24T04:00:25.0403940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/d.cpython-313.pyc
2025-07-24T04:00:25.0405420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/crystal.cpython-313.pyc
2025-07-24T04:00:25.0407020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_css_builtins.cpython-313.pyc
2025-07-24T04:00:25.0408540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/roboconf.cpython-313.pyc
2025-07-24T04:00:25.0410120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_asy_builtins.cpython-313.pyc
2025-07-24T04:00:25.0411780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mql_builtins.cpython-313.pyc
2025-07-24T04:00:25.0413240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ezhil.cpython-313.pyc
2025-07-24T04:00:25.0414740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/carbon.cpython-313.pyc
2025-07-24T04:00:25.0416170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/felix.cpython-313.pyc
2025-07-24T04:00:25.0417710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/configs.cpython-313.pyc
2025-07-24T04:00:25.0419150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/other.cpython-313.pyc
2025-07-24T04:00:25.0420660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fantom.cpython-313.pyc
2025-07-24T04:00:25.0422210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/parasail.cpython-313.pyc
2025-07-24T04:00:25.0423700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:25.0425140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dylan.cpython-313.pyc
2025-07-24T04:00:25.0426780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_scheme_builtins.cpython-313.pyc
2025-07-24T04:00:25.0428210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sieve.cpython-313.pyc
2025-07-24T04:00:25.0429860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/grammar_notation.cpython-313.pyc
2025-07-24T04:00:25.0431310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wowtoc.cpython-313.pyc
2025-07-24T04:00:25.0432770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/q.cpython-313.pyc
2025-07-24T04:00:25.0434220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kuin.cpython-313.pyc
2025-07-24T04:00:25.0435660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hare.cpython-313.pyc
2025-07-24T04:00:25.0437080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dax.cpython-313.pyc
2025-07-24T04:00:25.0438720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_googlesql_builtins.cpython-313.pyc
2025-07-24T04:00:25.0440110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pddl.cpython-313.pyc
2025-07-24T04:00:25.0441760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsx.cpython-313.pyc
2025-07-24T04:00:25.0443280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textfmts.cpython-313.pyc
2025-07-24T04:00:25.0444650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vip.cpython-313.pyc
2025-07-24T04:00:25.0446150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/console.cpython-313.pyc
2025-07-24T04:00:25.0447540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apl.cpython-313.pyc
2025-07-24T04:00:25.0449060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smithy.cpython-313.pyc
2025-07-24T04:00:25.0450510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/clean.cpython-313.pyc
2025-07-24T04:00:25.0451950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tlb.cpython-313.pyc
2025-07-24T04:00:25.0453430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smalltalk.cpython-313.pyc
2025-07-24T04:00:25.0454960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/promql.cpython-313.pyc
2025-07-24T04:00:25.0456390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dotnet.cpython-313.pyc
2025-07-24T04:00:25.0457560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ncl.py
2025-07-24T04:00:25.0458770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vyper.py
2025-07-24T04:00:25.0460030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lilypond.py
2025-07-24T04:00:25.0461230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/markup.py
2025-07-24T04:00:25.0462460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pddl.py
2025-07-24T04:00:25.0463780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_asy_builtins.py
2025-07-24T04:00:25.0464970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/igor.py
2025-07-24T04:00:25.0466490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ml.py
2025-07-24T04:00:25.0467500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/savi.py
2025-07-24T04:00:25.0468630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bqn.py
2025-07-24T04:00:25.0469840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tal.py
2025-07-24T04:00:25.0471040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tls.py
2025-07-24T04:00:25.0472330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/templates.py
2025-07-24T04:00:25.0473690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/forth.py
2025-07-24T04:00:25.0474790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/css.py
2025-07-24T04:00:25.0476050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asm.py
2025-07-24T04:00:25.0477330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/roboconf.py
2025-07-24T04:00:25.0478720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lasso_builtins.py
2025-07-24T04:00:25.0479920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pascal.py
2025-07-24T04:00:25.0481460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/csound.py
2025-07-24T04:00:25.0482420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typst.py
2025-07-24T04:00:25.0483660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ptx.py
2025-07-24T04:00:25.0484870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sgf.py
2025-07-24T04:00:25.0486120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kusto.py
2025-07-24T04:00:25.0487470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webassembly.py
2025-07-24T04:00:25.0488940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/procfile.py
2025-07-24T04:00:25.0490030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/functional.py
2025-07-24T04:00:25.0491240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/codeql.py
2025-07-24T04:00:25.0492520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textedit.py
2025-07-24T04:00:25.0493840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/installers.py
2025-07-24T04:00:25.0495380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/business.py
2025-07-24T04:00:25.0496820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tcl.py
2025-07-24T04:00:25.0498580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/minecraft.py
2025-07-24T04:00:25.0500130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vip.py
2025-07-24T04:00:25.0501660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mips.py
2025-07-24T04:00:25.0503150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/meson.py
2025-07-24T04:00:25.0504810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/basic.py
2025-07-24T04:00:25.0506600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stan_builtins.py
2025-07-24T04:00:25.0508210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prql.py
2025-07-24T04:00:25.0509790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/eiffel.py
2025-07-24T04:00:25.0511490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scdoc.py
2025-07-24T04:00:25.0513040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dax.py
2025-07-24T04:00:25.0514560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rdf.py
2025-07-24T04:00:25.0516070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gleam.py
2025-07-24T04:00:25.0517660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/email.py
2025-07-24T04:00:25.0519530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sophia.py
2025-07-24T04:00:25.0521140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modula2.py
2025-07-24T04:00:25.0522810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nit.py
2025-07-24T04:00:25.0524420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/actionscript.py
2025-07-24T04:00:25.0526090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qlik.py
2025-07-24T04:00:25.0527710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/text.py
2025-07-24T04:00:25.0529330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/apl.py
2025-07-24T04:00:25.0530930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cl_builtins.py
2025-07-24T04:00:25.0532790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mql_builtins.py
2025-07-24T04:00:25.0534400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/srcinfo.py
2025-07-24T04:00:25.0535990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rego.py
2025-07-24T04:00:25.0537630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/archetype.py
2025-07-24T04:00:25.0539270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/python.py
2025-07-24T04:00:25.0541040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_csound_builtins.py
2025-07-24T04:00:25.0542700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/factor.py
2025-07-24T04:00:25.0544190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dalvik.py
2025-07-24T04:00:25.0545690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/go.py
2025-07-24T04:00:25.0547390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/berry.py
2025-07-24T04:00:25.0549040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/unicon.py
2025-07-24T04:00:25.0550690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_usd_builtins.py
2025-07-24T04:00:25.0552220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cddl.py
2025-07-24T04:00:25.0553950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dylan.py
2025-07-24T04:00:25.0555410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/make.py
2025-07-24T04:00:25.0556930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/diff.py
2025-07-24T04:00:25.0558430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/xorg.py
2025-07-24T04:00:25.0560080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/trafficscript.py
2025-07-24T04:00:25.0561620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kuin.py
2025-07-24T04:00:25.0563210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jvm.py
2025-07-24T04:00:25.0564890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smv.py
2025-07-24T04:00:25.0566450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/math.py
2025-07-24T04:00:25.0568170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tact.py
2025-07-24T04:00:25.0569830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/promql.py
2025-07-24T04:00:25.0571350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/php.py
2025-07-24T04:00:25.0572870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sql.py
2025-07-24T04:00:25.0574390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/x10.py
2025-07-24T04:00:25.0576140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/json5.py
2025-07-24T04:00:25.0577710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mapping.py
2025-07-24T04:00:25.0579490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gcodelexer.py
2025-07-24T04:00:25.0581010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/praat.py
2025-07-24T04:00:25.0582520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lean.py
2025-07-24T04:00:25.0584290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bibtex.py
2025-07-24T04:00:25.0586030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/whiley.py
2025-07-24T04:00:25.0587520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/q.py
2025-07-24T04:00:25.0589140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/snobol.py
2025-07-24T04:00:25.0590930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mysql_builtins.py
2025-07-24T04:00:25.0592440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webidl.py
2025-07-24T04:00:25.0593880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rita.py
2025-07-24T04:00:25.0595110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haskell.py
2025-07-24T04:00:25.0596380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/testing.py
2025-07-24T04:00:25.0597600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fortran.py
2025-07-24T04:00:25.0598880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modeling.py
2025-07-24T04:00:25.0600120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arturo.py
2025-07-24T04:00:25.0601390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/varnish.py
2025-07-24T04:00:25.0602620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/elm.py
2025-07-24T04:00:25.0603810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asc.py
2025-07-24T04:00:25.0605120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/javascript.py
2025-07-24T04:00:25.0606300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ooc.py
2025-07-24T04:00:25.0607500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bdd.py
2025-07-24T04:00:25.0608720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/julia.py
2025-07-24T04:00:25.0609990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hexdump.py
2025-07-24T04:00:25.0611220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/foxpro.py
2025-07-24T04:00:25.0612800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/stata.py
2025-07-24T04:00:25.0613740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/zig.py
2025-07-24T04:00:25.0615110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/grammar_notation.py
2025-07-24T04:00:25.0616340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bare.py
2025-07-24T04:00:25.0617650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/openscad.py
2025-07-24T04:00:25.0618910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dotnet.py
2025-07-24T04:00:25.0620110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fantom.py
2025-07-24T04:00:25.0621330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/special.py
2025-07-24T04:00:25.0622560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yang.py
2025-07-24T04:00:25.0623780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fift.py
2025-07-24T04:00:25.0625020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ezhil.py
2025-07-24T04:00:25.0626240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ride.py
2025-07-24T04:00:25.0627670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scheme_builtins.py
2025-07-24T04:00:25.0628930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/devicetree.py
2025-07-24T04:00:25.0630160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/macaulay2.py
2025-07-24T04:00:25.0631390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/urbi.py
2025-07-24T04:00:25.0632620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haxe.py
2025-07-24T04:00:25.0633830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/func.py
2025-07-24T04:00:25.0635080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/data.py
2025-07-24T04:00:25.0636410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_ada_builtins.py
2025-07-24T04:00:25.0637590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yara.py
2025-07-24T04:00:25.0638890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pointless.py
2025-07-24T04:00:25.0640100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asn1.py
2025-07-24T04:00:25.0641460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_tsql_builtins.py
2025-07-24T04:00:25.0642660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wgsl.py
2025-07-24T04:00:25.0643950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rust.py
2025-07-24T04:00:25.0645070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/token.py
2025-07-24T04:00:25.0646250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/style.py
2025-07-24T04:00:25.0647390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/util.py
2025-07-24T04:00:25.0648620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/sphinxext.py
2025-07-24T04:00:25.0649820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/cmdline.py
2025-07-24T04:00:25.0651090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__init__.py
2025-07-24T04:00:25.0652430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal.py
2025-07-24T04:00:25.0653670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/html.py
2025-07-24T04:00:25.0654900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/irc.py
2025-07-24T04:00:25.0656270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__init__.py
2025-07-24T04:00:25.0657520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/other.py
2025-07-24T04:00:25.0659120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/html.cpython-313.pyc
2025-07-24T04:00:25.0660670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/pangomarkup.cpython-313.pyc
2025-07-24T04:00:25.0662140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/img.cpython-313.pyc
2025-07-24T04:00:25.0664090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/groff.cpython-313.pyc
2025-07-24T04:00:25.0665130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/svg.cpython-313.pyc
2025-07-24T04:00:25.0666660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/latex.cpython-313.pyc
2025-07-24T04:00:25.0668140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/bbcode.cpython-313.pyc
2025-07-24T04:00:25.0669720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal256.cpython-313.pyc
2025-07-24T04:00:25.0671170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/irc.cpython-313.pyc
2025-07-24T04:00:25.0672720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal.cpython-313.pyc
2025-07-24T04:00:25.0674210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/_mapping.cpython-313.pyc
2025-07-24T04:00:25.0675700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/rtf.cpython-313.pyc
2025-07-24T04:00:25.0677180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/other.cpython-313.pyc
2025-07-24T04:00:25.0678750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:25.0679890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/img.py
2025-07-24T04:00:25.0681270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal256.py
2025-07-24T04:00:25.0682500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/rtf.py
2025-07-24T04:00:25.0683880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/svg.py
2025-07-24T04:00:25.0685060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/bbcode.py
2025-07-24T04:00:25.0686430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/pangomarkup.py
2025-07-24T04:00:25.0687680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/_mapping.py
2025-07-24T04:00:25.0689110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/groff.py
2025-07-24T04:00:25.0690260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/latex.py
2025-07-24T04:00:25.0691810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/formatter.cpython-313.pyc
2025-07-24T04:00:25.0693230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/regexopt.cpython-313.pyc
2025-07-24T04:00:25.0694650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/scanner.cpython-313.pyc
2025-07-24T04:00:25.0696060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/lexer.cpython-313.pyc
2025-07-24T04:00:25.0697480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/plugin.cpython-313.pyc
2025-07-24T04:00:25.0698910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/style.cpython-313.pyc
2025-07-24T04:00:25.0700300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/token.cpython-313.pyc
2025-07-24T04:00:25.0701760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/unistring.cpython-313.pyc
2025-07-24T04:00:25.0703460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/modeline.cpython-313.pyc
2025-07-24T04:00:25.0704590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/util.cpython-313.pyc
2025-07-24T04:00:25.0706040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/cmdline.cpython-313.pyc
2025-07-24T04:00:25.0707450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/sphinxext.cpython-313.pyc
2025-07-24T04:00:25.0708920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/filter.cpython-313.pyc
2025-07-24T04:00:25.0710380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__main__.cpython-313.pyc
2025-07-24T04:00:25.0711850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:25.0713290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-07-24T04:00:25.0714460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/sas.py
2025-07-24T04:00:25.0715790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/material.py
2025-07-24T04:00:25.0717150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-07-24T04:00:25.0718330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-07-24T04:00:25.0719690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-07-24T04:00:25.0720860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-07-24T04:00:25.0722090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-07-24T04:00:25.0723340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-07-24T04:00:25.0724610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-07-24T04:00:25.0725810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/tango.py
2025-07-24T04:00:25.0727110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-07-24T04:00:25.0728390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-07-24T04:00:25.0729740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-07-24T04:00:25.0730980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-07-24T04:00:25.0732250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-07-24T04:00:25.0733550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-07-24T04:00:25.0734780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-07-24T04:00:25.0736000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/native.py
2025-07-24T04:00:25.0737550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-07-24T04:00:25.0739070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-07-24T04:00:25.0740570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-07-24T04:00:25.0742040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-07-24T04:00:25.0743520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-07-24T04:00:25.0744990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-07-24T04:00:25.0746530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-07-24T04:00:25.0747980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-07-24T04:00:25.0749560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-07-24T04:00:25.0750970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-07-24T04:00:25.0752490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-07-24T04:00:25.0753970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-07-24T04:00:25.0755460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-07-24T04:00:25.0756890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-07-24T04:00:25.0758450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-07-24T04:00:25.0759890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-07-24T04:00:25.0761430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-07-24T04:00:25.0762840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-07-24T04:00:25.0764320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-07-24T04:00:25.0765750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-07-24T04:00:25.0767250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
2025-07-24T04:00:25.0768720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gruvbox.cpython-313.pyc
2025-07-24T04:00:25.0770330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly_grayscale.cpython-313.pyc
2025-07-24T04:00:25.0771840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_light.cpython-313.pyc
2025-07-24T04:00:25.0773280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/zenburn.cpython-313.pyc
2025-07-24T04:00:25.0774830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_light.cpython-313.pyc
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2025-07-24T04:00:25.1598370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/bin/pydoc3.13
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2025-07-24T04:00:25.3050600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/lib-dynload/_testsinglephase.cpython-313-darwin.so
2025-07-24T04:00:25.3051730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/lib-dynload/_codecs_iso2022.cpython-313-darwin.so
2025-07-24T04:00:25.3053010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/lib-dynload/_curses.cpython-313-darwin.so
2025-07-24T04:00:25.3054260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/lib-dynload/_dbm.cpython-313-darwin.so
2025-07-24T04:00:25.3055380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_romanian.py
2025-07-24T04:00:25.3056440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_farsi.py
2025-07-24T04:00:25.3057470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/idna.py
2025-07-24T04:00:25.3058530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp273.py
2025-07-24T04:00:25.3059610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/punycode.py
2025-07-24T04:00:25.3060810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/raw_unicode_escape.py
2025-07-24T04:00:25.3061830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_8.py
2025-07-24T04:00:25.3062870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1252.py
2025-07-24T04:00:25.3063920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp869.py
2025-07-24T04:00:25.3065040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_14.py
2025-07-24T04:00:25.3066140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_2.py
2025-07-24T04:00:25.3067280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_arabic.py
2025-07-24T04:00:25.3068370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_croatian.py
2025-07-24T04:00:25.3319190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/big5hkscs.py
2025-07-24T04:00:25.3319890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1256.py
2025-07-24T04:00:25.3321040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_6.py
2025-07-24T04:00:25.3322080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_10.py
2025-07-24T04:00:25.3323210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso2022_kr.py
2025-07-24T04:00:25.3324240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1140.py
2025-07-24T04:00:25.3325270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1125.py
2025-07-24T04:00:25.3326420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso2022_jp_1.py
2025-07-24T04:00:25.3327460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1257.py
2025-07-24T04:00:25.3328510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp949.py
2025-07-24T04:00:25.3329570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp858.py
2025-07-24T04:00:25.3330650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_7.py
2025-07-24T04:00:25.3331820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_11.py
2025-07-24T04:00:25.3332880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/hp_roman8.py
2025-07-24T04:00:25.3333930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/koi8_r.py
2025-07-24T04:00:25.3335040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/zlib_codec.py
2025-07-24T04:00:25.3336050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/gbk.py
2025-07-24T04:00:25.3337100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/johab.py
2025-07-24T04:00:25.3338170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1253.py
2025-07-24T04:00:25.3339250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_15.py
2025-07-24T04:00:25.3340430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso2022_jp_2004.py
2025-07-24T04:00:25.3341500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_iceland.py
2025-07-24T04:00:25.3342580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_3.py
2025-07-24T04:00:25.3343690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_greek.py
2025-07-24T04:00:25.3344730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/rot_13.py
2025-07-24T04:00:25.3345810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_16_be.py
2025-07-24T04:00:25.3346870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_kr.py
2025-07-24T04:00:25.3348030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_jisx0213.py
2025-07-24T04:00:25.3349040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp863.py
2025-07-24T04:00:25.3350090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/ascii.py
2025-07-24T04:00:25.3351200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_8.py
2025-07-24T04:00:25.3352300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp857.py
2025-07-24T04:00:25.3353350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_32_be.py
2025-07-24T04:00:25.3354390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1258.py
2025-07-24T04:00:25.3355510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/oem.py
2025-07-24T04:00:25.3356650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_latin2.py
2025-07-24T04:00:25.3357680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp775.py
2025-07-24T04:00:25.3358760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_roman.py
2025-07-24T04:00:25.3359860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__init__.py
2025-07-24T04:00:25.3361230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp852.py
2025-07-24T04:00:25.3362130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/shift_jisx0213.py
2025-07-24T04:00:25.3363150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp866.py
2025-07-24T04:00:25.3364210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_7.py
2025-07-24T04:00:25.3365390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/base64_codec.py
2025-07-24T04:00:25.3366750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp500.cpython-313.pyc
2025-07-24T04:00:25.3368100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp861.cpython-313.pyc
2025-07-24T04:00:25.3369480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/iso8859_8.cpython-313.pyc
2025-07-24T04:00:25.3370810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/utf_8_sig.cpython-313.pyc
2025-07-24T04:00:25.3372090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/koi8_u.cpython-313.pyc
2025-07-24T04:00:25.3373410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/mbcs.cpython-313.pyc
2025-07-24T04:00:25.3374710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/iso8859_7.cpython-313.pyc
2025-07-24T04:00:25.3376110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/iso2022_jp_3.cpython-313.pyc
2025-07-24T04:00:25.3377450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/shift_jisx0213.cpython-313.pyc
2025-07-24T04:00:25.3378770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/shift_jis.cpython-313.pyc
2025-07-24T04:00:25.3380040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/gbk.cpython-313.pyc
2025-07-24T04:00:25.3381350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp273.cpython-313.pyc
2025-07-24T04:00:25.3382660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp1256.cpython-313.pyc
2025-07-24T04:00:25.3384010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/mac_turkish.cpython-313.pyc
2025-07-24T04:00:25.3385540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/utf_32_be.cpython-313.pyc
2025-07-24T04:00:25.3386750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/unicode_escape.cpython-313.pyc
2025-07-24T04:00:25.3388060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp869.cpython-313.pyc
2025-07-24T04:00:25.3389340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/punycode.cpython-313.pyc
2025-07-24T04:00:25.3390680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/charmap.cpython-313.pyc
2025-07-24T04:00:25.3391980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/gb18030.cpython-313.pyc
2025-07-24T04:00:25.3393230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/big5.cpython-313.pyc
2025-07-24T04:00:25.3394540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp1251.cpython-313.pyc
2025-07-24T04:00:25.3395800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/ascii.cpython-313.pyc
2025-07-24T04:00:25.3397150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp1006.cpython-313.pyc
2025-07-24T04:00:25.3398450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/koi8_r.cpython-313.pyc
2025-07-24T04:00:25.3399810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/iso8859_10.cpython-313.pyc
2025-07-24T04:00:25.3401100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp424.cpython-313.pyc
2025-07-24T04:00:25.3402430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/big5hkscs.cpython-313.pyc
2025-07-24T04:00:25.3403750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/euc_jp.cpython-313.pyc
2025-07-24T04:00:25.3405030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/aliases.cpython-313.pyc
2025-07-24T04:00:25.3406290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp866.cpython-313.pyc
2025-07-24T04:00:25.3407600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp1125.cpython-313.pyc
2025-07-24T04:00:25.3408880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp1250.cpython-313.pyc
2025-07-24T04:00:25.3410220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/mac_farsi.cpython-313.pyc
2025-07-24T04:00:25.3411460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/idna.cpython-313.pyc
2025-07-24T04:00:25.3412730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/cp855.cpython-313.pyc
2025-07-24T04:00:25.3414110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/mac_latin2.cpython-313.pyc
2025-07-24T04:00:25.3415400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__pycache__/mac_greek.cpython-313.pyc
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2025-07-24T04:00:25.3778260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/unittest/signals.py
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2025-07-24T04:00:25.4085000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/fnmatch.py
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2025-07-24T04:00:25.4353550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/traceback.py
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2025-07-24T04:00:25.4355540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/warnings.py
2025-07-24T04:00:25.4356540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/subprocess.py
2025-07-24T04:00:25.4357530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/profile.py
2025-07-24T04:00:25.4358450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/this.py
2025-07-24T04:00:25.4359440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/filecmp.py
2025-07-24T04:00:25.4360830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/codecs.py
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2025-07-24T04:00:25.4375580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_weakrefset.py
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2025-07-24T04:00:25.4388240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/code.py
2025-07-24T04:00:25.4389240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/operator.py
2025-07-24T04:00:25.4390220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/fileinput.py
2025-07-24T04:00:25.4391680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/os.py
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2025-07-24T04:00:25.4395700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/selectors.py
2025-07-24T04:00:25.4396750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/decimal.py
2025-07-24T04:00:25.4397760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/socketserver.py
2025-07-24T04:00:25.4398670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/copy.py
2025-07-24T04:00:25.4399720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/html/__init__.py
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2025-07-24T04:00:25.4405550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/html/entities.py
2025-07-24T04:00:25.4406560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/genericpath.py
2025-07-24T04:00:25.4407560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/linecache.py
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2025-07-24T04:00:25.4410520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tkinter/scrolledtext.py
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2025-07-24T04:00:25.4411870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tkinter/commondialog.py
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2025-07-24T04:00:25.4781180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/posixpath.py
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2025-07-24T04:00:25.5830740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guyana
2025-07-24T04:00:25.5831740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coral_Harbour
2025-07-24T04:00:25.5832670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rio_Branco
2025-07-24T04:00:25.5833620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Acre
2025-07-24T04:00:25.5834610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ciudad_Juarez
2025-07-24T04:00:25.5835540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nipigon
2025-07-24T04:00:25.5836520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Edmonton
2025-07-24T04:00:25.5837590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port_of_Spain
2025-07-24T04:00:25.5838490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lower_Princes
2025-07-24T04:00:25.5839520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Thomas
2025-07-24T04:00:25.5840390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guatemala
2025-07-24T04:00:25.5841320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Catamarca
2025-07-24T04:00:25.5842240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Antigua
2025-07-24T04:00:25.5843210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Velho
2025-07-24T04:00:25.5844130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rosario
2025-07-24T04:00:25.5845060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chicago
2025-07-24T04:00:25.5845990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Creston
2025-07-24T04:00:25.5846920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Managua
2025-07-24T04:00:25.5847850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nassau
2025-07-24T04:00:25.5848750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bogota
2025-07-24T04:00:25.5849690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cancun
2025-07-24T04:00:25.5850630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chihuahua
2025-07-24T04:00:25.5851620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Campo_Grande
2025-07-24T04:00:25.5852530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Halifax
2025-07-24T04:00:25.5853470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boise
2025-07-24T04:00:25.5854380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montreal
2025-07-24T04:00:25.5855340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Goose_Bay
2025-07-24T04:00:25.5856280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sao_Paulo
2025-07-24T04:00:25.5857260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon
2025-07-24T04:00:25.5858190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Phoenix
2025-07-24T04:00:25.5859350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atikokan
2025-07-24T04:00:25.5860060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayenne
2025-07-24T04:00:25.5860950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nuuk
2025-07-24T04:00:25.5861940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santa_Isabel
2025-07-24T04:00:25.5862860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boa_Vista
2025-07-24T04:00:25.5863960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia_Banderas
2025-07-24T04:00:25.5865100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay
2025-07-24T04:00:25.5865930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis
2025-07-24T04:00:25.5866940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac
2025-07-24T04:00:25.5867940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City
2025-07-24T04:00:25.5868980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg
2025-07-24T04:00:25.5869990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes
2025-07-24T04:00:25.5871220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Knox
2025-07-24T04:00:25.5872020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo
2025-07-24T04:00:25.5872960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indianapolis
2025-07-24T04:00:25.5873880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dominica
2025-07-24T04:00:25.5874900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Salta
2025-07-24T04:00:25.5875920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Ushuaia
2025-07-24T04:00:25.5876990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Catamarca
2025-07-24T04:00:25.5878300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/ComodRivadavia
2025-07-24T04:00:25.5879090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Juan
2025-07-24T04:00:25.5880130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Luis
2025-07-24T04:00:25.5881190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-07-24T04:00:25.5882170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Jujuy
2025-07-24T04:00:25.5883240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Tucuman
2025-07-24T04:00:25.5884580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Buenos_Aires
2025-07-24T04:00:25.5885280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Cordoba
2025-07-24T04:00:25.5886310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/La_Rioja
2025-07-24T04:00:25.5887310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Mendoza
2025-07-24T04:00:25.5888220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/La_Paz
2025-07-24T04:00:25.5889150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson
2025-07-24T04:00:25.5890430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Moncton
2025-07-24T04:00:25.5891030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Matamoros
2025-07-24T04:00:25.5891990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Vincent
2025-07-24T04:00:25.5892890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Regina
2025-07-24T04:00:25.5893880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yellowknife
2025-07-24T04:00:25.5894840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rainy_River
2025-07-24T04:00:25.5895790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kralendijk
2025-07-24T04:00:25.5896770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Monterrey
2025-07-24T04:00:25.5897900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jamaica
2025-07-24T04:00:25.5898590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Havana
2025-07-24T04:00:25.5899590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tegucigalpa
2025-07-24T04:00:25.5900510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guayaquil
2025-07-24T04:00:25.5901480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Metlakatla
2025-07-24T04:00:25.5902440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mazatlan
2025-07-24T04:00:25.5904090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belize
2025-07-24T04:00:25.5904310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Knox_IN
2025-07-24T04:00:25.5905330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cuiaba
2025-07-24T04:00:25.5906120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Merida
2025-07-24T04:00:25.5907020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jujuy
2025-07-24T04:00:25.5907930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayman
2025-07-24T04:00:25.5908840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belem
2025-07-24T04:00:25.5909790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Eirunepe
2025-07-24T04:00:25.5910730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Lucia
2025-07-24T04:00:25.5911660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia
2025-07-24T04:00:25.5912850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Whitehorse
2025-07-24T04:00:25.5913570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tortola
2025-07-24T04:00:25.5914510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Vancouver
2025-07-24T04:00:25.5915440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Inuvik
2025-07-24T04:00:25.5916430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port-au-Prince
2025-07-24T04:00:25.5917370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fortaleza
2025-07-24T04:00:25.5918340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Noronha
2025-07-24T04:00:25.5919290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Buenos_Aires
2025-07-24T04:00:25.5920250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Los_Angeles
2025-07-24T04:00:25.5921210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/El_Salvador
2025-07-24T04:00:25.5922130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Denver
2025-07-24T04:00:25.5923080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Wayne
2025-07-24T04:00:25.5924140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Louisville
2025-07-24T04:00:25.5925190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Monticello
2025-07-24T04:00:25.5926480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/New_Salem
2025-07-24T04:00:25.5927290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Center
2025-07-24T04:00:25.5928320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Beulah
2025-07-24T04:00:25.5929240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Glace_Bay
2025-07-24T04:00:25.5930190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montserrat
2025-07-24T04:00:25.5931190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Toronto
2025-07-24T04:00:25.5932260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Panama
2025-07-24T04:00:25.5932970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cordoba
2025-07-24T04:00:25.5933940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Louisville
2025-07-24T04:00:25.5934850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ensenada
2025-07-24T04:00:25.5935790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Shiprock
2025-07-24T04:00:25.5936710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ojinaga
2025-07-24T04:00:25.5937640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thule
2025-07-24T04:00:25.5938560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Caracas
2025-07-24T04:00:25.5939530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Araguaina
2025-07-24T04:00:25.5940500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cambridge_Bay
2025-07-24T04:00:25.5941430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Winnipeg
2025-07-24T04:00:25.5942380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grand_Turk
2025-07-24T04:00:25.5943390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Virgin
2025-07-24T04:00:25.5944550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anchorage
2025-07-24T04:00:25.5945230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Costa_Rica
2025-07-24T04:00:25.5946120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nome
2025-07-24T04:00:25.5947040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grenada
2025-07-24T04:00:25.5947980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Johns
2025-07-24T04:00:25.5948870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atka
2025-07-24T04:00:25.5949840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Asuncion
2025-07-24T04:00:25.5950900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Hermosillo
2025-07-24T04:00:25.5951720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tijuana
2025-07-24T04:00:25.5952650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Marigot
2025-07-24T04:00:25.5953560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Juneau
2025-07-24T04:00:25.5954520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montevideo
2025-07-24T04:00:25.5955470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Godthab
2025-07-24T04:00:25.5956440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guadeloupe
2025-07-24T04:00:25.5957390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Maceio
2025-07-24T04:00:25.5958390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Pangnirtung
2025-07-24T04:00:25.5959340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Kitts
2025-07-24T04:00:25.5960280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Barbados
2025-07-24T04:00:25.5961240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Iqaluit
2025-07-24T04:00:25.5962240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Menominee
2025-07-24T04:00:25.5963260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Martinique
2025-07-24T04:00:25.5964440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mexico_City
2025-07-24T04:00:25.5965180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Swift_Current
2025-07-24T04:00:25.5966130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Miquelon
2025-07-24T04:00:25.5967060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Curacao
2025-07-24T04:00:25.5968130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson_Creek
2025-07-24T04:00:25.5969090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mendoza
2025-07-24T04:00:25.5975090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Adak
2025-07-24T04:00:25.5975470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coyhaique
2025-07-24T04:00:25.5975750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thunder_Bay
2025-07-24T04:00:25.5975970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Aruba
2025-07-24T04:00:25.5976380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Nelson
2025-07-24T04:00:25.5976650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sitka
2025-07-24T04:00:25.5976870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anguilla
2025-07-24T04:00:25.5977110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Danmarkshavn
2025-07-24T04:00:25.5978020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Melbourne
2025-07-24T04:00:25.5979030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Queensland
2025-07-24T04:00:25.5979960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/North
2025-07-24T04:00:25.5980950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lord_Howe
2025-07-24T04:00:25.5981900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Adelaide
2025-07-24T04:00:25.5982910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Yancowinna
2025-07-24T04:00:25.5984110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Victoria
2025-07-24T04:00:25.5984800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Canberra
2025-07-24T04:00:25.5985720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Sydney
2025-07-24T04:00:25.5986660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/ACT
2025-07-24T04:00:25.5987580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Eucla
2025-07-24T04:00:25.5988560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Brisbane
2025-07-24T04:00:25.5989740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Tasmania
2025-07-24T04:00:25.5990470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Hobart
2025-07-24T04:00:25.5991360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Perth
2025-07-24T04:00:25.5992300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/South
2025-07-24T04:00:25.5993270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lindeman
2025-07-24T04:00:25.5994270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Darwin
2025-07-24T04:00:25.5995160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/West
2025-07-24T04:00:25.5996080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/LHI
2025-07-24T04:00:25.5997000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/NSW
2025-07-24T04:00:25.5998020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Broken_Hill
2025-07-24T04:00:25.5998980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Currie
2025-07-24T04:00:25.5999840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-10
2025-07-24T04:00:25.6000770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+12
2025-07-24T04:00:25.6001650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-11
2025-07-24T04:00:25.6002570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Universal
2025-07-24T04:00:25.6003500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Greenwich
2025-07-24T04:00:25.6004390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-6
2025-07-24T04:00:25.6005440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-1
2025-07-24T04:00:25.6006160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-8
2025-07-24T04:00:25.6007040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+4
2025-07-24T04:00:25.6008190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+3
2025-07-24T04:00:25.6008790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-9
2025-07-24T04:00:25.6009670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-0
2025-07-24T04:00:25.6010580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-7
2025-07-24T04:00:25.6011470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+2
2025-07-24T04:00:25.6012340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+5
2025-07-24T04:00:25.6013220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT
2025-07-24T04:00:25.6014100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Zulu
2025-07-24T04:00:25.6014990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+11
2025-07-24T04:00:25.6015890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-13
2025-07-24T04:00:25.6016810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-14
2025-07-24T04:00:25.6017730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+10
2025-07-24T04:00:25.6018680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-12
2025-07-24T04:00:25.6019620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT0
2025-07-24T04:00:25.6020890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UCT
2025-07-24T04:00:25.6021400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+0
2025-07-24T04:00:25.6022270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+7
2025-07-24T04:00:25.6023140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+9
2025-07-24T04:00:25.6024050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-2
2025-07-24T04:00:25.6024940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-5
2025-07-24T04:00:25.6025830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+8
2025-07-24T04:00:25.6026750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+6
2025-07-24T04:00:25.6027670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+1
2025-07-24T04:00:25.6028560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UTC
2025-07-24T04:00:25.6029470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-4
2025-07-24T04:00:25.6030380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-3
2025-07-24T04:00:25.6031260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zonenow.tab
2025-07-24T04:00:25.6032130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ-CHAT
2025-07-24T04:00:25.6033090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dushanbe
2025-07-24T04:00:25.6034230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qostanay
2025-07-24T04:00:25.6034890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Calcutta
2025-07-24T04:00:25.6035800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Urumqi
2025-07-24T04:00:25.6036650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Karachi
2025-07-24T04:00:25.6037560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Khandyga
2025-07-24T04:00:25.6038460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimbu
2025-07-24T04:00:25.6039620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimphu
2025-07-24T04:00:25.6040330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vladivostok
2025-07-24T04:00:25.6041240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vientiane
2025-07-24T04:00:25.6042200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Shanghai
2025-07-24T04:00:25.6043140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulan_Bator
2025-07-24T04:00:25.6044030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aden
2025-07-24T04:00:25.6044930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Muscat
2025-07-24T04:00:25.6045910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Damascus
2025-07-24T04:00:25.6046840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jerusalem
2025-07-24T04:00:25.6047720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Brunei
2025-07-24T04:00:25.6048720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulaanbaatar
2025-07-24T04:00:25.6049570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Amman
2025-07-24T04:00:25.6050520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuching
2025-07-24T04:00:25.6051450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tel_Aviv
2025-07-24T04:00:25.6052370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Seoul
2025-07-24T04:00:25.6053300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Atyrau
2025-07-24T04:00:25.6054260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pyongyang
2025-07-24T04:00:25.6055130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hovd
2025-07-24T04:00:25.6056040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hebron
2025-07-24T04:00:25.6056970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuwait
2025-07-24T04:00:25.6057880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tomsk
2025-07-24T04:00:25.6058780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Manila
2025-07-24T04:00:25.6059670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chita
2025-07-24T04:00:25.6060620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Katmandu
2025-07-24T04:00:25.6061500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Gaza
2025-07-24T04:00:25.6062440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Samarkand
2025-07-24T04:00:25.6063340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Taipei
2025-07-24T04:00:25.6064250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tashkent
2025-07-24T04:00:25.6065240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yekaterinburg
2025-07-24T04:00:25.6066160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macau
2025-07-24T04:00:25.6067050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qyzylorda
2025-07-24T04:00:25.6067940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macao
2025-07-24T04:00:25.6068820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tokyo
2025-07-24T04:00:25.6069730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baku
2025-07-24T04:00:25.6070640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Barnaul
2025-07-24T04:00:25.6071570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Istanbul
2025-07-24T04:00:25.6072480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Irkutsk
2025-07-24T04:00:25.6073370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qatar
2025-07-24T04:00:25.6074300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bahrain
2025-07-24T04:00:25.6075240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yangon
2025-07-24T04:00:25.6076130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yerevan
2025-07-24T04:00:25.6077030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Almaty
2025-07-24T04:00:25.6077910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dili
2025-07-24T04:00:25.6078850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dacca
2025-07-24T04:00:25.6079800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chongqing
2025-07-24T04:00:25.6080750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ust-Nera
2025-07-24T04:00:25.6081670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Magadan
2025-07-24T04:00:25.6082610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Colombo
2025-07-24T04:00:25.6083600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Krasnoyarsk
2025-07-24T04:00:25.6084540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kamchatka
2025-07-24T04:00:25.6085550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ujung_Pandang
2025-07-24T04:00:25.6086470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jakarta
2025-07-24T04:00:25.6087400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kolkata
2025-07-24T04:00:25.6088300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kabul
2025-07-24T04:00:25.6089180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Oral
2025-07-24T04:00:25.6090130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jayapura
2025-07-24T04:00:25.6091070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pontianak
2025-07-24T04:00:25.6092010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Makassar
2025-07-24T04:00:25.6092910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tbilisi
2025-07-24T04:00:25.6093850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Singapore
2025-07-24T04:00:25.6094780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Harbin
2025-07-24T04:00:25.6095700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kashgar
2025-07-24T04:00:25.6096680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dhaka
2025-07-24T04:00:25.6097580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yakutsk
2025-07-24T04:00:25.6098590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuala_Lumpur
2025-07-24T04:00:25.6099430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tehran
2025-07-24T04:00:25.6100380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Beirut
2025-07-24T04:00:25.6101270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtobe
2025-07-24T04:00:25.6102170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Anadyr
2025-07-24T04:00:25.6103100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bishkek
2025-07-24T04:00:25.6103980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dubai
2025-07-24T04:00:25.6104910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Riyadh
2025-07-24T04:00:25.6105910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novokuznetsk
2025-07-24T04:00:25.6106790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtau
2025-07-24T04:00:25.6107690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Omsk
2025-07-24T04:00:25.6108640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashkhabad
2025-07-24T04:00:25.6109570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Saigon
2025-07-24T04:00:25.6110500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Sakhalin
2025-07-24T04:00:25.6111480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hong_Kong
2025-07-24T04:00:25.6112430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Phnom_Penh
2025-07-24T04:00:25.6113310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Nicosia
2025-07-24T04:00:25.6114240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baghdad
2025-07-24T04:00:25.6115230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Srednekolymsk
2025-07-24T04:00:25.6116120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashgabat
2025-07-24T04:00:25.6117060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kathmandu
2025-07-24T04:00:25.6117990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Choibalsan
2025-07-24T04:00:25.6118880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bangkok
2025-07-24T04:00:25.6119850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chungking
2025-07-24T04:00:25.6120820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novosibirsk
2025-07-24T04:00:25.6121740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Famagusta
2025-07-24T04:00:25.6122740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Rangoon
2025-07-24T04:00:25.6123670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ho_Chi_Minh
2025-07-24T04:00:25.6124450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MET
2025-07-24T04:00:25.6125380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Portugal
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2025-07-24T04:00:25.6127430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Davis
2025-07-24T04:00:25.6128330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Rothera
2025-07-24T04:00:25.6129290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Vostok
2025-07-24T04:00:25.6130230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Syowa
2025-07-24T04:00:25.6131300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/DumontDUrville
2025-07-24T04:00:25.6132250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/McMurdo
2025-07-24T04:00:25.6133240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Macquarie
2025-07-24T04:00:25.6134260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/South_Pole
2025-07-24T04:00:25.6135190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Troll
2025-07-24T04:00:25.6136150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Mawson
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2025-07-24T04:00:25.6142240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Jamaica
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2025-07-24T04:00:25.6143930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Zulu
2025-07-24T04:00:25.6144760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Japan
2025-07-24T04:00:25.6145590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROC
2025-07-24T04:00:25.6146460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB-Eire
2025-07-24T04:00:25.6147410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zurich
2025-07-24T04:00:25.6148330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Paris
2025-07-24T04:00:25.6149270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Moscow
2025-07-24T04:00:25.6150240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Luxembourg
2025-07-24T04:00:25.6151180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ljubljana
2025-07-24T04:00:25.6152170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Helsinki
2025-07-24T04:00:25.6153070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Minsk
2025-07-24T04:00:25.6154010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Skopje
2025-07-24T04:00:25.6154920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Dublin
2025-07-24T04:00:25.6155840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Jersey
2025-07-24T04:00:25.6156860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/San_Marino
2025-07-24T04:00:25.6157780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Gibraltar
2025-07-24T04:00:25.6158830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belgrade
2025-07-24T04:00:25.6159770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Guernsey
2025-07-24T04:00:25.6160720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ulyanovsk
2025-07-24T04:00:25.6161650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Saratov
2025-07-24T04:00:25.6162550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vaduz
2025-07-24T04:00:25.6163500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Istanbul
2025-07-24T04:00:25.6164450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Lisbon
2025-07-24T04:00:25.6165380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Uzhgorod
2025-07-24T04:00:25.6166610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kirov
2025-07-24T04:00:25.6167550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tirane
2025-07-24T04:00:25.6168520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tiraspol
2025-07-24T04:00:25.6169460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sarajevo
2025-07-24T04:00:25.6170460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Madrid
2025-07-24T04:00:25.6171360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Podgorica
2025-07-24T04:00:25.6172310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Busingen
2025-07-24T04:00:25.6173220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vatican
2025-07-24T04:00:25.6174140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belfast
2025-07-24T04:00:25.6175130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bratislava
2025-07-24T04:00:25.6176010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kiev
2025-07-24T04:00:25.6177010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kaliningrad
2025-07-24T04:00:25.6177950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zaporozhye
2025-07-24T04:00:25.6178850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vienna
2025-07-24T04:00:25.6179800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Budapest
2025-07-24T04:00:25.6180720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vilnius
2025-07-24T04:00:25.6181670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Monaco
2025-07-24T04:00:25.6182550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Oslo
2025-07-24T04:00:25.6183510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Astrakhan
2025-07-24T04:00:25.6184470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Simferopol
2025-07-24T04:00:25.6185420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Volgograd
2025-07-24T04:00:25.6186350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kyiv
2025-07-24T04:00:25.6187310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Isle_of_Man
2025-07-24T04:00:25.6188320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/London
2025-07-24T04:00:25.6189170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Riga
2025-07-24T04:00:25.6190140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Andorra
2025-07-24T04:00:25.6191060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Prague
2025-07-24T04:00:25.6192000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Berlin
2025-07-24T04:00:25.6192940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tallinn
2025-07-24T04:00:25.6193840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Rome
2025-07-24T04:00:25.6194780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Malta
2025-07-24T04:00:25.6195710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zagreb
2025-07-24T04:00:25.6196660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Amsterdam
2025-07-24T04:00:25.6197580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Nicosia
2025-07-24T04:00:25.6198550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bucharest
2025-07-24T04:00:25.6199520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Copenhagen
2025-07-24T04:00:25.6200510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Chisinau
2025-07-24T04:00:25.6201500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Mariehamn
2025-07-24T04:00:25.6202370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sofia
2025-07-24T04:00:25.6203300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Athens
2025-07-24T04:00:25.6204280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Stockholm
2025-07-24T04:00:25.6205200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Samara
2025-07-24T04:00:25.6206200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Brussels
2025-07-24T04:00:25.6207120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Warsaw
2025-07-24T04:00:25.6207940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROK
2025-07-24T04:00:25.6208780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Navajo
2025-07-24T04:00:25.6209690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Singapore
2025-07-24T04:00:25.6210500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB
2025-07-24T04:00:25.6211490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaNorte
2025-07-24T04:00:25.6212420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/General
2025-07-24T04:00:25.6213460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaSur
2025-07-24T04:00:25.6214250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EST
2025-07-24T04:00:25.6215110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT0
2025-07-24T04:00:25.6215980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Hongkong
2025-07-24T04:00:25.6216810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/PRC
2025-07-24T04:00:25.6217720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zone.tab
2025-07-24T04:00:25.6218590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Iran
2025-07-24T04:00:25.6219580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/build/etc/localtime
2025-07-24T04:00:25.6220400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MST7MDT
2025-07-24T04:00:25.6221230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/WET
2025-07-24T04:00:25.6222100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/W-SU
2025-07-24T04:00:25.6222900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/UCT
2025-07-24T04:00:25.6223750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Cuba
2025-07-24T04:00:25.6224590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Egypt
2025-07-24T04:00:25.6225450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT+0
2025-07-24T04:00:25.6226350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/tzdata.zi
2025-07-24T04:00:25.6227140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EET
2025-07-24T04:00:25.6228010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Israel
2025-07-24T04:00:25.6229000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Sao_Tome
2025-07-24T04:00:25.6229950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Conakry
2025-07-24T04:00:25.6230850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Dakar
2025-07-24T04:00:25.6231810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Ndjamena
2025-07-24T04:00:25.6232780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Casablanca
2025-07-24T04:00:25.6233650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Lome
2025-07-24T04:00:25.6234600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Algiers
2025-07-24T04:00:25.6235550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Mogadishu
2025-07-24T04:00:25.6236440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Lagos
2025-07-24T04:00:25.6237430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Brazzaville
2025-07-24T04:00:25.6238380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Timbuktu
2025-07-24T04:00:25.6239350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Nouakchott
2025-07-24T04:00:25.6240240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Maseru
2025-07-24T04:00:25.6241200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Libreville
2025-07-24T04:00:25.6242110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Harare
2025-07-24T04:00:25.6243050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Malabo
2025-07-24T04:00:25.6243970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Bangui
2025-07-24T04:00:25.6244890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Nairobi
2025-07-24T04:00:25.6245870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Kinshasa
2025-07-24T04:00:25.6246890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Porto-Novo
2025-07-24T04:00:25.6247780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Cairo
2025-07-24T04:00:25.6248800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Douala
2025-07-24T04:00:25.6249630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Juba
2025-07-24T04:00:25.6250600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Gaborone
2025-07-24T04:00:25.6251500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Tunis
2025-07-24T04:00:25.6252420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Kampala
2025-07-24T04:00:25.6253330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Mbabane
2025-07-24T04:00:25.6254330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Addis_Ababa
2025-07-24T04:00:25.6255280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Maputo
2025-07-24T04:00:25.6256160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Bissau
2025-07-24T04:00:25.6257080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Blantyre
2025-07-24T04:00:25.6257990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Niamey
2025-07-24T04:00:25.6258920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Banjul
2025-07-24T04:00:25.6259860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Abidjan
2025-07-24T04:00:25.6260750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Asmara
2025-07-24T04:00:25.6261700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Bamako
2025-07-24T04:00:25.6262660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Ouagadougou
2025-07-24T04:00:25.6263590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Lusaka
2025-07-24T04:00:25.6264480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Luanda
2025-07-24T04:00:25.6265400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Asmera
2025-07-24T04:00:25.6266380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Lubumbashi
2025-07-24T04:00:25.6267270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Accra
2025-07-24T04:00:25.6268220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Khartoum
2025-07-24T04:00:25.6269170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Ceuta
2025-07-24T04:00:25.6270140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Bujumbura
2025-07-24T04:00:25.6271100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Windhoek
2025-07-24T04:00:25.6272040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/El_Aaiun
2025-07-24T04:00:25.6272990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Tripoli
2025-07-24T04:00:25.6274020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Monrovia
2025-07-24T04:00:25.6275000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Dar_es_Salaam
2025-07-24T04:00:25.6275970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Johannesburg
2025-07-24T04:00:25.6276870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Kigali
2025-07-24T04:00:25.6277840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Djibouti
2025-07-24T04:00:25.6278810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Africa/Freetown
2025-07-24T04:00:25.6279610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Factory
2025-07-24T04:00:25.6280420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/UTC
2025-07-24T04:00:25.6281410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Chile/EasterIsland
2025-07-24T04:00:25.6282380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Chile/Continental
2025-07-24T04:00:25.6283160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/HST
2025-07-24T04:00:25.6284140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Atlantic
2025-07-24T04:00:25.6285070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Pacific
2025-07-24T04:00:25.6285980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Eastern
2025-07-24T04:00:25.6286910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Yukon
2025-07-24T04:00:25.6287890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Saskatchewan
2025-07-24T04:00:25.6288860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Newfoundland
2025-07-24T04:00:25.6289790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Central
2025-07-24T04:00:25.6290750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Canada/Mountain
2025-07-24T04:00:25.6291580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Iceland
2025-07-24T04:00:25.6292580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/reproc-cpp-14.2.4-h313beb8_2/include/reproc++/export.hpp
2025-07-24T04:00:25.6293550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/reproc-cpp-14.2.4-h313beb8_2/include/reproc++/reproc.hpp
2025-07-24T04:00:25.6294470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/reproc-cpp-14.2.4-h313beb8_2/include/reproc++/env.hpp
2025-07-24T04:00:25.6295540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/reproc-cpp-14.2.4-h313beb8_2/include/reproc++/detail/array.hpp
2025-07-24T04:00:25.6296610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/reproc-cpp-14.2.4-h313beb8_2/include/reproc++/detail/type_traits.hpp
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2025-07-24T04:00:25.6885920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/cachecontrol/heuristics.py
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2025-07-24T04:00:25.6936540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/requests/adapters.py
2025-07-24T04:00:25.6937840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli/_types.py
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2025-07-24T04:00:25.7038590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/panel.py
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2025-07-24T04:00:25.7041140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/spinner.py
2025-07-24T04:00:25.7042580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_windows_renderer.py
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2025-07-24T04:00:25.7055970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli_w/_writer.py
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2025-07-24T04:00:25.7061230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/fields.py
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2025-07-24T04:00:25.7086830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/response.py
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2025-07-24T04:00:25.7089920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/__init__.py
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2025-07-24T04:00:25.7103480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/connection.py
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2025-07-24T04:00:25.7109750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/packages/backports/makefile.py
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2025-07-24T04:00:25.7112900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/packages/six.py
2025-07-24T04:00:25.7114400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/exceptions.py
2025-07-24T04:00:25.7115850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/connectionpool.py
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2025-07-24T04:00:25.7118860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/__init__.py
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2025-07-24T04:00:25.7124980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/resolvers/criterion.py
2025-07-24T04:00:25.7126540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/resolvers/resolution.py
2025-07-24T04:00:25.7127850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/providers.py
2025-07-24T04:00:25.7129570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/structs.py
2025-07-24T04:00:25.7130960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/reporters.py
2025-07-24T04:00:25.7132350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/resolvelib/py.typed
2025-07-24T04:00:25.7133730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/typing_extensions.py
2025-07-24T04:00:25.7135210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/platformdirs/macos.py
2025-07-24T04:00:25.7136570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/platformdirs/unix.py
2025-07-24T04:00:25.7137930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/platformdirs/version.py
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2025-07-24T04:00:25.7142100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/platformdirs/android.py
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2025-07-24T04:00:25.7144910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/platformdirs/windows.py
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2025-07-24T04:00:25.7326610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/info/licenses/LICENSE.txt
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2025-07-24T04:00:25.7336060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/info/recipe/deactivate.ps1
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2025-07-24T04:00:25.7388690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtintrv.h
2025-07-24T04:00:25.7389740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usimplenumberformatter.h
2025-07-24T04:00:25.7390510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucurr.h
2025-07-24T04:00:25.7391380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/icuplug.h
2025-07-24T04:00:25.7392280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uregion.h
2025-07-24T04:00:25.7393070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utext.h
2025-07-24T04:00:25.7393890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/edits.h
2025-07-24T04:00:25.7394810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/parsepos.h
2025-07-24T04:00:25.7395700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucal.h
2025-07-24T04:00:25.7396620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/fpositer.h
2025-07-24T04:00:25.7397520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtitvinf.h
2025-07-24T04:00:25.7398410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbnf.h
2025-07-24T04:00:25.7399250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udat.h
2025-07-24T04:00:25.7400070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/urep.h
2025-07-24T04:00:25.7400910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf32.h
2025-07-24T04:00:25.7401780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/vtzone.h
2025-07-24T04:00:25.7402620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustring.h
2025-07-24T04:00:25.7403570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ubiditransform.h
2025-07-24T04:00:25.7404380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uenum.h
2025-07-24T04:00:25.7405320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umutablecptrie.h
2025-07-24T04:00:25.7406240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/appendable.h
2025-07-24T04:00:25.7407110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usearch.h
2025-07-24T04:00:25.7407890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numsys.h
2025-07-24T04:00:25.7408760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/timezone.h
2025-07-24T04:00:25.7409570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uset.h
2025-07-24T04:00:25.7410420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/casemap.h
2025-07-24T04:00:25.7411280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/coleitr.h
2025-07-24T04:00:25.7412140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/schriter.h
2025-07-24T04:00:25.7412980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/msgfmt.h
2025-07-24T04:00:25.7413860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/fieldpos.h
2025-07-24T04:00:25.7414720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpletz.h
2025-07-24T04:00:25.7415560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucpmap.h
2025-07-24T04:00:25.7416420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uldnames.h
2025-07-24T04:00:25.7417380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumberformatter.h
2025-07-24T04:00:25.7418180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uiter.h
2025-07-24T04:00:25.7418990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umsg.h
2025-07-24T04:00:25.7419890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/sortkey.h
2025-07-24T04:00:25.7420890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simplenumberformatter.h
2025-07-24T04:00:25.7421680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/docmain.h
2025-07-24T04:00:25.7422550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uniset.h
2025-07-24T04:00:25.7423470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/basictz.h
2025-07-24T04:00:25.7424250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udata.h
2025-07-24T04:00:25.7425220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stringtriebuilder.h
2025-07-24T04:00:25.7426050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/chariter.h
2025-07-24T04:00:25.7426890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umisc.h
2025-07-24T04:00:25.7427770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/reldatefmt.h
2025-07-24T04:00:25.7428600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uloc.h
2025-07-24T04:00:25.7429520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurrule.h
2025-07-24T04:00:25.7430560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattednumber.h
2025-07-24T04:00:25.7431500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestriebuilder.h
2025-07-24T04:00:25.7432400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measunit.h
2025-07-24T04:00:25.7433300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrace.h
2025-07-24T04:00:25.7434190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locdspnm.h
2025-07-24T04:00:25.7435040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gregocal.h
2025-07-24T04:00:25.7435920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchriter.h
2025-07-24T04:00:25.7436770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/enumset.h
2025-07-24T04:00:25.7437650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/nounit.h
2025-07-24T04:00:25.7438430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf.h
2025-07-24T04:00:25.7439270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measure.h
2025-07-24T04:00:25.7440160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tzrule.h
2025-07-24T04:00:25.7441100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/strenum.h
2025-07-24T04:00:25.7442190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/regex.h
2025-07-24T04:00:25.7443520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gender.h
2025-07-24T04:00:25.7444700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dcfmtsym.h
2025-07-24T04:00:25.7445860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_err.h
2025-07-24T04:00:25.7447070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/decimfmt.h
2025-07-24T04:00:25.7448300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestrie.h
2025-07-24T04:00:25.7449400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udatpg.h
2025-07-24T04:00:25.7450660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/listformatter.h
2025-07-24T04:00:25.7451670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uobject.h
2025-07-24T04:00:25.7452840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/calendar.h
2025-07-24T04:00:25.7453920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ures.h
2025-07-24T04:00:25.7455020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normlzr.h
2025-07-24T04:00:25.7456210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usprep.h
2025-07-24T04:00:25.7457540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/urename.h
2025-07-24T04:00:25.7458740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/caniter.h
2025-07-24T04:00:25.7459820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucol.h
2025-07-24T04:00:25.7460990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/upluralrules.h
2025-07-24T04:00:25.7462100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstrie.h
2025-07-24T04:00:25.7463330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmunit.h
2025-07-24T04:00:25.7464430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unistr.h
2025-07-24T04:00:25.7465450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbbi.h
2025-07-24T04:00:25.7466560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ulocdata.h
2025-07-24T04:00:25.7467670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/idna.h
2025-07-24T04:00:25.7468760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm2.h
2025-07-24T04:00:25.7469880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localebuilder.h
2025-07-24T04:00:25.7471110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtptngen.h
2025-07-24T04:00:25.7472180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dbbi.h
2025-07-24T04:00:25.7473430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestream.h
2025-07-24T04:00:25.7474460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uversion.h
2025-07-24T04:00:25.7475720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/messagepattern.h
2025-07-24T04:00:25.7476730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uidna.h
2025-07-24T04:00:25.7477950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/filteredbrk.h
2025-07-24T04:00:25.7479040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutamt.h
2025-07-24T04:00:25.7480120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/char16ptr.h
2025-07-24T04:00:25.7481500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattedvalue.h
2025-07-24T04:00:25.7482540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/symtable.h
2025-07-24T04:00:25.7483750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucasemap.h
2025-07-24T04:00:25.7484930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucoleitr.h
2025-07-24T04:00:25.7486530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/compactdecimalformat.h
2025-07-24T04:00:25.7487490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unum.h
2025-07-24T04:00:25.7488790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplaycontext.h
2025-07-24T04:00:25.7489970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tztrans.h
2025-07-24T04:00:25.7491030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umachine.h
2025-07-24T04:00:25.7492230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numberformatter.h
2025-07-24T04:00:25.7493340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/datefmt.h
2025-07-24T04:00:25.7494190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utmscale.h
2025-07-24T04:00:25.7495040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/coll.h
2025-07-24T04:00:25.7495890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/currpinf.h
2025-07-24T04:00:25.7496750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uregex.h
2025-07-24T04:00:25.7497600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutfmt.h
2025-07-24T04:00:25.7498440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurfmt.h
2025-07-24T04:00:25.7499350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustringtrie.h
2025-07-24T04:00:25.7500200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/smpdtfmt.h
2025-07-24T04:00:25.7501060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucptrie.h
2025-07-24T04:00:25.7502010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplayoptions.h
2025-07-24T04:00:25.7502900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/icudataver.h
2025-07-24T04:00:25.7503830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchar.h
2025-07-24T04:00:25.7504870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm.h
2025-07-24T04:00:25.7506030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ushape.h
2025-07-24T04:00:25.7507120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unifunct.h
2025-07-24T04:00:25.7508130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ugender.h
2025-07-24T04:00:25.7509330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/selfmt.h
2025-07-24T04:00:25.7510540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattable.h
2025-07-24T04:00:25.7511600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustream.h
2025-07-24T04:00:25.7512680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpleformatter.h
2025-07-24T04:00:25.7513740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_cb.h
2025-07-24T04:00:25.7515020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/curramt.h
2025-07-24T04:00:25.7516220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locid.h
2025-07-24T04:00:25.7517540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udateintervalformat.h
2025-07-24T04:00:25.7518730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/resbund.h
2025-07-24T04:00:25.7519840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ubidi.h
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2025-07-24T04:00:25.7880400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tqdm-4.67.1-py313h7eb115d_0/lib/python3.13/site-packages/tqdm/auto.py
2025-07-24T04:00:25.7881070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libarchive-3.7.7-h8f13d7a_0.conda
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2025-07-24T04:00:25.7882920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/fwd.h
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2025-07-24T04:00:25.7893180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/qt_sinks.h
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2025-07-24T04:00:25.7901580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/ansicolor_sink.h
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2025-07-24T04:00:25.7917520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/stdout_color_sinks-inl.h
2025-07-24T04:00:25.7918490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/ostream_sink.h
2025-07-24T04:00:25.7919440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/udp_sink.h
2025-07-24T04:00:25.7920560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/rotating_file_sink-inl.h
2025-07-24T04:00:25.7921610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/basic_file_sink-inl.h
2025-07-24T04:00:25.7922560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/spdlog-1.11.0-h48ca7d4_0/include/spdlog/sinks/null_sink.h
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2025-07-24T04:00:25.8953860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/default_styles.py
2025-07-24T04:00:25.8955040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_wrap.py
2025-07-24T04:00:25.8956590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_log_render.py
2025-07-24T04:00:25.8957960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/emoji.py
2025-07-24T04:00:25.8959290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/layout.py
2025-07-24T04:00:25.8960770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/containers.py
2025-07-24T04:00:25.8962290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_emoji_replace.py
2025-07-24T04:00:25.8963690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/traceback.py
2025-07-24T04:00:25.8964940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/region.py
2025-07-24T04:00:25.8966290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/protocol.py
2025-07-24T04:00:25.8967540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_loop.py
2025-07-24T04:00:25.8968970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/control.py
2025-07-24T04:00:25.8970420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/filesize.py
2025-07-24T04:00:25.8971740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_null_file.py
2025-07-24T04:00:25.8973040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_palettes.py
2025-07-24T04:00:25.8974340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__init__.py
2025-07-24T04:00:25.8975570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_pick.py
2025-07-24T04:00:25.8976900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/file_proxy.py
2025-07-24T04:00:25.8978770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/highlighter.cpython-313.pyc
2025-07-24T04:00:25.8980520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_emoji_replace.cpython-313.pyc
2025-07-24T04:00:25.8982030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/segment.cpython-313.pyc
2025-07-24T04:00:25.8983770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/color.cpython-313.pyc
2025-07-24T04:00:25.8985550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/markdown.cpython-313.pyc
2025-07-24T04:00:25.8986820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/theme.cpython-313.pyc
2025-07-24T04:00:25.8988510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_windows.cpython-313.pyc
2025-07-24T04:00:25.8989920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/constrain.cpython-313.pyc
2025-07-24T04:00:25.8991610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/rule.cpython-313.pyc
2025-07-24T04:00:25.8993210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/containers.cpython-313.pyc
2025-07-24T04:00:25.8994760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/cells.cpython-313.pyc
2025-07-24T04:00:25.8996190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/ansi.cpython-313.pyc
2025-07-24T04:00:25.8997950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/file_proxy.cpython-313.pyc
2025-07-24T04:00:25.8999730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_ratio.cpython-313.pyc
2025-07-24T04:00:25.9001350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/layout.cpython-313.pyc
2025-07-24T04:00:25.9003080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_emoji_codes.cpython-313.pyc
2025-07-24T04:00:25.9004550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/scope.cpython-313.pyc
2025-07-24T04:00:25.9006120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/abc.cpython-313.pyc
2025-07-24T04:00:25.9007670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/pretty.cpython-313.pyc
2025-07-24T04:00:25.9009480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_loop.cpython-313.pyc
2025-07-24T04:00:25.9011090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/logging.cpython-313.pyc
2025-07-24T04:00:25.9012840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_cell_widths.cpython-313.pyc
2025-07-24T04:00:25.9014680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/terminal_theme.cpython-313.pyc
2025-07-24T04:00:25.9016220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_palettes.cpython-313.pyc
2025-07-24T04:00:25.9017690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/style.cpython-313.pyc
2025-07-24T04:00:25.9019370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_log_render.cpython-313.pyc
2025-07-24T04:00:25.9020920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/filesize.cpython-313.pyc
2025-07-24T04:00:25.9022590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/live_render.cpython-313.pyc
2025-07-24T04:00:25.9024080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/text.cpython-313.pyc
2025-07-24T04:00:25.9025690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_fileno.cpython-313.pyc
2025-07-24T04:00:25.9027420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/prompt.cpython-313.pyc
2025-07-24T04:00:25.9029030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/progress.cpython-313.pyc
2025-07-24T04:00:25.9030430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/errors.cpython-313.pyc
2025-07-24T04:00:25.9031840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/bar.cpython-313.pyc
2025-07-24T04:00:25.9033500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_spinners.cpython-313.pyc
2025-07-24T04:00:25.9035040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/default_styles.cpython-313.pyc
2025-07-24T04:00:25.9036730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/status.cpython-313.pyc
2025-07-24T04:00:25.9038460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/repr.cpython-313.pyc
2025-07-24T04:00:25.9040080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/tree.cpython-313.pyc
2025-07-24T04:00:25.9041820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_extension.cpython-313.pyc
2025-07-24T04:00:25.9043360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/measure.cpython-313.pyc
2025-07-24T04:00:25.9044900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/screen.cpython-313.pyc
2025-07-24T04:00:25.9046570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/palette.cpython-313.pyc
2025-07-24T04:00:25.9048110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/region.cpython-313.pyc
2025-07-24T04:00:25.9049600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/themes.cpython-313.pyc
2025-07-24T04:00:25.9051160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/emoji.cpython-313.pyc
2025-07-24T04:00:25.9052760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_stack.cpython-313.pyc
2025-07-24T04:00:25.9054410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/control.cpython-313.pyc
2025-07-24T04:00:25.9056030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_inspect.cpython-313.pyc
2025-07-24T04:00:25.9057530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/syntax.cpython-313.pyc
2025-07-24T04:00:25.9059050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/panel.cpython-313.pyc
2025-07-24T04:00:25.9060570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/table.cpython-313.pyc
2025-07-24T04:00:25.9062120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_wrap.cpython-313.pyc
2025-07-24T04:00:25.9063800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/live.cpython-313.pyc
2025-07-24T04:00:25.9065240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/align.cpython-313.pyc
2025-07-24T04:00:25.9066640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/jupyter.cpython-313.pyc
2025-07-24T04:00:25.9067950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/markup.cpython-313.pyc
2025-07-24T04:00:25.9069400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_windows_renderer.cpython-313.pyc
2025-07-24T04:00:25.9080290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/protocol.cpython-313.pyc
2025-07-24T04:00:25.9081020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_pick.cpython-313.pyc
2025-07-24T04:00:25.9081730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_timer.cpython-313.pyc
2025-07-24T04:00:25.9082460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/spinner.cpython-313.pyc
2025-07-24T04:00:25.9083180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/styled.cpython-313.pyc
2025-07-24T04:00:25.9083900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/json.cpython-313.pyc
2025-07-24T04:00:25.9084640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_export_format.cpython-313.pyc
2025-07-24T04:00:25.9085380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/pager.cpython-313.pyc
2025-07-24T04:00:25.9086110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/progress_bar.cpython-313.pyc
2025-07-24T04:00:25.9086850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__main__.cpython-313.pyc
2025-07-24T04:00:25.9087560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/box.cpython-313.pyc
2025-07-24T04:00:25.9088280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/columns.cpython-313.pyc
2025-07-24T04:00:25.9089000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/diagnose.cpython-313.pyc
2025-07-24T04:00:25.9089720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:25.9090450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/traceback.cpython-313.pyc
2025-07-24T04:00:25.9091180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_null_file.cpython-313.pyc
2025-07-24T04:00:25.9092230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_win32_console.cpython-313.pyc
2025-07-24T04:00:25.9093590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/console.cpython-313.pyc
2025-07-24T04:00:25.9095040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/color_triplet.cpython-313.pyc
2025-07-24T04:00:25.9096320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/padding.cpython-313.pyc
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2025-07-24T04:00:25.9491420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/clamTheme.tcl
2025-07-24T04:00:25.9492370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/aquaTheme.tcl
2025-07-24T04:00:25.9493180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/xpTheme.tcl
2025-07-24T04:00:25.9494050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/entry.tcl
2025-07-24T04:00:25.9495030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/notebook.tcl
2025-07-24T04:00:25.9496250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/fonts.tcl
2025-07-24T04:00:25.9497320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/vistaTheme.tcl
2025-07-24T04:00:25.9498510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/altTheme.tcl
2025-07-24T04:00:25.9499680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/combobox.tcl
2025-07-24T04:00:25.9500710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/winTheme.tcl
2025-07-24T04:00:25.9501880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/scale.tcl
2025-07-24T04:00:25.9503130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/menubutton.tcl
2025-07-24T04:00:25.9504240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/progress.tcl
2025-07-24T04:00:25.9505430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/ttk/cursors.tcl
2025-07-24T04:00:25.9506540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/obsolete.tcl
2025-07-24T04:00:25.9507550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/mkpsenc.tcl
2025-07-24T04:00:25.9508800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/logoMed.gif
2025-07-24T04:00:25.9509940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/logo.eps
2025-07-24T04:00:25.9511180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo150.gif
2025-07-24T04:00:25.9512360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/tai-ku.gif
2025-07-24T04:00:25.9513420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/README
2025-07-24T04:00:25.9514650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo.eps
2025-07-24T04:00:25.9515850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo200.gif
2025-07-24T04:00:25.9517000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/logoLarge.gif
2025-07-24T04:00:25.9518140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo175.gif
2025-07-24T04:00:25.9519330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo75.gif
2025-07-24T04:00:25.9520520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/pwrdLogo100.gif
2025-07-24T04:00:25.9521670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/logo100.gif
2025-07-24T04:00:25.9522920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/images/logo64.gif
2025-07-24T04:00:25.9523950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/spinbox.tcl
2025-07-24T04:00:25.9525060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/unsupported.tcl
2025-07-24T04:00:25.9526220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/clrpick.tcl
2025-07-24T04:00:25.9527320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/entry.tcl
2025-07-24T04:00:25.9528490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/console.tcl
2025-07-24T04:00:25.9529470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/icons.tcl
2025-07-24T04:00:25.9530800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/choosedir.tcl
2025-07-24T04:00:25.9531920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/menu.tcl
2025-07-24T04:00:25.9532940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/dialog.tcl
2025-07-24T04:00:25.9533930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/comdlg.tcl
2025-07-24T04:00:25.9534910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/tclIndex
2025-07-24T04:00:25.9535960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/pl.msg
2025-07-24T04:00:25.9537050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/el.msg
2025-07-24T04:00:25.9538190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/sv.msg
2025-07-24T04:00:25.9539180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/en.msg
2025-07-24T04:00:25.9540230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/eo.msg
2025-07-24T04:00:25.9541320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/ru.msg
2025-07-24T04:00:25.9542410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/fr.msg
2025-07-24T04:00:25.9543480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/nl.msg
2025-07-24T04:00:25.9544570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/cs.msg
2025-07-24T04:00:25.9545650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/en_gb.msg
2025-07-24T04:00:25.9546730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/es.msg
2025-07-24T04:00:25.9547850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/hu.msg
2025-07-24T04:00:25.9548870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/da.msg
2025-07-24T04:00:25.9549970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/fi.msg
2025-07-24T04:00:25.9550960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/zh_cn.msg
2025-07-24T04:00:25.9552060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/pt.msg
2025-07-24T04:00:25.9553090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/de.msg
2025-07-24T04:00:25.9554150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/msgs/it.msg
2025-07-24T04:00:25.9555250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/tearoff.tcl
2025-07-24T04:00:25.9556350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/pkgIndex.tcl
2025-07-24T04:00:25.9557380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/tkAppInit.c
2025-07-24T04:00:25.9558380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/bgerror.tcl
2025-07-24T04:00:25.9559490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/scrlbar.tcl
2025-07-24T04:00:25.9560450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/safetk.tcl
2025-07-24T04:00:25.9561660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/iconlist.tcl
2025-07-24T04:00:25.9562680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/optMenu.tcl
2025-07-24T04:00:25.9563730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/xmfbox.tcl
2025-07-24T04:00:25.9564870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/listbox.tcl
2025-07-24T04:00:25.9565930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/focus.tcl
2025-07-24T04:00:25.9567050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/style.tcl
2025-07-24T04:00:25.9568220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/bitmap.tcl
2025-07-24T04:00:25.9569490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/aniwave.tcl
2025-07-24T04:00:25.9570600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/bind.tcl
2025-07-24T04:00:25.9571820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/image1.tcl
2025-07-24T04:00:25.9572910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/textpeer.tcl
2025-07-24T04:00:25.9574130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/msgbox.tcl
2025-07-24T04:00:25.9575190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/button.tcl
2025-07-24T04:00:25.9576260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/en.msg
2025-07-24T04:00:25.9577340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/text.tcl
2025-07-24T04:00:25.9578490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/image2.tcl
2025-07-24T04:00:25.9579620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/paned2.tcl
2025-07-24T04:00:25.9580760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/filebox.tcl
2025-07-24T04:00:25.9582060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/sayings.tcl
2025-07-24T04:00:25.9583280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/plot.tcl
2025-07-24T04:00:25.9584440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkscale.tcl
2025-07-24T04:00:25.9585690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/goldberg.tcl
2025-07-24T04:00:25.9586810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/widget
2025-07-24T04:00:25.9587930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkprogress.tcl
2025-07-24T04:00:25.9589050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/paned1.tcl
2025-07-24T04:00:25.9590100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttknote.tcl
2025-07-24T04:00:25.9591190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/form.tcl
2025-07-24T04:00:25.9592430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/flagup.xbm
2025-07-24T04:00:25.9593800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/letters.xbm
2025-07-24T04:00:25.9595030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earthris.gif
2025-07-24T04:00:25.9596520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/gray25.xbm
2025-07-24T04:00:25.9598050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earthmenu.png
2025-07-24T04:00:25.9599290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/ouster.png
2025-07-24T04:00:25.9600470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/noletter.xbm
2025-07-24T04:00:25.9601750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/teapot.ppm
2025-07-24T04:00:25.9602910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/pattern.xbm
2025-07-24T04:00:25.9604040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/tcllogo.gif
2025-07-24T04:00:25.9605300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/flagdown.xbm
2025-07-24T04:00:25.9606460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earth.gif
2025-07-24T04:00:25.9607510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tree.tcl
2025-07-24T04:00:25.9608650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/floor.tcl
2025-07-24T04:00:25.9609720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/clrpick.tcl
2025-07-24T04:00:25.9610790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/spin.tcl
2025-07-24T04:00:25.9611850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/timer
2025-07-24T04:00:25.9613040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkpane.tcl
2025-07-24T04:00:25.9614300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/fontchoose.tcl
2025-07-24T04:00:25.9615430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/dialog1.tcl
2025-07-24T04:00:25.9616700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/license.terms
2025-07-24T04:00:25.9617810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/nl.msg
2025-07-24T04:00:25.9618940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/dialog2.tcl
2025-07-24T04:00:25.9620130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/twind.tcl
2025-07-24T04:00:25.9621250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/menu.tcl
2025-07-24T04:00:25.9622550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/knightstour.tcl
2025-07-24T04:00:25.9623520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/README
2025-07-24T04:00:25.9624740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/cscroll.tcl
2025-07-24T04:00:25.9625820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/anilabel.tcl
2025-07-24T04:00:25.9626950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ixset
2025-07-24T04:00:25.9628030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/arrow.tcl
2025-07-24T04:00:25.9629240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/toolbar.tcl
2025-07-24T04:00:25.9630150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkmenu.tcl
2025-07-24T04:00:25.9631010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/search.tcl
2025-07-24T04:00:25.9631860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tclIndex
2025-07-24T04:00:25.9632730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ctext.tcl
2025-07-24T04:00:25.9633600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/menubu.tcl
2025-07-24T04:00:25.9634460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/label.tcl
2025-07-24T04:00:25.9635310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tcolor
2025-07-24T04:00:25.9636220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/puzzle.tcl
2025-07-24T04:00:25.9637080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/hscale.tcl
2025-07-24T04:00:25.9637890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/hello
2025-07-24T04:00:25.9638750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/browse
2025-07-24T04:00:25.9639630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkbut.tcl
2025-07-24T04:00:25.9640540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/labelframe.tcl
2025-07-24T04:00:25.9641400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/states.tcl
2025-07-24T04:00:25.9642330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/unicodeout.tcl
2025-07-24T04:00:25.9643240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/rolodex
2025-07-24T04:00:25.9644060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry1.tcl
2025-07-24T04:00:25.9644930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/combo.tcl
2025-07-24T04:00:25.9645800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/check.tcl
2025-07-24T04:00:25.9646690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/pendulum.tcl
2025-07-24T04:00:25.9647570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/mclist.tcl
2025-07-24T04:00:25.9648570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry2.tcl
2025-07-24T04:00:25.9654490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/radio.tcl
2025-07-24T04:00:25.9654700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/colors.tcl
2025-07-24T04:00:25.9654910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/icon.tcl
2025-07-24T04:00:25.9655090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/rmt
2025-07-24T04:00:25.9655270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/items.tcl
2025-07-24T04:00:25.9655470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry3.tcl
2025-07-24T04:00:25.9656090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ruler.tcl
2025-07-24T04:00:25.9657200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/vscale.tcl
2025-07-24T04:00:25.9658270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/scale.tcl
2025-07-24T04:00:25.9659580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/palette.tcl
2025-07-24T04:00:25.9660650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/word.tcl
2025-07-24T04:00:25.9661620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/tm.tcl
2025-07-24T04:00:25.9662530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/clock.tcl
2025-07-24T04:00:25.9663570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/history.tcl
2025-07-24T04:00:25.9664650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp869.enc
2025-07-24T04:00:25.9665790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp855.enc
2025-07-24T04:00:25.9667010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022-jp.enc
2025-07-24T04:00:25.9668130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0201.enc
2025-07-24T04:00:25.9669310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp857.enc
2025-07-24T04:00:25.9670460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macJapan.enc
2025-07-24T04:00:25.9671800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macUkraine.enc
2025-07-24T04:00:25.9673020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp936.enc
2025-07-24T04:00:25.9674200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp932.enc
2025-07-24T04:00:25.9675410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/tis-620.enc
2025-07-24T04:00:25.9676610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp852.enc
2025-07-24T04:00:25.9677960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022-kr.enc
2025-07-24T04:00:25.9679300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macIceland.enc
2025-07-24T04:00:25.9680580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp850.enc
2025-07-24T04:00:25.9681720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0212.enc
2025-07-24T04:00:25.9682920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/symbol.enc
2025-07-24T04:00:25.9684280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macTurkish.enc
2025-07-24T04:00:25.9685530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ascii.enc
2025-07-24T04:00:25.9686660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macGreek.enc
2025-07-24T04:00:25.9687910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb12345.enc
2025-07-24T04:00:25.9689160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-6.enc
2025-07-24T04:00:25.9690370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-7.enc
2025-07-24T04:00:25.9691560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-5.enc
2025-07-24T04:00:25.9692860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-4.enc
2025-07-24T04:00:25.9694090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-1.enc
2025-07-24T04:00:25.9695260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/dingbats.enc
2025-07-24T04:00:25.9696410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp950.enc
2025-07-24T04:00:25.9697660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1258.enc
2025-07-24T04:00:25.9698760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp775.enc
2025-07-24T04:00:25.9700010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-3.enc
2025-07-24T04:00:25.9701240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-2.enc
2025-07-24T04:00:25.9702410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb2312-raw.enc
2025-07-24T04:00:25.9703600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCyrillic.enc
2025-07-24T04:00:25.9704710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1256.enc
2025-07-24T04:00:25.9705920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb1988.enc
2025-07-24T04:00:25.9707130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ebcdic.enc
2025-07-24T04:00:25.9708370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-jp.enc
2025-07-24T04:00:25.9709580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-13.enc
2025-07-24T04:00:25.9710720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ksc5601.enc
2025-07-24T04:00:25.9711890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/big5.enc
2025-07-24T04:00:25.9713170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1257.enc
2025-07-24T04:00:25.9714380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb2312.enc
2025-07-24T04:00:25.9715530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1255.enc
2025-07-24T04:00:25.9716820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp949.enc
2025-07-24T04:00:25.9718080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-11.enc
2025-07-24T04:00:25.9719420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-10.enc
2025-07-24T04:00:25.9720740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1254.enc
2025-07-24T04:00:25.9721840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1250.enc
2025-07-24T04:00:25.9723080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCentEuro.enc
2025-07-24T04:00:25.9724300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-14.enc
2025-07-24T04:00:25.9725580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-9.enc
2025-07-24T04:00:25.9726920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-kr.enc
2025-07-24T04:00:25.9728280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-8.enc
2025-07-24T04:00:25.9729520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-15.enc
2025-07-24T04:00:25.9730670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1251.enc
2025-07-24T04:00:25.9731990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1253.enc
2025-07-24T04:00:25.9733290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-16.enc
2025-07-24T04:00:25.9734370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp437.enc
2025-07-24T04:00:25.9735800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1252.enc
2025-07-24T04:00:25.9736950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/koi8-u.enc
2025-07-24T04:00:25.9738220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macThai.enc
2025-07-24T04:00:25.9739290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/shiftjis.enc
2025-07-24T04:00:25.9740560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp861.enc
2025-07-24T04:00:25.9741850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macRomania.enc
2025-07-24T04:00:25.9743090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp860.enc
2025-07-24T04:00:25.9744200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp874.enc
2025-07-24T04:00:25.9745470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cns11643.enc
2025-07-24T04:00:25.9746620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macRoman.enc
2025-07-24T04:00:25.9747700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0208.enc
2025-07-24T04:00:25.9748910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp862.enc
2025-07-24T04:00:25.9750080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022.enc
2025-07-24T04:00:25.9751360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macDingbats.enc
2025-07-24T04:00:25.9752500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp863.enc
2025-07-24T04:00:25.9753840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp866.enc
2025-07-24T04:00:25.9755030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/koi8-r.enc
2025-07-24T04:00:25.9756210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp737.enc
2025-07-24T04:00:25.9757430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp864.enc
2025-07-24T04:00:25.9758940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCroatian.enc
2025-07-24T04:00:25.9760270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-cn.enc
2025-07-24T04:00:25.9761580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp865.enc
2025-07-24T04:00:25.9762710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/opt0.4/optparse.tcl
2025-07-24T04:00:25.9763880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/opt0.4/pkgIndex.tcl
2025-07-24T04:00:25.9764930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/tclIndex
2025-07-24T04:00:25.9766030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kok.msg
2025-07-24T04:00:25.9767230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sw.msg
2025-07-24T04:00:25.9768330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/pl.msg
2025-07-24T04:00:25.9769510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fa.msg
2025-07-24T04:00:25.9770700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/de_at.msg
2025-07-24T04:00:25.9771890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_bo.msg
2025-07-24T04:00:25.9772790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/el.msg
2025-07-24T04:00:25.9774050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sv.msg
2025-07-24T04:00:25.9775120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gl_es.msg
2025-07-24T04:00:25.9776160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_bw.msg
2025-07-24T04:00:25.9777260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr_ca.msg
2025-07-24T04:00:25.9778340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr_be.msg
2025-07-24T04:00:25.9779560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/hi.msg
2025-07-24T04:00:25.9780730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ja.msg
2025-07-24T04:00:25.9781720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/eo.msg
2025-07-24T04:00:25.9782870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/pt_br.msg
2025-07-24T04:00:25.9784070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/bn_in.msg
2025-07-24T04:00:25.9785220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ru_ua.msg
2025-07-24T04:00:25.9786340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_ca.msg
2025-07-24T04:00:25.9787540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_be.msg
2025-07-24T04:00:25.9788710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sq.msg
2025-07-24T04:00:25.9789920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ru.msg
2025-07-24T04:00:25.9791040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_cl.msg
2025-07-24T04:00:25.9792150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kw.msg
2025-07-24T04:00:25.9793390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_ar.msg
2025-07-24T04:00:25.9794590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_in.msg
2025-07-24T04:00:25.9795780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_zw.msg
2025-07-24T04:00:25.9796960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sr.msg
2025-07-24T04:00:25.9798150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/it_ch.msg
2025-07-24T04:00:25.9799200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_co.msg
2025-07-24T04:00:25.9800270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gv.msg
2025-07-24T04:00:25.9801250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr.msg
2025-07-24T04:00:25.9802390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ga.msg
2025-07-24T04:00:25.9803460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_ni.msg
2025-07-24T04:00:25.9804560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_za.msg
2025-07-24T04:00:25.9805710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/af.msg
2025-07-24T04:00:25.9806850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_hn.msg
2025-07-24T04:00:25.9807920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/lv.msg
2025-07-24T04:00:25.9809060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mr.msg
2025-07-24T04:00:25.9810170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ms.msg
2025-07-24T04:00:25.9811310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar.msg
2025-07-24T04:00:25.9812460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_do.msg
2025-07-24T04:00:25.9813620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_gt.msg
2025-07-24T04:00:25.9814620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/lt.msg
2025-07-24T04:00:25.9815630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/te.msg
2025-07-24T04:00:25.9816710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/tr.msg
2025-07-24T04:00:25.9817790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_ie.msg
2025-07-24T04:00:25.9818950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nl_be.msg
2025-07-24T04:00:25.9820000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_py.msg
2025-07-24T04:00:25.9821000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ta.msg
2025-07-24T04:00:25.9822060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/vi.msg
2025-07-24T04:00:25.9823160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mt.msg
2025-07-24T04:00:25.9824250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nn.msg
2025-07-24T04:00:25.9825360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_sv.msg
2025-07-24T04:00:25.9826480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nl.msg
2025-07-24T04:00:25.9827560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/bn.msg
2025-07-24T04:00:25.9828780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_lb.msg
2025-07-24T04:00:25.9829850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/zh.msg
2025-07-24T04:00:25.9830910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fa_in.msg
2025-07-24T04:00:25.9831780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ko_kr.msg
2025-07-24T04:00:25.9832630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_in.msg
2025-07-24T04:00:25.9833510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_pa.msg
2025-07-24T04:00:25.9834370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/te_in.msg
2025-07-24T04:00:25.9835180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/uk.msg
2025-07-24T04:00:25.9836070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_hk.msg
2025-07-24T04:00:25.9837030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/zh_hk.msg
2025-07-24T04:00:25.9837820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ga_ie.msg
2025-07-24T04:00:25.9838640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/cs.msg
2025-07-24T04:00:25.9839510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_ec.msg
2025-07-24T04:00:25.9840350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nb.msg
2025-07-24T04:00:25.9841220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/hi_in.msg
2025-07-24T04:00:25.9842070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/af_za.msg
2025-07-24T04:00:25.9842920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fo_fo.msg
2025-07-24T04:00:25.9843800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fa_ir.msg
2025-07-24T04:00:25.9844620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/th.msg
2025-07-24T04:00:25.9845450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ca.msg
2025-07-24T04:00:25.9846370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/be.msg
2025-07-24T04:00:25.9847140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mk.msg
2025-07-24T04:00:25.9848040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kok_in.msg
2025-07-24T04:00:25.9848880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_gb.msg
2025-07-24T04:00:25.9849750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_sg.msg
2025-07-24T04:00:25.9850590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/zh_sg.msg
2025-07-24T04:00:25.9851450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kw_gb.msg
2025-07-24T04:00:25.9852290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/bg.msg
2025-07-24T04:00:25.9853160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_pe.msg
2025-07-24T04:00:25.9854000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_pr.msg
2025-07-24T04:00:25.9854860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_ph.msg
2025-07-24T04:00:25.9855700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ms_my.msg
2025-07-24T04:00:25.9856580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_uy.msg
2025-07-24T04:00:25.9857420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mr_in.msg
2025-07-24T04:00:25.9858270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gv_gb.msg
2025-07-24T04:00:25.9859160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_sy.msg
2025-07-24T04:00:25.9859960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gl.msg
2025-07-24T04:00:25.9860790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es.msg
2025-07-24T04:00:25.9861660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ko.msg
2025-07-24T04:00:25.9862480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/hu.msg
2025-07-24T04:00:25.9863310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/da.msg
2025-07-24T04:00:25.9864180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fi.msg
2025-07-24T04:00:25.9865010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sh.msg
2025-07-24T04:00:25.9865880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr_ch.msg
2025-07-24T04:00:25.9866810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_jo.msg
2025-07-24T04:00:25.9867580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/is.msg
2025-07-24T04:00:25.9868410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kl.msg
2025-07-24T04:00:25.9869280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/de_be.msg
2025-07-24T04:00:25.9870130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/id.msg
2025-07-24T04:00:25.9870950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sk.msg
2025-07-24T04:00:25.9871790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ro.msg
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2025-07-24T04:00:26.0763780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/a210
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2025-07-24T04:00:26.0766240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610+cvis
2025-07-24T04:00:26.0767490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-videx3
2025-07-24T04:00:26.0768700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alacritty
2025-07-24T04:00:26.0769920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415
2025-07-24T04:00:26.0771090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-s
2025-07-24T04:00:26.0772150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-mono
2025-07-24T04:00:26.0773380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+pp
2025-07-24T04:00:26.0774470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-28
2025-07-24T04:00:26.0775600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+idl
2025-07-24T04:00:26.0776820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60-s-rv
2025-07-24T04:00:26.0777940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att513
2025-07-24T04:00:26.0779100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4424
2025-07-24T04:00:26.0780260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-rv-ns
2025-07-24T04:00:26.0781470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-26
2025-07-24T04:00:26.0782590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att510d
2025-07-24T04:00:26.0783760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ap-vm80
2025-07-24T04:00:26.0784930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att620-103k-w
2025-07-24T04:00:26.0786080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo_19L
2025-07-24T04:00:26.0787150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w
2025-07-24T04:00:26.0788320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos3
2025-07-24T04:00:26.0789600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansil-mono
2025-07-24T04:00:26.0790680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos4
2025-07-24T04:00:26.0791970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x30-mono
2025-07-24T04:00:26.0793120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+cpr
2025-07-24T04:00:26.0794450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-rv
2025-07-24T04:00:26.0795570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apl
2025-07-24T04:00:26.0796760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w-rv
2025-07-24T04:00:26.0797890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-4
2025-07-24T04:00:26.0798910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-3
2025-07-24T04:00:26.0800110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620
2025-07-24T04:00:26.0801440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari_st
2025-07-24T04:00:26.0802460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aa4080
2025-07-24T04:00:26.0803710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alto-heath
2025-07-24T04:00:26.0804820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt2
2025-07-24T04:00:26.0805850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aj
2025-07-24T04:00:26.0807070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt5
2025-07-24T04:00:26.0808340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x25-raw
2025-07-24T04:00:26.0809380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos5
2025-07-24T04:00:26.0810700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aas1901
2025-07-24T04:00:26.0811830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt
2025-07-24T04:00:26.0812740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/awsc
2025-07-24T04:00:26.0813620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-unk
2025-07-24T04:00:26.0814470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos2
2025-07-24T04:00:26.0815370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple2e
2025-07-24T04:00:26.0816250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4424m
2025-07-24T04:00:26.0817130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+csr
2025-07-24T04:00:26.0818070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-generic
2025-07-24T04:00:26.0819030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/addsviewpoint
2025-07-24T04:00:26.0819910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60-s
2025-07-24T04:00:26.0820830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo+vt132
2025-07-24T04:00:26.0821690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt4
2025-07-24T04:00:26.0822590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w
2025-07-24T04:00:26.0823520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-24-rv
2025-07-24T04:00:26.0824360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt3
2025-07-24T04:00:26.0825260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5425
2025-07-24T04:00:26.0826140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att630
2025-07-24T04:00:26.0827020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgr
2025-07-24T04:00:26.0827930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+cup
2025-07-24T04:00:26.0828780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-2
2025-07-24T04:00:26.0829690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w
2025-07-24T04:00:26.0830540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-rv
2025-07-24T04:00:26.0831520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-ctxt
2025-07-24T04:00:26.0832290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt+s
2025-07-24T04:00:26.0833170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex175
2025-07-24T04:00:26.0834040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-5
2025-07-24T04:00:26.0834920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amp219
2025-07-24T04:00:26.0835770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm42
2025-07-24T04:00:26.0836670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att505-24
2025-07-24T04:00:26.0837560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-s-rv
2025-07-24T04:00:26.0838430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm1a
2025-07-24T04:00:26.0839300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615
2025-07-24T04:00:26.0840190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-emx
2025-07-24T04:00:26.0841110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrbold
2025-07-24T04:00:26.0842040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrul
2025-07-24T04:00:26.0842870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm20
2025-07-24T04:00:26.0843850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x60-mono
2025-07-24T04:00:26.0844780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-103k
2025-07-24T04:00:26.0845600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari
2025-07-24T04:00:26.0846510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari-old
2025-07-24T04:00:26.0847410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansiterm
2025-07-24T04:00:26.0848330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4410v1
2025-07-24T04:00:26.0849160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm11
2025-07-24T04:00:26.0850100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5418-w
2025-07-24T04:00:26.0850970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5430
2025-07-24T04:00:26.0851880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-rv-ns
2025-07-24T04:00:26.0852790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrso
2025-07-24T04:00:26.0853640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi
2025-07-24T04:00:26.0854540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att505-22
2025-07-24T04:00:26.0855380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/a80
2025-07-24T04:00:26.0856290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att605-pc
2025-07-24T04:00:26.0857140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm21
2025-07-24T04:00:26.0858040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-w
2025-07-24T04:00:26.0858910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm42-ns
2025-07-24T04:00:26.0859830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+rca2
2025-07-24T04:00:26.0860740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att500
2025-07-24T04:00:26.0861570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100
2025-07-24T04:00:26.0862410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm5
2025-07-24T04:00:26.0863340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amiga-8bit
2025-07-24T04:00:26.0864240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ambassador
2025-07-24T04:00:26.0865080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm2
2025-07-24T04:00:26.0865970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att2350
2025-07-24T04:00:26.0866960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-color-2-emx
2025-07-24T04:00:26.0867840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansis-mono
2025-07-24T04:00:26.0868820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-color-3-emx
2025-07-24T04:00:26.0869750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620-24
2025-07-24T04:00:26.0870630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altoheath
2025-07-24T04:00:26.0871540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610+cvis0
2025-07-24T04:00:26.0872430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansisysk
2025-07-24T04:00:26.0873310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi43m
2025-07-24T04:00:26.0874200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4418-w
2025-07-24T04:00:26.0875120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420+nl
2025-07-24T04:00:26.0876000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple2e-p
2025-07-24T04:00:26.0876930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo_color
2025-07-24T04:00:26.0877810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730r-41
2025-07-24T04:00:26.0878710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5410v1
2025-07-24T04:00:26.0879610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-mtabs
2025-07-24T04:00:26.0880540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w-nl
2025-07-24T04:00:26.0881360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm3
2025-07-24T04:00:26.0882270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atarist-m
2025-07-24T04:00:26.0883230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-103k-w
2025-07-24T04:00:26.0884140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-s-rv
2025-07-24T04:00:26.0885080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrdim
2025-07-24T04:00:26.0886050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-uterm-vb
2025-07-24T04:00:26.0886880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex80
2025-07-24T04:00:26.0887810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730r-24
2025-07-24T04:00:26.0888680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-w
2025-07-24T04:00:26.0889560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex219
2025-07-24T04:00:26.0890430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/addrinfo
2025-07-24T04:00:26.0891350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60
2025-07-24T04:00:26.0892450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x25
2025-07-24T04:00:26.0893340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa+dec
2025-07-24T04:00:26.0894210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex210
2025-07-24T04:00:26.0895100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex219w
2025-07-24T04:00:26.0895990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-am
2025-07-24T04:00:26.0896860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-ns
2025-07-24T04:00:26.0897830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w-rv-n
2025-07-24T04:00:26.0898690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-ae
2025-07-24T04:00:26.0899620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615-103k-w
2025-07-24T04:00:26.0900510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+erase
2025-07-24T04:00:26.0901380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att510a
2025-07-24T04:00:26.0902250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4426
2025-07-24T04:00:26.0903150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att630-24
2025-07-24T04:00:26.0904060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altoh19
2025-07-24T04:00:26.0904870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa
2025-07-24T04:00:26.0905740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-24
2025-07-24T04:00:26.0906670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-uterm
2025-07-24T04:00:26.0907560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+rep
2025-07-24T04:00:26.0908400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-rv
2025-07-24T04:00:26.0909300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alto-h19
2025-07-24T04:00:26.0910270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-rv-ctxt
2025-07-24T04:00:26.0911200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari_st-color
2025-07-24T04:00:26.0912070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansis
2025-07-24T04:00:26.0912910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/abm80
2025-07-24T04:00:26.0913830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x50
2025-07-24T04:00:26.0914710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615-w
2025-07-24T04:00:26.0915610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4410
2025-07-24T04:00:26.0916550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aixterm-m-old
2025-07-24T04:00:26.0917450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4425-nl
2025-07-24T04:00:26.0918330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt7pc
2025-07-24T04:00:26.0919180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-48
2025-07-24T04:00:26.0920090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+idc1
2025-07-24T04:00:26.0921040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+tabs
2025-07-24T04:00:26.0921860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/appleII
2025-07-24T04:00:26.0922850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alacritty-direct
2025-07-24T04:00:26.0923690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aj832
2025-07-24T04:00:26.0924650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+local1
2025-07-24T04:00:26.0929970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/abm85h-old
2025-07-24T04:00:26.0930350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aixterm+sl
2025-07-24T04:00:26.0930570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex-219w
2025-07-24T04:00:26.0930770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari-m
2025-07-24T04:00:26.0930980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avatar0+
2025-07-24T04:00:26.0931180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x60
2025-07-24T04:00:26.0931390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4424-1
2025-07-24T04:00:26.0931720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+rca
2025-07-24T04:00:26.0932610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4420
2025-07-24T04:00:26.0933550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4418
2025-07-24T04:00:26.0934360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-22
2025-07-24T04:00:26.0935230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aepro
2025-07-24T04:00:26.0936150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-nl
2025-07-24T04:00:26.0937070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5410v1-w
2025-07-24T04:00:26.0937980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620-34
2025-07-24T04:00:26.0938930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w-rv-n
2025-07-24T04:00:26.0939850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-48-rv
2025-07-24T04:00:26.0940780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo
2025-07-24T04:00:26.0941690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-mini
2025-07-24T04:00:26.0942550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-40
2025-07-24T04:00:26.0943490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+enq
2025-07-24T04:00:26.0944330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/abm85h
2025-07-24T04:00:26.0945290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/annarbor4080
2025-07-24T04:00:26.0946160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-nt
2025-07-24T04:00:26.0947080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-rv
2025-07-24T04:00:26.0947980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-rv
2025-07-24T04:00:26.0948910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420
2025-07-24T04:00:26.0949790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi77
2025-07-24T04:00:26.0950740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-mr
2025-07-24T04:00:26.0951580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5418
2025-07-24T04:00:26.0952460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm3a
2025-07-24T04:00:26.0953420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x43-mono
2025-07-24T04:00:26.0954330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620-1
2025-07-24T04:00:26.0955260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari-color
2025-07-24T04:00:26.0956200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-s-ctxt
2025-07-24T04:00:26.0957110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi.sys
2025-07-24T04:00:26.0957970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-s
2025-07-24T04:00:26.0958830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos7
2025-07-24T04:00:26.0959740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-18-rv
2025-07-24T04:00:26.0960590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm31
2025-07-24T04:00:26.0961550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w-nl
2025-07-24T04:00:26.0962430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620-s
2025-07-24T04:00:26.0963280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm36
2025-07-24T04:00:26.0964150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avatar
2025-07-24T04:00:26.0965030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amiga
2025-07-24T04:00:26.0965950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo_15P
2025-07-24T04:00:26.0966780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt7
2025-07-24T04:00:26.0967680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-rv-s
2025-07-24T04:00:26.0968590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730-41
2025-07-24T04:00:26.0969500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420_2-w
2025-07-24T04:00:26.0970380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att605-w
2025-07-24T04:00:26.0971260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att605
2025-07-24T04:00:26.0972220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60-dec-rv
2025-07-24T04:00:26.0973070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5410
2025-07-24T04:00:26.0973960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos7pc
2025-07-24T04:00:26.0974840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm1178
2025-07-24T04:00:26.0975740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/absolute
2025-07-24T04:00:26.0976630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex-219
2025-07-24T04:00:26.0977480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/at
2025-07-24T04:00:26.0978360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm+sgr
2025-07-24T04:00:26.0979270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att620-w
2025-07-24T04:00:26.0980120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-s
2025-07-24T04:00:26.0981030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aj510
2025-07-24T04:00:26.0981890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730-24
2025-07-24T04:00:26.0982770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex-232
2025-07-24T04:00:26.0983610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aws
2025-07-24T04:00:26.0984520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att7300
2025-07-24T04:00:26.0985370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm3a+
2025-07-24T04:00:26.0986250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avatar0
2025-07-24T04:00:26.0987110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm12
2025-07-24T04:00:26.0988040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-rv
2025-07-24T04:00:26.0988920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730r
2025-07-24T04:00:26.0989870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi.sys-old
2025-07-24T04:00:26.0990690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/a980
2025-07-24T04:00:26.0991580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att620
2025-07-24T04:00:26.0992550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-videx
2025-07-24T04:00:26.0993450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi.sysk
2025-07-24T04:00:26.0994300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amp219w
2025-07-24T04:00:26.0995310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex175-b
2025-07-24T04:00:26.0996500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x25-mono
2025-07-24T04:00:26.0997140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm31-old
2025-07-24T04:00:26.0998100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avatar1
2025-07-24T04:00:26.0999470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-80
2025-07-24T04:00:26.1000710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-db
2025-07-24T04:00:26.1001990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amiga-vnc
2025-07-24T04:00:26.1003370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-rv-nl
2025-07-24T04:00:26.1004560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm22
2025-07-24T04:00:26.1005760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610
2025-07-24T04:00:26.1007030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adds980
2025-07-24T04:00:26.1008270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple80p
2025-07-24T04:00:26.1009450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5410-w
2025-07-24T04:00:26.1010650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+inittabs
2025-07-24T04:00:26.1011850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+local
2025-07-24T04:00:26.1013110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5425-nl
2025-07-24T04:00:26.1014120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aterm
2025-07-24T04:00:26.1015390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/at-m
2025-07-24T04:00:26.1016740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4425-w
2025-07-24T04:00:26.1017900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5425-w
2025-07-24T04:00:26.1019210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-rv-ctxt
2025-07-24T04:00:26.1020350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att2300
2025-07-24T04:00:26.1021470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-ns
2025-07-24T04:00:26.1022650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5310
2025-07-24T04:00:26.1023900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4410-w
2025-07-24T04:00:26.1025050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-36-rv
2025-07-24T04:00:26.1026090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/act4
2025-07-24T04:00:26.1027270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-rv-s
2025-07-24T04:00:26.1028380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aixterm-m
2025-07-24T04:00:26.1029580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm1
2025-07-24T04:00:26.1030820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amiga-h
2025-07-24T04:00:26.1032100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615-103k
2025-07-24T04:00:26.1033190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ambas
2025-07-24T04:00:26.1034330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/at386
2025-07-24T04:00:26.1035460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/appleIIe
2025-07-24T04:00:26.1036560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att700
2025-07-24T04:00:26.1037770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-36
2025-07-24T04:00:26.1038960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w-rv
2025-07-24T04:00:26.1040360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-wam
2025-07-24T04:00:26.1041430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/act5
2025-07-24T04:00:26.1042740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/appleIIgs
2025-07-24T04:00:26.1043940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/addsvp60
2025-07-24T04:00:26.1045050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-s
2025-07-24T04:00:26.1046180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5320
2025-07-24T04:00:26.1047330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-s-ctxt
2025-07-24T04:00:26.1048510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa+unk
2025-07-24T04:00:26.1049640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-m
2025-07-24T04:00:26.1050760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adds200
2025-07-24T04:00:26.1052090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-s-rv-ct
2025-07-24T04:00:26.1053200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/appleIIc
2025-07-24T04:00:26.1054410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30
2025-07-24T04:00:26.1055670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/at-color
2025-07-24T04:00:26.1056620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730
2025-07-24T04:00:26.1057950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x43
2025-07-24T04:00:26.1059140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-nl
2025-07-24T04:00:26.1060250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att505
2025-07-24T04:00:26.1061450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+arrows
2025-07-24T04:00:26.1062660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aixterm
2025-07-24T04:00:26.1063810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f200vi-w
2025-07-24T04:00:26.1064910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f200vi
2025-07-24T04:00:26.1066150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f200
2025-07-24T04:00:26.1067320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fenixw
2025-07-24T04:00:26.1068420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/falco-p
2025-07-24T04:00:26.1069400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fox
2025-07-24T04:00:26.1070630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/foot
2025-07-24T04:00:26.1071830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom
2025-07-24T04:00:26.1072980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f100
2025-07-24T04:00:26.1074120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fbterm
2025-07-24T04:00:26.1075350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom110
2025-07-24T04:00:26.1076420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f110-14w
2025-07-24T04:00:26.1077540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f110-w
2025-07-24T04:00:26.1078640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f1720
2025-07-24T04:00:26.1079790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/foot+base
2025-07-24T04:00:26.1080950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fixterm
2025-07-24T04:00:26.1082080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom100
2025-07-24T04:00:26.1083160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f200-w
2025-07-24T04:00:26.1084270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fos
2025-07-24T04:00:26.1085520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/foot-direct
2025-07-24T04:00:26.1086700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f110
2025-07-24T04:00:26.1087760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fenix
2025-07-24T04:00:26.1088880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/falco
2025-07-24T04:00:26.1090030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f110-14
2025-07-24T04:00:26.1091220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom-rv
2025-07-24T04:00:26.1092470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f100-rv
2025-07-24T04:00:26.1093680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom200
2025-07-24T04:00:26.1094970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f1720a
2025-07-24T04:00:26.1096110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/fortune
2025-07-24T04:00:26.1097120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P4
2025-07-24T04:00:26.1098250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P14-W
2025-07-24T04:00:26.1099350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P14-M
2025-07-24T04:00:26.1100990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P5
2025-07-24T04:00:26.1102210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P9-8-W
2025-07-24T04:00:26.1103320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P9-8
2025-07-24T04:00:26.1104400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P8-W
2025-07-24T04:00:26.1105560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12-M
2025-07-24T04:00:26.1106650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P7
2025-07-24T04:00:26.1107780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P9
2025-07-24T04:00:26.1108910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P8
2025-07-24T04:00:26.1109990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12-M-W
2025-07-24T04:00:26.1111220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12-W
2025-07-24T04:00:26.1112530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P9-W
2025-07-24T04:00:26.1113610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P14
2025-07-24T04:00:26.1114810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P14-M-W
2025-07-24T04:00:26.1115950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12
2025-07-24T04:00:26.1117090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp236
2025-07-24T04:00:26.1118300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19us
2025-07-24T04:00:26.1119400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h-100
2025-07-24T04:00:26.1120600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-nt
2025-07-24T04:00:26.1121790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621b-kx-p
2025-07-24T04:00:26.1122920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h100
2025-07-24T04:00:26.1123950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19a
2025-07-24T04:00:26.1125300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624-10p
2025-07-24T04:00:26.1126290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19
2025-07-24T04:00:26.1127460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hirez100
2025-07-24T04:00:26.1128680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621a-a
2025-07-24T04:00:26.1129870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2640b
2025-07-24T04:00:26.1131060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-smul
2025-07-24T04:00:26.1132310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h80
2025-07-24T04:00:26.1133430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626p
2025-07-24T04:00:26.1134750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2623a
2025-07-24T04:00:26.1135990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpterm-color
2025-07-24T04:00:26.1137120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpex2
2025-07-24T04:00:26.1138290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2645a
2025-07-24T04:00:26.1139420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath-19
2025-07-24T04:00:26.1140570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hterm
2025-07-24T04:00:26.1141850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19g
2025-07-24T04:00:26.1142980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-u
2025-07-24T04:00:26.1144110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-12
2025-07-24T04:00:26.1145140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp
2025-07-24T04:00:26.1146280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-g
2025-07-24T04:00:26.1147580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-x40
2025-07-24T04:00:26.1149030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpterm-color2
2025-07-24T04:00:26.1150170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heathkit
2025-07-24T04:00:26.1151370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h29a-kc-bc
2025-07-24T04:00:26.1152560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-a
2025-07-24T04:00:26.1153780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621b-kx
2025-07-24T04:00:26.1154860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-bs
2025-07-24T04:00:26.1156000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp70092A
2025-07-24T04:00:26.1157190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-wl
2025-07-24T04:00:26.1158290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+pfk-cr
2025-07-24T04:00:26.1159410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz2000
2025-07-24T04:00:26.1160650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98550a-color
2025-07-24T04:00:26.1161950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b-4p
2025-07-24T04:00:26.1163070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98550
2025-07-24T04:00:26.1164250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpsub
2025-07-24T04:00:26.1165410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+arrows
2025-07-24T04:00:26.1166950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+pfk+arrows
2025-07-24T04:00:26.1168070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621k45
2025-07-24T04:00:26.1169220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heathkit-a
2025-07-24T04:00:26.1170310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98550-color
2025-07-24T04:00:26.1171150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hds200
2025-07-24T04:00:26.1172040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1420
2025-07-24T04:00:26.1172900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2392
2025-07-24T04:00:26.1173880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hirez100-w
2025-07-24T04:00:26.1174690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2648
2025-07-24T04:00:26.1175540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hft-c
2025-07-24T04:00:26.1176440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1552
2025-07-24T04:00:26.1177270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2
2025-07-24T04:00:26.1178210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h29a-nkc-bc
2025-07-24T04:00:26.1179090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+color
2025-07-24T04:00:26.1180000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-fl
2025-07-24T04:00:26.1180870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2641a
2025-07-24T04:00:26.1181760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/htx11
2025-07-24T04:00:26.1182620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2627a
2025-07-24T04:00:26.1183510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp262x
2025-07-24T04:00:26.1184380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624
2025-07-24T04:00:26.1185240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2623
2025-07-24T04:00:26.1186150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621p-a
2025-07-24T04:00:26.1187080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-k45
2025-07-24T04:00:26.1187950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621b
2025-07-24T04:00:26.1188820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hazel
2025-07-24T04:00:26.1189710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2648a
2025-07-24T04:00:26.1190600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98550a
2025-07-24T04:00:26.1191470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2622
2025-07-24T04:00:26.1192340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp9837
2025-07-24T04:00:26.1193310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b-4p-p
2025-07-24T04:00:26.1194170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621p
2025-07-24T04:00:26.1195070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpgeneric
2025-07-24T04:00:26.1195970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624a
2025-07-24T04:00:26.1196830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1500
2025-07-24T04:00:26.1197750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19kermit
2025-07-24T04:00:26.1198740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-us
2025-07-24T04:00:26.1199890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hft-old
2025-07-24T04:00:26.1201250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp700-wy
2025-07-24T04:00:26.1202350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp9845
2025-07-24T04:00:26.1203550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-nl
2025-07-24T04:00:26.1204580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpex
2025-07-24T04:00:26.1205720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19k
2025-07-24T04:00:26.1207000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hterm-256color
2025-07-24T04:00:26.1208270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h29a-kc-uc
2025-07-24T04:00:26.1209430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+printer
2025-07-24T04:00:26.1210500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2397a
2025-07-24T04:00:26.1211640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b-10p
2025-07-24T04:00:26.1212880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1510
2025-07-24T04:00:26.1214100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-ba
2025-07-24T04:00:26.1215270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-12x40
2025-07-24T04:00:26.1216390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/ha8675
2025-07-24T04:00:26.1217590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/ha8686
2025-07-24T04:00:26.1218780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2640a
2025-07-24T04:00:26.1219860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1520
2025-07-24T04:00:26.1221080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626a
2025-07-24T04:00:26.1222290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624a-10p
2025-07-24T04:00:26.1223340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath
2025-07-24T04:00:26.1224510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hft-c-old
2025-07-24T04:00:26.1225760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98720
2025-07-24T04:00:26.1226960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1000
2025-07-24T04:00:26.1228110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hft
2025-07-24T04:00:26.1229300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2382
2025-07-24T04:00:26.1230560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpterm
2025-07-24T04:00:26.1231750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpansi
2025-07-24T04:00:26.1232860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98721
2025-07-24T04:00:26.1234000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-b
2025-07-24T04:00:26.1235300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-a
2025-07-24T04:00:26.1236410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp45
2025-07-24T04:00:26.1237660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h-100bw
2025-07-24T04:00:26.1239110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1520-noesc
2025-07-24T04:00:26.1240180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp110
2025-07-24T04:00:26.1241290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp300h
2025-07-24T04:00:26.1242340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/he80
2025-07-24T04:00:26.1243530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-12-s
2025-07-24T04:00:26.1244730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2397
2025-07-24T04:00:26.1245790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp150
2025-07-24T04:00:26.1246880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2382a
2025-07-24T04:00:26.1248030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-48
2025-07-24T04:00:26.1249220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+pfk+cr
2025-07-24T04:00:26.1250380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h29a-nkc-uc
2025-07-24T04:00:26.1251460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp700
2025-07-24T04:00:26.1252750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621b-p
2025-07-24T04:00:26.1253870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h100bw
2025-07-24T04:00:26.1254950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hurd
2025-07-24T04:00:26.1256120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp70092
2025-07-24T04:00:26.1257180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2622a
2025-07-24T04:00:26.1258310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2644a
2025-07-24T04:00:26.1259490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2645
2025-07-24T04:00:26.1260680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b-10p-p
2025-07-24T04:00:26.1261740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-s
2025-07-24T04:00:26.1262970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2627c
2025-07-24T04:00:26.1264230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1552-rv
2025-07-24T04:00:26.1265210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626
2025-07-24T04:00:26.1266370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2627a-rev
2025-07-24T04:00:26.1267580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621
2025-07-24T04:00:26.1268690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b
2025-07-24T04:00:26.1269890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-ns
2025-07-24T04:00:26.1271020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hmod1
2025-07-24T04:00:26.1272240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621A
2025-07-24T04:00:26.1273320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+labels
2025-07-24T04:00:26.1274490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624b-p
2025-07-24T04:00:26.1275680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath-ansi
2025-07-24T04:00:26.1276760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2647a
2025-07-24T04:00:26.1277930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-35
2025-07-24T04:00:26.1279300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-100
2025-07-24T04:00:26.1280480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-50
2025-07-24T04:00:26.1281630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/o4112-nd
2025-07-24T04:00:26.1282880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-25-w
2025-07-24T04:00:26.1283990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oc100
2025-07-24T04:00:26.1285140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-60
2025-07-24T04:00:26.1286360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-35-w
2025-07-24T04:00:26.1287470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osexec
2025-07-24T04:00:26.1288690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/o85h
2025-07-24T04:00:26.1289950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oldibmpc3
2025-07-24T04:00:26.1291040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-w
2025-07-24T04:00:26.1292370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-50-w
2025-07-24T04:00:26.1293560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-25-w-vt
2025-07-24T04:00:26.1294660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osborne
2025-07-24T04:00:26.1295790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oldsun
2025-07-24T04:00:26.1297000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osborne1-w
2025-07-24T04:00:26.1298100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osborne-w
2025-07-24T04:00:26.1299180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/owl
2025-07-24T04:00:26.1300450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oconcept
2025-07-24T04:00:26.1301590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt
2025-07-24T04:00:26.1302880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-60-nti
2025-07-24T04:00:26.1303990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/ofcons
2025-07-24T04:00:26.1305160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opus3n1+
2025-07-24T04:00:26.1306330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4112
2025-07-24T04:00:26.1307460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4115
2025-07-24T04:00:26.1308790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-100-nti
2025-07-24T04:00:26.1310040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-nti
2025-07-24T04:00:26.1311200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oblit
2025-07-24T04:00:26.1312360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4114
2025-07-24T04:00:26.1313700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4113
2025-07-24T04:00:26.1314840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-50-nti
2025-07-24T04:00:26.1315910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/o31
2025-07-24T04:00:26.1317080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oabm85h
2025-07-24T04:00:26.1318270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oldpc3
2025-07-24T04:00:26.1319490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osborne1
2025-07-24T04:00:26.1320600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/omron
2025-07-24T04:00:26.1321790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-25-nti
2025-07-24T04:00:26.1322990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/origpc3
2025-07-24T04:00:26.1324270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-w-vt
2025-07-24T04:00:26.1325360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-60-w
2025-07-24T04:00:26.1326480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/origibmpc3
2025-07-24T04:00:26.1327540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/old-st
2025-07-24T04:00:26.1328710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/ojerq
2025-07-24T04:00:26.1329910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-25
2025-07-24T04:00:26.1331160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-35-nti
2025-07-24T04:00:26.1332670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/os9LII
2025-07-24T04:00:26.1333830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jfbterm
2025-07-24T04:00:26.1334970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jaixterm-m
2025-07-24T04:00:26.1335930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jerq
2025-07-24T04:00:26.1337090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jaixterm
2025-07-24T04:00:26.1338210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/32/2621
2025-07-24T04:00:26.1339490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/32/2621-wl
2025-07-24T04:00:26.1340670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/32/2621A
2025-07-24T04:00:26.1341820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5051
2025-07-24T04:00:26.1343080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5410-w
2025-07-24T04:00:26.1344170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5630-24
2025-07-24T04:00:26.1345460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5630DMD-24
2025-07-24T04:00:26.1346770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5620
2025-07-24T04:00:26.1348070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-ansi
2025-07-24T04:00:26.1349090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iq140
2025-07-24T04:00:26.1350210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3161
2025-07-24T04:00:26.1351560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intertube2
2025-07-24T04:00:26.1352700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6154-c
2025-07-24T04:00:26.1353990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm
2025-07-24T04:00:26.1355130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intertube
2025-07-24T04:00:26.1356280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3151
2025-07-24T04:00:26.1357430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5051
2025-07-24T04:00:26.1358520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8604
2025-07-24T04:00:26.1359610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/infoton
2025-07-24T04:00:26.1360890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc3r-mono
2025-07-24T04:00:26.1361960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmaed
2025-07-24T04:00:26.1363130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc
2025-07-24T04:00:26.1364120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ips
2025-07-24T04:00:26.1365210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm327x
2025-07-24T04:00:26.1366220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibcs2
2025-07-24T04:00:26.1367250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/i100
2025-07-24T04:00:26.1368250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmmpel-c
2025-07-24T04:00:26.1369110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmega
2025-07-24T04:00:26.1370000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5154
2025-07-24T04:00:26.1370920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iTerm2.app
2025-07-24T04:00:26.1371870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-ansi-net
2025-07-24T04:00:26.1372970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/infoton2
2025-07-24T04:00:26.1374050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmvga-c
2025-07-24T04:00:26.1375330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm+16color
2025-07-24T04:00:26.1376490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims-ansi
2025-07-24T04:00:26.1377720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-system1
2025-07-24T04:00:26.1378870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa8c
2025-07-24T04:00:26.1380080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8503
2025-07-24T04:00:26.1381250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmega-c
2025-07-24T04:00:26.1382420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmx
2025-07-24T04:00:26.1383450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-pc
2025-07-24T04:00:26.1384610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intext2
2025-07-24T04:00:26.1385860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5081
2025-07-24T04:00:26.1387050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa8c-c
2025-07-24T04:00:26.1388150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ipsi
2025-07-24T04:00:26.1389390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3162
2025-07-24T04:00:26.1390490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-color
2025-07-24T04:00:26.1391800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims950-rv
2025-07-24T04:00:26.1393070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8512
2025-07-24T04:00:26.1394190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3161-C
2025-07-24T04:00:26.1395360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iq120
2025-07-24T04:00:26.1396460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3163
2025-07-24T04:00:26.1397600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3164
2025-07-24T04:00:26.1398770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6153-90
2025-07-24T04:00:26.1399820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8513
2025-07-24T04:00:26.1401070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5081-c
2025-07-24T04:00:26.1402230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris40
2025-07-24T04:00:26.1403450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8514
2025-07-24T04:00:26.1404590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3101
2025-07-24T04:00:26.1405700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm2
2025-07-24T04:00:26.1406770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6153
2025-07-24T04:00:26.1407870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intertec
2025-07-24T04:00:26.1408910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6154
2025-07-24T04:00:26.1410150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc3r
2025-07-24T04:00:26.1411380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmvga
2025-07-24T04:00:26.1412470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6155
2025-07-24T04:00:26.1413580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims950-b
2025-07-24T04:00:26.1414700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/interix-nti
2025-07-24T04:00:26.1415880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmmono
2025-07-24T04:00:26.1416970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa8
2025-07-24T04:00:26.1418110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iTerm.app
2025-07-24T04:00:26.1419230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/icl6404
2025-07-24T04:00:26.1420320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/icl6404-w
2025-07-24T04:00:26.1421600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm2-direct
2025-07-24T04:00:26.1422630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/i3101
2025-07-24T04:00:26.1423760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intext
2025-07-24T04:00:26.1424910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/interix
2025-07-24T04:00:26.1426150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc3
2025-07-24T04:00:26.1427170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5151
2025-07-24T04:00:26.1428230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpcx
2025-07-24T04:00:26.1429360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm+color
2025-07-24T04:00:26.1430370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/i3164
2025-07-24T04:00:26.1431470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/icl6402
2025-07-24T04:00:26.1432460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ifmr
2025-07-24T04:00:26.1433540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/i400
2025-07-24T04:00:26.1434670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8507
2025-07-24T04:00:26.1435680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims950
2025-07-24T04:00:26.1436840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-ansi-ap
2025-07-24T04:00:26.1438010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa16
2025-07-24T04:00:26.1439130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-apl
2025-07-24T04:00:26.1440250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intextii
2025-07-24T04:00:26.1441440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8514-c
2025-07-24T04:00:26.1442570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5154-c
2025-07-24T04:00:26.1443810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6153-40
2025-07-24T04:00:26.1444840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-H
2025-07-24T04:00:26.1446010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q306-8-pc
2025-07-24T04:00:26.1447160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-H-am
2025-07-24T04:00:26.1448350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-w-am
2025-07-24T04:00:26.1449600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-w
2025-07-24T04:00:26.1451020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-Hw
2025-07-24T04:00:26.1452030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/58/X-hpterm
2025-07-24T04:00:26.1453160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/58/X-hpterm-color2
2025-07-24T04:00:26.1454170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2012
2025-07-24T04:00:26.1455200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-44
2025-07-24T04:00:26.1456220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+rv
2025-07-24T04:00:26.1457180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru
2025-07-24T04:00:26.1458110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator
2025-07-24T04:00:26.1459350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome+pcfkeys
2025-07-24T04:00:26.1460430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go140
2025-07-24T04:00:26.1461600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-s
2025-07-24T04:00:26.1467010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-lp
2025-07-24T04:00:26.1467510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-w-s
2025-07-24T04:00:26.1467980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gsi
2025-07-24T04:00:26.1468440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs6300
2025-07-24T04:00:26.1468910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-52
2025-07-24T04:00:26.1469400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-44-s
2025-07-24T04:00:26.1469890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh72
2025-07-24T04:00:26.1470370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430-24
2025-07-24T04:00:26.1471470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh80
2025-07-24T04:00:26.1472670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+s
2025-07-24T04:00:26.1473890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-fc5
2025-07-24T04:00:26.1474890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430-22
2025-07-24T04:00:26.1475890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt40
2025-07-24T04:00:26.1476840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go225
2025-07-24T04:00:26.1477950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33-rv
2025-07-24T04:00:26.1479060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome
2025-07-24T04:00:26.1480110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2007
2025-07-24T04:00:26.1481000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gigi
2025-07-24T04:00:26.1482070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33
2025-07-24T04:00:26.1483180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2008
2025-07-24T04:00:26.1484350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-t
2025-07-24T04:00:26.1485370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/graphos
2025-07-24T04:00:26.1486540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76
2025-07-24T04:00:26.1487660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/glasstty
2025-07-24T04:00:26.1488810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-256color
2025-07-24T04:00:26.1489750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430
2025-07-24T04:00:26.1490700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-rv
2025-07-24T04:00:26.1491660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-24
2025-07-24T04:00:26.1492710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+unk
2025-07-24T04:00:26.1493920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh90
2025-07-24T04:00:26.1494920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-w
2025-07-24T04:00:26.1496090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-nctxt
2025-07-24T04:00:26.1497190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh62
2025-07-24T04:00:26.1498180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go-225
2025-07-24T04:00:26.1499230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt100a
2025-07-24T04:00:26.1500410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt100
2025-07-24T04:00:26.1501450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt42
2025-07-24T04:00:26.1502640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-s
2025-07-24T04:00:26.1503650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-lp
2025-07-24T04:00:26.1504770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go140w
2025-07-24T04:00:26.1505960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/graphos-30
2025-07-24T04:00:26.1507210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33-s
2025-07-24T04:00:26.1508420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-52t
2025-07-24T04:00:26.1509560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-wm
2025-07-24T04:00:26.1510600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4410-w
2025-07-24T04:00:26.1511730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4027ex
2025-07-24T04:00:26.1512870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4025ex
2025-07-24T04:00:26.1514100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/33/386at
2025-07-24T04:00:26.1515200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/33/3b1
2025-07-24T04:00:26.1516400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4e/NCR260VT300WPP
2025-07-24T04:00:26.1517430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4e/NCRVT100WPP
2025-07-24T04:00:26.1518580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-88color
2025-07-24T04:00:26.1519690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm
2025-07-24T04:00:26.1520910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-256color
2025-07-24T04:00:26.1521890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-color
2025-07-24T04:00:26.1523050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b-nb
2025-07-24T04:00:26.1524160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scanset
2025-07-24T04:00:26.1525090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/swtp
2025-07-24T04:00:26.1526320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbee-xsb
2025-07-24T04:00:26.1527400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/synertek380
2025-07-24T04:00:26.1528420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-256color
2025-07-24T04:00:26.1529540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen5
2025-07-24T04:00:26.1530640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc140
2025-07-24T04:00:26.1531810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color
2025-07-24T04:00:26.1532780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen2
2025-07-24T04:00:26.1533730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-17
2025-07-24T04:00:26.1535020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty
2025-07-24T04:00:26.1536040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun
2025-07-24T04:00:26.1537110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-16color
2025-07-24T04:00:26.1538320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm-256color
2025-07-24T04:00:26.1539440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen3
2025-07-24T04:00:26.1540480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen4
2025-07-24T04:00:26.1541710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.konsole-256color
2025-07-24T04:00:26.1542620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/s4
2025-07-24T04:00:26.1543920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m1
2025-07-24T04:00:26.1545290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-bce-s
2025-07-24T04:00:26.1546660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-bce
2025-07-24T04:00:26.1547880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel12-80
2025-07-24T04:00:26.1548820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbee
2025-07-24T04:00:26.1550020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.7
2025-07-24T04:00:26.1551050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m1b
2025-07-24T04:00:26.1552010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-cgsix
2025-07-24T04:00:26.1553040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb3
2025-07-24T04:00:26.1554020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi
2025-07-24T04:00:26.1555170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.konsole
2025-07-24T04:00:26.1556140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-m
2025-07-24T04:00:26.1557300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.6
2025-07-24T04:00:26.1558440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.rxvt
2025-07-24T04:00:26.1559400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-type4
2025-07-24T04:00:26.1561020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.8
2025-07-24T04:00:26.1562060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb2
2025-07-24T04:00:26.1563210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m1b
2025-07-24T04:00:26.1564120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbeeic
2025-07-24T04:00:26.1565060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-e-s
2025-07-24T04:00:26.1565920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-cmd
2025-07-24T04:00:26.1566770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc
2025-07-24T04:00:26.1567760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.gnome
2025-07-24T04:00:26.1568710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-r6
2025-07-24T04:00:26.1569670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-s
2025-07-24T04:00:26.1570500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-c
2025-07-24T04:00:26.1571420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.vte
2025-07-24T04:00:26.1572290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sune
2025-07-24T04:00:26.1573320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1-nb
2025-07-24T04:00:26.1574240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-base
2025-07-24T04:00:26.1575200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.gnome
2025-07-24T04:00:26.1576170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m2
2025-07-24T04:00:26.1577000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun2
2025-07-24T04:00:26.1577920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-w
2025-07-24T04:00:26.1578970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-xfree86
2025-07-24T04:00:26.1579800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm
2025-07-24T04:00:26.1580690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-ss5
2025-07-24T04:00:26.1581550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-e
2025-07-24T04:00:26.1582490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-nic
2025-07-24T04:00:26.1583490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mlterm-256color
2025-07-24T04:00:26.1584780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.rxvt
2025-07-24T04:00:26.1585320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-34
2025-07-24T04:00:26.1586330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel2-80
2025-07-24T04:00:26.1587470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-direct
2025-07-24T04:00:26.1588610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/simterm
2025-07-24T04:00:26.1589900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b
2025-07-24T04:00:26.1590980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sc415
2025-07-24T04:00:26.1592130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sibo
2025-07-24T04:00:26.1593480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi-old
2025-07-24T04:00:26.1594590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stv52
2025-07-24T04:00:26.1595860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-s
2025-07-24T04:00:26.1597210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.xterm-new
2025-07-24T04:00:26.1598270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st
2025-07-24T04:00:26.1599470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-color
2025-07-24T04:00:26.1600550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sbobcat
2025-07-24T04:00:26.1601720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux
2025-07-24T04:00:26.1602710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-12
2025-07-24T04:00:26.1604020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-bce-s
2025-07-24T04:00:26.1605200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen+italics
2025-07-24T04:00:26.1606410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-24
2025-07-24T04:00:26.1607580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m2
2025-07-24T04:00:26.1608860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.linux
2025-07-24T04:00:26.1610170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screwpoint
2025-07-24T04:00:26.1611380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc120
2025-07-24T04:00:26.1612500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-48
2025-07-24T04:00:26.1613740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/simpleterm
2025-07-24T04:00:26.1614890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/synertek
2025-07-24T04:00:26.1615970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scrt
2025-07-24T04:00:26.1617080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen
2025-07-24T04:00:26.1618190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-il
2025-07-24T04:00:26.1619370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce
2025-07-24T04:00:26.1620410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sbi
2025-07-24T04:00:26.1621360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb1
2025-07-24T04:00:26.1622680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-256color
2025-07-24T04:00:26.1623860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52
2025-07-24T04:00:26.1624980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scrhp
2025-07-24T04:00:26.1626210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm-16color
2025-07-24T04:00:26.1627330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi-new
2025-07-24T04:00:26.1628540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbrain
2025-07-24T04:00:26.1629790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-s
2025-07-24T04:00:26.1630960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sv80
2025-07-24T04:00:26.1632300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mlterm
2025-07-24T04:00:26.1633590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.vte-256color
2025-07-24T04:00:26.1635110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-256color
2025-07-24T04:00:26.1636450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.mrxvt
2025-07-24T04:00:26.1637590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-old
2025-07-24T04:00:26.1638840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.Eterm
2025-07-24T04:00:26.1640200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/spinwriter
2025-07-24T04:00:26.1641430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-s
2025-07-24T04:00:26.1642570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun1
2025-07-24T04:00:26.1643960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.teraterm
2025-07-24T04:00:26.1645160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.Eterm
2025-07-24T04:00:26.1646330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mrxvt
2025-07-24T04:00:26.1647720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-bce
2025-07-24T04:00:26.1648850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-s
2025-07-24T04:00:26.1650220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stv52pc
2025-07-24T04:00:26.1651610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b-80
2025-07-24T04:00:26.1652720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/system1
2025-07-24T04:00:26.1653990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m1
2025-07-24T04:00:26.1655090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-1
2025-07-24T04:00:26.1656310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-color
2025-07-24T04:00:26.1657700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-new
2025-07-24T04:00:26.1658870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color
2025-07-24T04:00:26.1660140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen+fkeys
2025-07-24T04:00:26.1661560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.konsole
2025-07-24T04:00:26.1662680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun+sl
2025-07-24T04:00:26.1663800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sc410
2025-07-24T04:00:26.1664930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-s-e
2025-07-24T04:00:26.1666270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1
2025-07-24T04:00:26.1667380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/securecrt
2025-07-24T04:00:26.1668560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424
2025-07-24T04:00:26.1669690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52
2025-07-24T04:00:26.1670940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-mc-vb
2025-07-24T04:00:26.1672160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-s
2025-07-24T04:00:26.1673330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-unk-2p
2025-07-24T04:00:26.1674450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-rv
2025-07-24T04:00:26.1675620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-15
2025-07-24T04:00:26.1676910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-1
2025-07-24T04:00:26.1678080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek
2025-07-24T04:00:26.1679230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti926-8
2025-07-24T04:00:26.1680410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc
2025-07-24T04:00:26.1681630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb
2025-07-24T04:00:26.1682950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi925-hi
2025-07-24T04:00:26.1684020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty33
2025-07-24T04:00:26.1685250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4027-ex
2025-07-24T04:00:26.1686490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4107
2025-07-24T04:00:26.1687610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti928-8
2025-07-24T04:00:26.1688890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-rv
2025-07-24T04:00:26.1690090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p-p
2025-07-24T04:00:26.1691400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb-unk
2025-07-24T04:00:26.1692470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ttydmd
2025-07-24T04:00:26.1693710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-p-2p
2025-07-24T04:00:26.1694880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4109
2025-07-24T04:00:26.1696060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty35
2025-07-24T04:00:26.1697250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-mc-2p
2025-07-24T04:00:26.1698580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-8-132
2025-07-24T04:00:26.1699830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p-unk
2025-07-24T04:00:26.1701040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti931
2025-07-24T04:00:26.1702070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi970-vb
2025-07-24T04:00:26.1703310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425
2025-07-24T04:00:26.1704460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts-1p
2025-07-24T04:00:26.1705660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920
2025-07-24T04:00:26.1707010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-34
2025-07-24T04:00:26.1708110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi9065
2025-07-24T04:00:26.1709350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-p-2p
2025-07-24T04:00:26.1710630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p-p
2025-07-24T04:00:26.1711930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+printer
2025-07-24T04:00:26.1713180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc-2p
2025-07-24T04:00:26.1714250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t16
2025-07-24T04:00:26.1715460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c
2025-07-24T04:00:26.1716670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk-vb
2025-07-24T04:00:26.1717860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tgtelnet
2025-07-24T04:00:26.1718980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk
2025-07-24T04:00:26.1720190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4027
2025-07-24T04:00:26.1721480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology
2025-07-24T04:00:26.1722530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620
2025-07-24T04:00:26.1723730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc-vb
2025-07-24T04:00:26.1724940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b+fn
2025-07-24T04:00:26.1726170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws2103-sna
2025-07-24T04:00:26.1727490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105-30
2025-07-24T04:00:26.1728610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws2102-sna
2025-07-24T04:00:26.1729780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-17-ws
2025-07-24T04:00:26.1731010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b
2025-07-24T04:00:26.1732140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-mc
2025-07-24T04:00:26.1733220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi910
2025-07-24T04:00:26.1734420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb
2025-07-24T04:00:26.1735570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424-1
2025-07-24T04:00:26.1736570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t10
2025-07-24T04:00:26.1737820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-unk
2025-07-24T04:00:26.1738870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti707
2025-07-24T04:00:26.1740040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi921
2025-07-24T04:00:26.1741090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti700
2025-07-24T04:00:26.1742230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4404
2025-07-24T04:00:26.1743510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p
2025-07-24T04:00:26.1744670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-2p
2025-07-24T04:00:26.1745800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken
2025-07-24T04:00:26.1746870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tt52
2025-07-24T04:00:26.1748020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025a
2025-07-24T04:00:26.1749170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb-p
2025-07-24T04:00:26.1750390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk-2p
2025-07-24T04:00:26.1751530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410v1-w
2025-07-24T04:00:26.1752720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trs2
2025-07-24T04:00:26.1754020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc-2p
2025-07-24T04:00:26.1755160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950
2025-07-24T04:00:26.1756430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924
2025-07-24T04:00:26.1757620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52-m
2025-07-24T04:00:26.1758700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-132
2025-07-24T04:00:26.1759980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-nl
2025-07-24T04:00:26.1761080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425-w
2025-07-24T04:00:26.1762280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-rv
2025-07-24T04:00:26.1763420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-p-vb
2025-07-24T04:00:26.1764390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc-vb
2025-07-24T04:00:26.1765250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi970-2p
2025-07-24T04:00:26.1766130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4207
2025-07-24T04:00:26.1767110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm4.59
2025-07-24T04:00:26.1768000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912cc
2025-07-24T04:00:26.1768980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb-unk
2025-07-24T04:00:26.1770190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t3800
2025-07-24T04:00:26.1770870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-mc-vb
2025-07-24T04:00:26.1771870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-1.0.0
2025-07-24T04:00:26.1772700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw100
2025-07-24T04:00:26.1773600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+dim
2025-07-24T04:00:26.1774520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet300
2025-07-24T04:00:26.1775440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-2018
2025-07-24T04:00:26.1776360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti703-w
2025-07-24T04:00:26.1777190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty43
2025-07-24T04:00:26.1782720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113
2025-07-24T04:00:26.1783230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-16color
2025-07-24T04:00:26.1783720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminator
2025-07-24T04:00:26.1784190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4114
2025-07-24T04:00:26.1784650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti_ansi
2025-07-24T04:00:26.1785130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100-ctxt
2025-07-24T04:00:26.1785620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425-nl
2025-07-24T04:00:26.1786090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teletec
2025-07-24T04:00:26.1786550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts1p
2025-07-24T04:00:26.1787030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p-unk
2025-07-24T04:00:26.1787530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-p-vb
2025-07-24T04:00:26.1788010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4125
2025-07-24T04:00:26.1788810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-rv-4p
2025-07-24T04:00:26.1789660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100
2025-07-24T04:00:26.1791000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p
2025-07-24T04:00:26.1791910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410-w
2025-07-24T04:00:26.1792830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-p
2025-07-24T04:00:26.1793670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab
2025-07-24T04:00:26.1794550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti707-w
2025-07-24T04:00:26.1795480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-p
2025-07-24T04:00:26.1796340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi955-w
2025-07-24T04:00:26.1797300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-mc-2p
2025-07-24T04:00:26.1798190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113-34
2025-07-24T04:00:26.1799100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-p
2025-07-24T04:00:26.1799970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4115
2025-07-24T04:00:26.1800950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-unk-vb
2025-07-24T04:00:26.1801810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112
2025-07-24T04:00:26.1802760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet1200
2025-07-24T04:00:26.1803880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t3700
2025-07-24T04:00:26.1805460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-sc+fkeys
2025-07-24T04:00:26.1806340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t1061f
2025-07-24T04:00:26.1807490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty37
2025-07-24T04:00:26.1808570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c
2025-07-24T04:00:26.1809730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t1061
2025-07-24T04:00:26.1810910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi803
2025-07-24T04:00:26.1812100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tn1200
2025-07-24T04:00:26.1813200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924-8
2025-07-24T04:00:26.1814470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-unk
2025-07-24T04:00:26.1815760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-vt+fkeys
2025-07-24T04:00:26.1816890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100-sp
2025-07-24T04:00:26.1817910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4420
2025-07-24T04:00:26.1819120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p-mc
2025-07-24T04:00:26.1820270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424m
2025-07-24T04:00:26.1821340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105
2025-07-24T04:00:26.1822370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4015-sm
2025-07-24T04:00:26.1823530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-mc
2025-07-24T04:00:26.1824680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet
2025-07-24T04:00:26.1825790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b
2025-07-24T04:00:26.1827000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w
2025-07-24T04:00:26.1828190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-w-rv
2025-07-24T04:00:26.1829360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teleray
2025-07-24T04:00:26.1830370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trsII
2025-07-24T04:00:26.1831480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+vb
2025-07-24T04:00:26.1832730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-p-2p
2025-07-24T04:00:26.1833940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p-p
2025-07-24T04:00:26.1835090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4109brl
2025-07-24T04:00:26.1836120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4426
2025-07-24T04:00:26.1837470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p
2025-07-24T04:00:26.1838660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-unk-2p
2025-07-24T04:00:26.1840100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-rv
2025-07-24T04:00:26.1841270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112-5
2025-07-24T04:00:26.1842520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux-256color
2025-07-24T04:00:26.1843630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi924
2025-07-24T04:00:26.1844840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-rv-nl
2025-07-24T04:00:26.1846050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924-8w
2025-07-24T04:00:26.1847230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p-p
2025-07-24T04:00:26.1848450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-w
2025-07-24T04:00:26.1849480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts-1
2025-07-24T04:00:26.1850610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-p-2p
2025-07-24T04:00:26.1851850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws-generic
2025-07-24T04:00:26.1853000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tandem6510
2025-07-24T04:00:26.1854350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm-256color
2025-07-24T04:00:26.1855570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-mc
2025-07-24T04:00:26.1856700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912
2025-07-24T04:00:26.1857890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm
2025-07-24T04:00:26.1859040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti733
2025-07-24T04:00:26.1860210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025
2025-07-24T04:00:26.1861390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+mc
2025-07-24T04:00:26.1862560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410
2025-07-24T04:00:26.1863760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi92D
2025-07-24T04:00:26.1864990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-unk-vb
2025-07-24T04:00:26.1866070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4014
2025-07-24T04:00:26.1867260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-vt
2025-07-24T04:00:26.1868540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p
2025-07-24T04:00:26.1869570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4013
2025-07-24T04:00:26.1870720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi970
2025-07-24T04:00:26.1871880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-unk
2025-07-24T04:00:26.1873040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi914
2025-07-24T04:00:26.1874240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti735
2025-07-24T04:00:26.1875480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux
2025-07-24T04:00:26.1876590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti703
2025-07-24T04:00:26.1877780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi925
2025-07-24T04:00:26.1878860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t653x
2025-07-24T04:00:26.1880140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52-color
2025-07-24T04:00:26.1881210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trs16
2025-07-24T04:00:26.1882320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4012
2025-07-24T04:00:26.1883620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420
2025-07-24T04:00:26.1884730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trs80II
2025-07-24T04:00:26.1885890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4015
2025-07-24T04:00:26.1886960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-sc
2025-07-24T04:00:26.1888270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-p
2025-07-24T04:00:26.1889450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p-unk
2025-07-24T04:00:26.1890690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132
2025-07-24T04:00:26.1891890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4023
2025-07-24T04:00:26.1893120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-p
2025-07-24T04:00:26.1894440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tandem653
2025-07-24T04:00:26.1895630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4024
2025-07-24T04:00:26.1896780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p-mc
2025-07-24T04:00:26.1897950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi955-hb
2025-07-24T04:00:26.1899040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi92B
2025-07-24T04:00:26.1900260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-unk
2025-07-24T04:00:26.1901440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4014-sm
2025-07-24T04:00:26.1902680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-nl
2025-07-24T04:00:26.1903740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916
2025-07-24T04:00:26.1904860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4205
2025-07-24T04:00:26.1906140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb-p
2025-07-24T04:00:26.1907230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm4.97
2025-07-24T04:00:26.1908390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-cr
2025-07-24T04:00:26.1909560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113-nd
2025-07-24T04:00:26.1910850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb-mc
2025-07-24T04:00:26.1912130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-unk
2025-07-24T04:00:26.1913360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux-direct
2025-07-24T04:00:26.1914550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-220-7
2025-07-24T04:00:26.1915710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4107brl
2025-07-24T04:00:26.1916820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts1
2025-07-24T04:00:26.1917980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti926
2025-07-24T04:00:26.1919230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-unk-2p
2025-07-24T04:00:26.1920240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924w
2025-07-24T04:00:26.1921330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tn300
2025-07-24T04:00:26.1922500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi955
2025-07-24T04:00:26.1923770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-4p
2025-07-24T04:00:26.1924870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti928
2025-07-24T04:00:26.1926040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-mc
2025-07-24T04:00:26.1927160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb
2025-07-24T04:00:26.1928200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti745
2025-07-24T04:00:26.1929440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws2103
2025-07-24T04:00:26.1930570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-220-8
2025-07-24T04:00:26.1931880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-24
2025-07-24T04:00:26.1932990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410v1
2025-07-24T04:00:26.1934210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420+nl
2025-07-24T04:00:26.1935360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025ex
2025-07-24T04:00:26.1936590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-ex
2025-07-24T04:00:26.1937860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p-mc
2025-07-24T04:00:26.1939150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-p-vb
2025-07-24T04:00:26.1940190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti800
2025-07-24T04:00:26.1941410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-p-vb
2025-07-24T04:00:26.1942800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-rv-n
2025-07-24T04:00:26.1944040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+2p
2025-07-24T04:00:26.1945180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty40
2025-07-24T04:00:26.1946710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-unk-vb
2025-07-24T04:00:26.1947790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-rv-2p
2025-07-24T04:00:26.1948900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc
2025-07-24T04:00:26.1950160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb
2025-07-24T04:00:26.1951260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tt
2025-07-24T04:00:26.1952530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4207-s
2025-07-24T04:00:26.1953730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p-mc
2025-07-24T04:00:26.1954810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-8
2025-07-24T04:00:26.1956020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm2.3
2025-07-24T04:00:26.1957330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-0.6.1
2025-07-24T04:00:26.1958510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi910+
2025-07-24T04:00:26.1959520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvipt
2025-07-24T04:00:26.1960750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb-mc
2025-07-24T04:00:26.1962040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/termite
2025-07-24T04:00:26.1963360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p-unk
2025-07-24T04:00:26.1964700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105a
2025-07-24T04:00:26.1965800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112-nd
2025-07-24T04:00:26.1967020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-2022
2025-07-24T04:00:26.1968110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-17
2025-07-24T04:00:26.1969320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-p
2025-07-24T04:00:26.1970510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4106brl
2025-07-24T04:00:26.1971710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-1.8.1
2025-07-24T04:00:26.1972790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tkterm
2025-07-24T04:00:26.1973930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4c/LFT-PC850
2025-07-24T04:00:26.1975170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4d/MtxOrb162
2025-07-24T04:00:26.1976240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4d/MtxOrb
2025-07-24T04:00:26.1977530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4d/MtxOrb204
2025-07-24T04:00:26.1978780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/uniterm
2025-07-24T04:00:26.1979940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/ultima2
2025-07-24T04:00:26.1981130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/uniterm49
2025-07-24T04:00:26.1982280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/uts30
2025-07-24T04:00:26.1983400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/ultimaII
2025-07-24T04:00:26.1984540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/unixpc
2025-07-24T04:00:26.1985560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/unknown
2025-07-24T04:00:26.1986700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/uwin
2025-07-24T04:00:26.1987770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rebus3180
2025-07-24T04:00:26.1989030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm-w
2025-07-24T04:00:26.1990190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-xpm
2025-07-24T04:00:26.1991330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rtpc
2025-07-24T04:00:26.1992460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-16color
2025-07-24T04:00:26.1993660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-cygwin-native
2025-07-24T04:00:26.1994740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent200
2025-07-24T04:00:26.1995900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rt6221
2025-07-24T04:00:26.1997000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm-nam
2025-07-24T04:00:26.1998060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm
2025-07-24T04:00:26.1999270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-88color
2025-07-24T04:00:26.2000420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rcons
2025-07-24T04:00:26.2001720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-cygwin
2025-07-24T04:00:26.2003110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent40
2025-07-24T04:00:26.2004210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent100
2025-07-24T04:00:26.2005330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent25
2025-07-24T04:00:26.2006390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt
2025-07-24T04:00:26.2007510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent60
2025-07-24T04:00:26.2008590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rca
2025-07-24T04:00:26.2009870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-color
2025-07-24T04:00:26.2011180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-256color
2025-07-24T04:00:26.2012440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rt6221-w
2025-07-24T04:00:26.2013650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-basic
2025-07-24T04:00:26.2014820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rcons-color
2025-07-24T04:00:26.2015960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent40+
2025-07-24T04:00:26.2017180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt+pcfkeys
2025-07-24T04:00:26.2018210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent
2025-07-24T04:00:26.2019610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent20
2025-07-24T04:00:26.2020690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-vt100
2025-07-24T04:00:26.2021790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm
2025-07-24T04:00:26.2023070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-direct
2025-07-24T04:00:26.2024350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-base
2025-07-24T04:00:26.2025460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr
2025-07-24T04:00:26.2026610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds7372-w
2025-07-24T04:00:26.2027800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm-color
2025-07-24T04:00:26.2029300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-vt420pc
2025-07-24T04:00:26.2030360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kvt
2025-07-24T04:00:26.2031480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kaypro
2025-07-24T04:00:26.2032660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole
2025-07-24T04:00:26.2034160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-solaris
2025-07-24T04:00:26.2035410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-linux
2025-07-24T04:00:26.2036500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/ktm
2025-07-24T04:00:26.2037880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr-dumb
2025-07-24T04:00:26.2038990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty+common
2025-07-24T04:00:26.2040470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-16color
2025-07-24T04:00:26.2041510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/k45
2025-07-24T04:00:26.2042700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kermit-am
2025-07-24T04:00:26.2043810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds6402
2025-07-24T04:00:26.2044880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds7372
2025-07-24T04:00:26.2046080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+acs
2025-07-24T04:00:26.2047330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty+setal
2025-07-24T04:00:26.2048460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole+pcfkeys
2025-07-24T04:00:26.2049680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-xf3x
2025-07-24T04:00:26.2050740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kt7ix
2025-07-24T04:00:26.2052060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-256color
2025-07-24T04:00:26.2053220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kermit
2025-07-24T04:00:26.2054540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty-direct
2025-07-24T04:00:26.2055590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kt7
2025-07-24T04:00:26.2056710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+color
2025-07-24T04:00:26.2057850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty
2025-07-24T04:00:26.2059140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm-co
2025-07-24T04:00:26.2060370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+koi8acs
2025-07-24T04:00:26.2061430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr8
2025-07-24T04:00:26.2062660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-xf4x
2025-07-24T04:00:26.2063770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kon
2025-07-24T04:00:26.2064930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kaypro2
2025-07-24T04:00:26.2066150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kon2
2025-07-24T04:00:26.2067360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/38/8510
2025-07-24T04:00:26.2068670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm
2025-07-24T04:00:26.2070000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25-mc-nl
2025-07-24T04:00:26.2071120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160wy60wpp
2025-07-24T04:00:26.2072340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build309
2025-07-24T04:00:26.2073540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-517
2025-07-24T04:00:26.2074820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200wpp
2025-07-24T04:00:26.2076100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25-w
2025-07-24T04:00:26.2077300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy50+pp
2025-07-24T04:00:26.2078420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news28-a
2025-07-24T04:00:26.2079690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25
2025-07-24T04:00:26.2080980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-29-euc
2025-07-24T04:00:26.2082150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/next
2025-07-24T04:00:26.2083320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-511
2025-07-24T04:00:26.2084510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-s
2025-07-24T04:00:26.2085560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/netbsd6
2025-07-24T04:00:26.2086850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-50-w
2025-07-24T04:00:26.2088090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-60-nti
2025-07-24T04:00:26.2089220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-s-7
2025-07-24T04:00:26.2090440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build440
2025-07-24T04:00:26.2091580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100an
2025-07-24T04:00:26.2092740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt+sl
2025-07-24T04:00:26.2093960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100pp
2025-07-24T04:00:26.2095220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newhpkeyboard
2025-07-24T04:00:26.2096370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-42-sjis
2025-07-24T04:00:26.2097670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vpwpp
2025-07-24T04:00:26.2098750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nxterm
2025-07-24T04:00:26.2099840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501
2025-07-24T04:00:26.2100980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansisysk
2025-07-24T04:00:26.2102190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200an
2025-07-24T04:00:26.2103470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300pp
2025-07-24T04:00:26.2104650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy325wpp
2025-07-24T04:00:26.2105810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vp+sl
2025-07-24T04:00:26.2106820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40
2025-07-24T04:00:26.2108080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35-w
2025-07-24T04:00:26.2109270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy350wpp
2025-07-24T04:00:26.2110520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300wpp
2025-07-24T04:00:26.2111670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-100
2025-07-24T04:00:26.2112800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-vt220-8
2025-07-24T04:00:26.2114030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512-a
2025-07-24T04:00:26.2115240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518-o
2025-07-24T04:00:26.2116370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300an
2025-07-24T04:00:26.2117680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200pp
2025-07-24T04:00:26.2118900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100wpp
2025-07-24T04:00:26.2120010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500
2025-07-24T04:00:26.2121300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512-o
2025-07-24T04:00:26.2122610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518-a
2025-07-24T04:00:26.2123810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-100-nti
2025-07-24T04:00:26.2124980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40-o
2025-07-24T04:00:26.2126150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m
2025-07-24T04:00:26.2127390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-mc
2025-07-24T04:00:26.2128480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+s
2025-07-24T04:00:26.2129660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-nl
2025-07-24T04:00:26.2130730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40-a
2025-07-24T04:00:26.2131900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c
2025-07-24T04:00:26.2133050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nec5520
2025-07-24T04:00:26.2134180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy325pp
2025-07-24T04:00:26.2135570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100wan
2025-07-24T04:00:26.2136890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-s
2025-07-24T04:00:26.2138060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501-o
2025-07-24T04:00:26.2139210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news31
2025-07-24T04:00:26.2140590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300wan
2025-07-24T04:00:26.2141810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp251-o
2025-07-24T04:00:26.2143030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100wan
2025-07-24T04:00:26.2144190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-old-unk
2025-07-24T04:00:26.2145270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp251-a
2025-07-24T04:00:26.2146450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501-a
2025-07-24T04:00:26.2147770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-s-acs
2025-07-24T04:00:26.2148870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+7
2025-07-24T04:00:26.2150210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build400
2025-07-24T04:00:26.2151280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-bce
2025-07-24T04:00:26.2152380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100an
2025-07-24T04:00:26.2153670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-mc-nl
2025-07-24T04:00:26.2154780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansisys
2025-07-24T04:00:26.2155970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+acs
2025-07-24T04:00:26.2157160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-w
2025-07-24T04:00:26.2158430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-acs
2025-07-24T04:00:26.2159510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33-sjis
2025-07-24T04:00:26.2160530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-m
2025-07-24T04:00:26.2161760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-s-acs
2025-07-24T04:00:26.2162750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518
2025-07-24T04:00:26.2163630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp511
2025-07-24T04:00:26.2164580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-7
2025-07-24T04:00:26.2165450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp517-w
2025-07-24T04:00:26.2166400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260intwan
2025-07-24T04:00:26.2167360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-c-s
2025-07-24T04:00:26.2168250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-s
2025-07-24T04:00:26.2169270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy350pp
2025-07-24T04:00:26.2170120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+c41
2025-07-24T04:00:26.2170990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp517
2025-07-24T04:00:26.2171820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa
2025-07-24T04:00:26.2172720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news31-a
2025-07-24T04:00:26.2173650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260intan
2025-07-24T04:00:26.2174500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newhp
2025-07-24T04:00:26.2175390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news31-o
2025-07-24T04:00:26.2176310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-s
2025-07-24T04:00:26.2182020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200wan
2025-07-24T04:00:26.2182240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/n7900
2025-07-24T04:00:26.2182460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-29-sjis
2025-07-24T04:00:26.2182680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160wy50+wpp
2025-07-24T04:00:26.2182890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25
2025-07-24T04:00:26.2183090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nd9500
2025-07-24T04:00:26.2183300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-7
2025-07-24T04:00:26.2183530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-m-s
2025-07-24T04:00:26.2184430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-50
2025-07-24T04:00:26.2185390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build361
2025-07-24T04:00:26.2186280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vpwpp
2025-07-24T04:00:26.2187160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900iv
2025-07-24T04:00:26.2188110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-s-acs
2025-07-24T04:00:26.2188970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7901
2025-07-24T04:00:26.2189930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100wan
2025-07-24T04:00:26.2190840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansi.sysk
2025-07-24T04:00:26.2191840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300pp
2025-07-24T04:00:26.2192710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200an
2025-07-24T04:00:26.2193630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160wy60pp
2025-07-24T04:00:26.2194560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300wan
2025-07-24T04:00:26.2195450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vppp
2025-07-24T04:00:26.2196400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200pp
2025-07-24T04:00:26.2197330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300an
2025-07-24T04:00:26.2198250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-c-s
2025-07-24T04:00:26.2199220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-c
2025-07-24T04:00:26.2200130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35
2025-07-24T04:00:26.2201120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25-nti
2025-07-24T04:00:26.2202120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-517-w
2025-07-24T04:00:26.2203230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-m
2025-07-24T04:00:26.2204530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-acs
2025-07-24T04:00:26.2205860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25-w-vt
2025-07-24T04:00:26.2206920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900
2025-07-24T04:00:26.2208080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-60
2025-07-24T04:00:26.2209350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-m-s
2025-07-24T04:00:26.2210560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100an
2025-07-24T04:00:26.2211810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-old
2025-07-24T04:00:26.2213000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs
2025-07-24T04:00:26.2214240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100pp
2025-07-24T04:00:26.2215440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm33
2025-07-24T04:00:26.2216400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news
2025-07-24T04:00:26.2217730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-42-euc
2025-07-24T04:00:26.2218920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33
2025-07-24T04:00:26.2220140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/no+brackets
2025-07-24T04:00:26.2221430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-unk
2025-07-24T04:00:26.2222660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news42
2025-07-24T04:00:26.2223790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm-o
2025-07-24T04:00:26.2225040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-direct
2025-07-24T04:00:26.2226280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp514-a
2025-07-24T04:00:26.2227620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-256color
2025-07-24T04:00:26.2228630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news29
2025-07-24T04:00:26.2229730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-m-ns
2025-07-24T04:00:26.2230800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp514-o
2025-07-24T04:00:26.2231950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm-a
2025-07-24T04:00:26.2233170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25-nl
2025-07-24T04:00:26.2234220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-ns
2025-07-24T04:00:26.2235560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25-mc
2025-07-24T04:00:26.2236850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35-nti
2025-07-24T04:00:26.2237890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nec
2025-07-24T04:00:26.2239090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy60wpp
2025-07-24T04:00:26.2240280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy50+wpp
2025-07-24T04:00:26.2241540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200wan
2025-07-24T04:00:26.2242730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160wy50+pp
2025-07-24T04:00:26.2244010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-16color
2025-07-24T04:00:26.2245200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news28
2025-07-24T04:00:26.2246320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+mac
2025-07-24T04:00:26.2247780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-60-w
2025-07-24T04:00:26.2248840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vppp
2025-07-24T04:00:26.2250150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7
2025-07-24T04:00:26.2251330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-w-vt
2025-07-24T04:00:26.2252600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200wpp
2025-07-24T04:00:26.2253790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260intpp
2025-07-24T04:00:26.2254870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-s-7
2025-07-24T04:00:26.2255940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+c
2025-07-24T04:00:26.2257120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy60pp
2025-07-24T04:00:26.2258250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-42
2025-07-24T04:00:26.2259480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-50-nti
2025-07-24T04:00:26.2260880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news33
2025-07-24T04:00:26.2262330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-s
2025-07-24T04:00:26.2263440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-c
2025-07-24T04:00:26.2264730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260intwpp
2025-07-24T04:00:26.2265870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-s-7
2025-07-24T04:00:26.2267060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-29
2025-07-24T04:00:26.2268210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-m
2025-07-24T04:00:26.2269260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-a
2025-07-24T04:00:26.2270370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-vt220
2025-07-24T04:00:26.2271510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-o
2025-07-24T04:00:26.2272720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900i
2025-07-24T04:00:26.2273930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nextshell
2025-07-24T04:00:26.2275230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100pp
2025-07-24T04:00:26.2276310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512
2025-07-24T04:00:26.2277550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/northstar
2025-07-24T04:00:26.2278770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm
2025-07-24T04:00:26.2279970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300wpp
2025-07-24T04:00:26.2281150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100wpp
2025-07-24T04:00:26.2282330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100wpp
2025-07-24T04:00:26.2283470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansi.sys
2025-07-24T04:00:26.2284840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build326
2025-07-24T04:00:26.2285990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513-o
2025-07-24T04:00:26.2287080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513
2025-07-24T04:00:26.2288260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp514
2025-07-24T04:00:26.2289440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole
2025-07-24T04:00:26.2290800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build343
2025-07-24T04:00:26.2291970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513-a
2025-07-24T04:00:26.2293290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33-euc
2025-07-24T04:00:26.2294370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/6053-dg
2025-07-24T04:00:26.2295620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/605x-dg
2025-07-24T04:00:26.2296720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/6053
2025-07-24T04:00:26.2297870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/605x
2025-07-24T04:00:26.2298980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/630MTG-24
2025-07-24T04:00:26.2300200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/630-lm
2025-07-24T04:00:26.2301390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/31/1178
2025-07-24T04:00:26.2302630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/31/1730-lm
2025-07-24T04:00:26.2303860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel62-w
2025-07-24T04:00:26.2304930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/emu-220
2025-07-24T04:00:26.2306030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/emu
2025-07-24T04:00:26.2307210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel62
2025-07-24T04:00:26.2308240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel64
2025-07-24T04:00:26.2309640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+italics
2025-07-24T04:00:26.2310760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ex155
2025-07-24T04:00:26.2311880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+sgr
2025-07-24T04:00:26.2313170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+strikeout
2025-07-24T04:00:26.2314270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel64-rv
2025-07-24T04:00:26.2315450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks-vt52
2025-07-24T04:00:26.2316630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ep4000
2025-07-24T04:00:26.2317870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+index
2025-07-24T04:00:26.2319000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ep48
2025-07-24T04:00:26.2320590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks-glasstty
2025-07-24T04:00:26.2321720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/emx-base
2025-07-24T04:00:26.2323000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+color
2025-07-24T04:00:26.2324180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ep40
2025-07-24T04:00:26.2325290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ep4080
2025-07-24T04:00:26.2326590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel62-rv
2025-07-24T04:00:26.2327710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/env230
2025-07-24T04:00:26.2328860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel64-w
2025-07-24T04:00:26.2330090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/envision230
2025-07-24T04:00:26.2331440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ergo4000
2025-07-24T04:00:26.2332480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks-ansi
2025-07-24T04:00:26.2333660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/esprit-am
2025-07-24T04:00:26.2334820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/emots
2025-07-24T04:00:26.2335860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/esprit
2025-07-24T04:00:26.2337070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks
2025-07-24T04:00:26.2338240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/eterm
2025-07-24T04:00:26.2339290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/exec80
2025-07-24T04:00:26.2340590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/eterm-color
2025-07-24T04:00:26.2341760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bct510a
2025-07-24T04:00:26.2342980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc-w-rv
2025-07-24T04:00:26.2344160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8
2025-07-24T04:00:26.2345400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-nobold
2025-07-24T04:00:26.2346700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg2.0
2025-07-24T04:00:26.2347730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/b-128
2025-07-24T04:00:26.2348930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300
2025-07-24T04:00:26.2350130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc
2025-07-24T04:00:26.2351360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8-pc
2025-07-24T04:00:26.2352630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg3.10rv
2025-07-24T04:00:26.2353750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bee
2025-07-24T04:00:26.2354980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-w-8rv
2025-07-24T04:00:26.2356020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bh4
2025-07-24T04:00:26.2357360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehiveIIIm
2025-07-24T04:00:26.2358250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-m
2025-07-24T04:00:26.2359190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc-rv
2025-07-24T04:00:26.2360140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bracketed+paste
2025-07-24T04:00:26.2361020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc
2025-07-24T04:00:26.2361900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg3.10nv
2025-07-24T04:00:26.2362850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8-pc-w
2025-07-24T04:00:26.2363740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8rv
2025-07-24T04:00:26.2364650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-rv
2025-07-24T04:00:26.2365520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/basic4
2025-07-24T04:00:26.2366410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bct510d
2025-07-24T04:00:26.2367280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8w
2025-07-24T04:00:26.2368150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehive
2025-07-24T04:00:26.2369020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-w
2025-07-24T04:00:26.2369930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg1.25nv
2025-07-24T04:00:26.2370810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg2.0nv
2025-07-24T04:00:26.2371680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bantam
2025-07-24T04:00:26.2372620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bobcat
2025-07-24T04:00:26.2373470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg3.10
2025-07-24T04:00:26.2374420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8-pc-rv
2025-07-24T04:00:26.2375430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bh3m
2025-07-24T04:00:26.2376610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bitgraph
2025-07-24T04:00:26.2377900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-w-rv
2025-07-24T04:00:26.2379100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bterm
2025-07-24T04:00:26.2380360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-mono
2025-07-24T04:00:26.2381560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg1.25rv
2025-07-24T04:00:26.2382650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg2.0rv
2025-07-24T04:00:26.2383930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-sparc
2025-07-24T04:00:26.2385090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehive4
2025-07-24T04:00:26.2386240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehive3
2025-07-24T04:00:26.2387430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beterm
2025-07-24T04:00:26.2388610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/basis
2025-07-24T04:00:26.2389730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/blit
2025-07-24T04:00:26.2390930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-ppc
2025-07-24T04:00:26.2392180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg1.25
2025-07-24T04:00:26.2393400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8-pc-w-rv
2025-07-24T04:00:26.2394680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc-w
2025-07-24T04:00:26.2395810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beacon
2025-07-24T04:00:26.2396970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTGr
2025-07-24T04:00:26.2398070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTGr-24
2025-07-24T04:00:26.2399430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-24
2025-07-24T04:00:26.2400520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-41
2025-07-24T04:00:26.2401770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-41r
2025-07-24T04:00:26.2403170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime314
2025-07-24T04:00:26.2404280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mosh
2025-07-24T04:00:26.2405500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mskermit227
2025-07-24T04:00:26.2406690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mouse-sun
2025-07-24T04:00:26.2407710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mai
2025-07-24T04:00:26.2408940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mterm-ansi
2025-07-24T04:00:26.2410000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mt70
2025-07-24T04:00:26.2411230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mod24
2025-07-24T04:00:26.2412380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime340
2025-07-24T04:00:26.2413680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/modgraph48
2025-07-24T04:00:26.2414800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgterm
2025-07-24T04:00:26.2416080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-gnu-color
2025-07-24T04:00:26.2417220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk227
2025-07-24T04:00:26.2418430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-old
2025-07-24T04:00:26.2419640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty+common
2025-07-24T04:00:26.2420870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-fb
2025-07-24T04:00:26.2421990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp
2025-07-24T04:00:26.2423160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp2
2025-07-24T04:00:26.2424340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mterm
2025-07-24T04:00:26.2425440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2
2025-07-24T04:00:26.2426570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mvterm
2025-07-24T04:00:26.2427690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mt-70
2025-07-24T04:00:26.2428990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-old-am
2025-07-24T04:00:26.2430110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mrxvt-256color
2025-07-24T04:00:26.2431240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm2
2025-07-24T04:00:26.2432570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/macintosh
2025-07-24T04:00:26.2433780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/macterminal-w
2025-07-24T04:00:26.2434960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100
2025-07-24T04:00:26.2436130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-gnu
2025-07-24T04:00:26.2437270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mac-w
2025-07-24T04:00:26.2438370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microterm5
2025-07-24T04:00:26.2439580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/m2-nam
2025-07-24T04:00:26.2440840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mskermit227am
2025-07-24T04:00:26.2441970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm3
2025-07-24T04:00:26.2443170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a-v
2025-07-24T04:00:26.2444350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a
2025-07-24T04:00:26.2445410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-1.7
2025-07-24T04:00:26.2446720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel2-80
2025-07-24T04:00:26.2447930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/modgraph2
2025-07-24T04:00:26.2449220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1-nb
2025-07-24T04:00:26.2450380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-hb
2025-07-24T04:00:26.2451580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk227am
2025-07-24T04:00:26.2452610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mimeii
2025-07-24T04:00:26.2453890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b-80
2025-07-24T04:00:26.2455150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microbee
2025-07-24T04:00:26.2456370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mosh-256color
2025-07-24T04:00:26.2457610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm-direct
2025-07-24T04:00:26.2458830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr-linux
2025-07-24T04:00:26.2460180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mskermit22714
2025-07-24T04:00:26.2461390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty-direct
2025-07-24T04:00:26.2462550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr-sun
2025-07-24T04:00:26.2463560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mac
2025-07-24T04:00:26.2464700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1
2025-07-24T04:00:26.2465690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgt
2025-07-24T04:00:26.2466750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-3ax
2025-07-24T04:00:26.2468150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm-256color
2025-07-24T04:00:26.2469430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel12-80
2025-07-24T04:00:26.2470530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/modgraph
2025-07-24T04:00:26.2471570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr
2025-07-24T04:00:26.2472800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microterm
2025-07-24T04:00:26.2474220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm+pcfkeys
2025-07-24T04:00:26.2475340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp1
2025-07-24T04:00:26.2476550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-color
2025-07-24T04:00:26.2477820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime1
2025-07-24T04:00:26.2478890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mm314
2025-07-24T04:00:26.2480040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime3a
2025-07-24T04:00:26.2481190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mm340
2025-07-24T04:00:26.2482240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mt4520-rv
2025-07-24T04:00:26.2483440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/megatek
2025-07-24T04:00:26.2484690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel-2-nam
2025-07-24T04:00:26.2485960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b-nb
2025-07-24T04:00:26.2487020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel-2
2025-07-24T04:00:26.2488240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mono-emx
2025-07-24T04:00:26.2489350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime
2025-07-24T04:00:26.2490420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk22714
2025-07-24T04:00:26.2491510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mdl110
2025-07-24T04:00:26.2492540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mimei
2025-07-24T04:00:26.2493640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach
2025-07-24T04:00:26.2494740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a-s
2025-07-24T04:00:26.2496030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-1.5
2025-07-24T04:00:26.2497190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microb
2025-07-24T04:00:26.2498520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/memhp
2025-07-24T04:00:26.2499750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty
2025-07-24T04:00:26.2500900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm
2025-07-24T04:00:26.2502100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100-color
2025-07-24T04:00:26.2503210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-3.0
2025-07-24T04:00:26.2504430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime3ax
2025-07-24T04:00:26.2505610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100+
2025-07-24T04:00:26.2506740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/morphos
2025-07-24T04:00:26.2507920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel
2025-07-24T04:00:26.2509030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix
2025-07-24T04:00:26.2510160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mod
2025-07-24T04:00:26.2511340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-bold
2025-07-24T04:00:26.2512480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b
2025-07-24T04:00:26.2513700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-terminal
2025-07-24T04:00:26.2514710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mrxvt
2025-07-24T04:00:26.2515820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt-utf8
2025-07-24T04:00:26.2516980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisaterm-w
2025-07-24T04:00:26.2518100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux3.0
2025-07-24T04:00:26.2519320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux+sfkeys
2025-07-24T04:00:26.2520470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m2
2025-07-24T04:00:26.2521510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/luna
2025-07-24T04:00:26.2522790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-lat
2025-07-24T04:00:26.2523850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/luna68k
2025-07-24T04:00:26.2525270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-koi8r
2025-07-24T04:00:26.2526360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/la120
2025-07-24T04:00:26.2527530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lft-pc850
2025-07-24T04:00:26.2528640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.2
2025-07-24T04:00:26.2529620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-s
2025-07-24T04:00:26.2530740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux+decid
2025-07-24T04:00:26.2531800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisaterm
2025-07-24T04:00:26.2533180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-16color
2025-07-24T04:00:26.2534170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/ln03
2025-07-24T04:00:26.2535360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/ln03-w
2025-07-24T04:00:26.2536430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-vt
2025-07-24T04:00:26.2537420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/layer
2025-07-24T04:00:26.2538520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-basic
2025-07-24T04:00:26.2539660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisa
2025-07-24T04:00:26.2540710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux
2025-07-24T04:00:26.2541710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m1
2025-07-24T04:00:26.2542890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-c-nc
2025-07-24T04:00:26.2543890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/liswb
2025-07-24T04:00:26.2545020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lft
2025-07-24T04:00:26.2546250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m1b
2025-07-24T04:00:26.2547420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.6
2025-07-24T04:00:26.2548500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.6.26
2025-07-24T04:00:26.2549550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-c
2025-07-24T04:00:26.2550680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m
2025-07-24T04:00:26.2551770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-nic
2025-07-24T04:00:26.2552850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-koi8
2025-07-24T04:00:26.2554100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lpr
2025-07-24T04:00:26.2555190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/955-w
2025-07-24T04:00:26.2556300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/9term
2025-07-24T04:00:26.2557400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/955-hb
2025-07-24T04:00:26.2558400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-4p
2025-07-24T04:00:26.2559240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/coco3
2025-07-24T04:00:26.2560160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-6lpi
2025-07-24T04:00:26.2561030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cx100
2025-07-24T04:00:26.2561870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c321
2025-07-24T04:00:26.2562730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit80
2025-07-24T04:00:26.2563600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50
2025-07-24T04:00:26.2564570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cops-10
2025-07-24T04:00:26.2565470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept-avt
2025-07-24T04:00:26.2566320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50r
2025-07-24T04:00:26.2567280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept100-rv
2025-07-24T04:00:26.2568120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60
2025-07-24T04:00:26.2568960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cci1
2025-07-24T04:00:26.2569880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/coherent
2025-07-24T04:00:26.2570750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cad68-2
2025-07-24T04:00:26.2571610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cyb83
2025-07-24T04:00:26.2572630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-koi8r
2025-07-24T04:00:26.2573440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cbunix
2025-07-24T04:00:26.2574320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-rv
2025-07-24T04:00:26.2575220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-8p
2025-07-24T04:00:26.2576100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cs10-w
2025-07-24T04:00:26.2577000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60l1
2025-07-24T04:00:26.2577910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cad68-3
2025-07-24T04:00:26.2578740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citc
2025-07-24T04:00:26.2579680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-rv-8p
2025-07-24T04:00:26.2580640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-w8p
2025-07-24T04:00:26.2581540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-ps
2025-07-24T04:00:26.2582400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-4p
2025-07-24T04:00:26.2583350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-n132
2025-07-24T04:00:26.2584240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel320
2025-07-24T04:00:26.2585210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-koi8r-m
2025-07-24T04:00:26.2586040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ct82
2025-07-24T04:00:26.2586940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ct8500
2025-07-24T04:00:26.2587810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cops
2025-07-24T04:00:26.2588760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept100
2025-07-24T04:00:26.2589660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel321
2025-07-24T04:00:26.2590590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-8lpi
2025-07-24T04:00:26.2591500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-m
2025-07-24T04:00:26.2592380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25w
2025-07-24T04:00:26.2593260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cbblit
2025-07-24T04:00:26.2594200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108
2025-07-24T04:00:26.2595060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60r
2025-07-24T04:00:26.2595880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ctrm
2025-07-24T04:00:26.2596820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-rv
2025-07-24T04:00:26.2597720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-rv-4p
2025-07-24T04:00:26.2598580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ci8510
2025-07-24T04:00:26.2599550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-koi8r-m
2025-07-24T04:00:26.2600510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-iso-m
2025-07-24T04:00:26.2601390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/commodore
2025-07-24T04:00:26.2602670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108
2025-07-24T04:00:26.2603760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons43
2025-07-24T04:00:26.2605130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-iso8859
2025-07-24T04:00:26.2606300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101
2025-07-24T04:00:26.2607590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons30-m
2025-07-24T04:00:26.2608730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60l1-m
2025-07-24T04:00:26.2609810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100
2025-07-24T04:00:26.2611020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc752
2025-07-24T04:00:26.2612220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit500
2025-07-24T04:00:26.2613440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cgc2
2025-07-24T04:00:26.2614610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cg7900
2025-07-24T04:00:26.2615840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cygwinDBG
2025-07-24T04:00:26.2617200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/chromatics
2025-07-24T04:00:26.2618340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50l1-m
2025-07-24T04:00:26.2619530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/colorscan
2025-07-24T04:00:26.2620640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ca22851
2025-07-24T04:00:26.2621920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-koi8r
2025-07-24T04:00:26.2623070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc721
2025-07-24T04:00:26.2624310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-n
2025-07-24T04:00:26.2625440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cgc3
2025-07-24T04:00:26.2626530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-w
2025-07-24T04:00:26.2627960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-8p
2025-07-24T04:00:26.2628940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cs10
2025-07-24T04:00:26.2630110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-m
2025-07-24T04:00:26.2631210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons30
2025-07-24T04:00:26.2632370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept
2025-07-24T04:00:26.2633570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh
2025-07-24T04:00:26.2634740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-pica
2025-07-24T04:00:26.2635900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-iso
2025-07-24T04:00:26.2637040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel300
2025-07-24T04:00:26.2638350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-rv-4p
2025-07-24T04:00:26.2639510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-4p
2025-07-24T04:00:26.2640720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-elite
2025-07-24T04:00:26.2641800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cops10
2025-07-24T04:00:26.2643020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e
2025-07-24T04:00:26.2644380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel301
2025-07-24T04:00:26.2645640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-comp
2025-07-24T04:00:26.2646850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-m
2025-07-24T04:00:26.2648070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-1p
2025-07-24T04:00:26.2649240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-rv
2025-07-24T04:00:26.2650400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc456
2025-07-24T04:00:26.2651450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit-80
2025-07-24T04:00:26.2652680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-iso-m
2025-07-24T04:00:26.2653890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-iso-m
2025-07-24T04:00:26.2654860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cx
2025-07-24T04:00:26.2655990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25r
2025-07-24T04:00:26.2657180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-debian
2025-07-24T04:00:26.2658230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/crt
2025-07-24T04:00:26.2659370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c108-w-8p
2025-07-24T04:00:26.2660740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons43-m
2025-07-24T04:00:26.2661870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/crt-vt220
2025-07-24T04:00:26.2663060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc721-esc
2025-07-24T04:00:26.2664210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cygwinB19
2025-07-24T04:00:26.2665410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25l1-m
2025-07-24T04:00:26.2666570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/color_xterm
2025-07-24T04:00:26.2667770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50l1
2025-07-24T04:00:26.2668960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-prop
2025-07-24T04:00:26.2670150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-koi8r-m
2025-07-24T04:00:26.2671360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-koi8-r
2025-07-24T04:00:26.2672450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c301
2025-07-24T04:00:26.2673490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cyb110
2025-07-24T04:00:26.2674860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-iso8859
2025-07-24T04:00:26.2676020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-w-8
2025-07-24T04:00:26.2677130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60r-m
2025-07-24T04:00:26.2678260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c300
2025-07-24T04:00:26.2679400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25
2025-07-24T04:00:26.2680490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cygwin
2025-07-24T04:00:26.2681700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc721ll
2025-07-24T04:00:26.2682870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25r-m
2025-07-24T04:00:26.2683960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c104
2025-07-24T04:00:26.2685280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc756
2025-07-24T04:00:26.2686690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-132
2025-07-24T04:00:26.2687980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50r-m
2025-07-24T04:00:26.2688980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cci
2025-07-24T04:00:26.2690270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108rv4p
2025-07-24T04:00:26.2691340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25l1
2025-07-24T04:00:26.2692430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/digilog
2025-07-24T04:00:26.2693600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmd-34
2025-07-24T04:00:26.2694730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmdt80
2025-07-24T04:00:26.2695820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-7b-w
2025-07-24T04:00:26.2696950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-7b-w
2025-07-24T04:00:26.2698020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d132
2025-07-24T04:00:26.2699160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d230c
2025-07-24T04:00:26.2700330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7102-sna
2025-07-24T04:00:26.2701460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/delta
2025-07-24T04:00:26.2702570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-dg
2025-07-24T04:00:26.2703850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7103-sna
2025-07-24T04:00:26.2704940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix
2025-07-24T04:00:26.2706130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7003-dumb
2025-07-24T04:00:26.2707270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-7b
2025-07-24T04:00:26.2708450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmchat
2025-07-24T04:00:26.2709780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x48-m
2025-07-24T04:00:26.2710840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt220
2025-07-24T04:00:26.2712160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-w-ccc
2025-07-24T04:00:26.2713250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm3025
2025-07-24T04:00:26.2714380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+s
2025-07-24T04:00:26.2715670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw1
2025-07-24T04:00:26.2716900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216-unix-25
2025-07-24T04:00:26.2718100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+25
2025-07-24T04:00:26.2719200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-w
2025-07-24T04:00:26.2720420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-144x48-m
2025-07-24T04:00:26.2721590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt330
2025-07-24T04:00:26.2722810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d578-dg
2025-07-24T04:00:26.2724260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datapoint
2025-07-24T04:00:26.2725290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211
2025-07-24T04:00:26.2726470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462e-dg
2025-07-24T04:00:26.2727540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+
2025-07-24T04:00:26.2728920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-25
2025-07-24T04:00:26.2729980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80
2025-07-24T04:00:26.2731210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-s-ccc
2025-07-24T04:00:26.2732190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d220
2025-07-24T04:00:26.2733530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-w
2025-07-24T04:00:26.2734630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dialogue80
2025-07-24T04:00:26.2735830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-25
2025-07-24T04:00:26.2736860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dumb
2025-07-24T04:00:26.2738270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-sr-ccc
2025-07-24T04:00:26.2739470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg-generic
2025-07-24T04:00:26.2740740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-unix-25
2025-07-24T04:00:26.2741880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7003
2025-07-24T04:00:26.2743090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-25
2025-07-24T04:00:26.2744320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-112x37-m
2025-07-24T04:00:26.2745470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+25
2025-07-24T04:00:26.2746640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1720
2025-07-24T04:00:26.2747710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470
2025-07-24T04:00:26.2749110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-s
2025-07-24T04:00:26.2750270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-s
2025-07-24T04:00:26.2751410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decpro
2025-07-24T04:00:26.2752260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d210
2025-07-24T04:00:26.2753220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datagraphix
2025-07-24T04:00:26.2754070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216-dg
2025-07-24T04:00:26.2755000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-sr
2025-07-24T04:00:26.2755950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x25-m
2025-07-24T04:00:26.2756840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-7b-w
2025-07-24T04:00:26.2757790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-ccc
2025-07-24T04:00:26.2758740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-sr
2025-07-24T04:00:26.2759620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt340
2025-07-24T04:00:26.2760480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmdt80w
2025-07-24T04:00:26.2761490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dumb-emacs-ansi
2025-07-24T04:00:26.2762310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm80w
2025-07-24T04:00:26.2763210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-dg
2025-07-24T04:00:26.2764110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+11
2025-07-24T04:00:26.2765060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datamedia2500
2025-07-24T04:00:26.2765920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dtc382
2025-07-24T04:00:26.2766800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-w
2025-07-24T04:00:26.2767750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7102-old
2025-07-24T04:00:26.2768640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-m
2025-07-24T04:00:26.2769570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216-unix
2025-07-24T04:00:26.2770760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-dg
2025-07-24T04:00:26.2771930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-7b-w
2025-07-24T04:00:26.2773140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-s
2025-07-24T04:00:26.2774380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-sr
2025-07-24T04:00:26.2775540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+color8
2025-07-24T04:00:26.2776640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp
2025-07-24T04:00:26.2783010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-112x37
2025-07-24T04:00:26.2783260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e-dg
2025-07-24T04:00:26.2783480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-25
2025-07-24T04:00:26.2783670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ddr3180
2025-07-24T04:00:26.2783880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+7b
2025-07-24T04:00:26.2784080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-dg
2025-07-24T04:00:26.2784610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-dg-ccc
2025-07-24T04:00:26.2785780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-sr-ccc
2025-07-24T04:00:26.2786810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d400
2025-07-24T04:00:26.2787790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-dg
2025-07-24T04:00:26.2788800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+sr
2025-07-24T04:00:26.2789970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-b
2025-07-24T04:00:26.2791120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-sr
2025-07-24T04:00:26.2792450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgmode+color8
2025-07-24T04:00:26.2793600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix
2025-07-24T04:00:26.2794600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt110
2025-07-24T04:00:26.2795860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-ccc
2025-07-24T04:00:26.2797000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg-ansi
2025-07-24T04:00:26.2798090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+fixed
2025-07-24T04:00:26.2799000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmd
2025-07-24T04:00:26.2800100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt-100w
2025-07-24T04:00:26.2801190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640
2025-07-24T04:00:26.2802350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x40
2025-07-24T04:00:26.2803510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-dg
2025-07-24T04:00:26.2804670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dataspeed40
2025-07-24T04:00:26.2805780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+w
2025-07-24T04:00:26.2806800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dd5000
2025-07-24T04:00:26.2808080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt400
2025-07-24T04:00:26.2809130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dp3360
2025-07-24T04:00:26.2810210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6053-old
2025-07-24T04:00:26.2811150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg210
2025-07-24T04:00:26.2812530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x64-m
2025-07-24T04:00:26.2813630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-s
2025-07-24T04:00:26.2814770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x48
2025-07-24T04:00:26.2815900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x64
2025-07-24T04:00:26.2816870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmterm
2025-07-24T04:00:26.2817890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+
2025-07-24T04:00:26.2818890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo-lm
2025-07-24T04:00:26.2820100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decansi
2025-07-24T04:00:26.2821210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-7b-w
2025-07-24T04:00:26.2822360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-w
2025-07-24T04:00:26.2823360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+25
2025-07-24T04:00:26.2824720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-m-b
2025-07-24T04:00:26.2825990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-unix
2025-07-24T04:00:26.2827190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d578-7b
2025-07-24T04:00:26.2828160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+sr
2025-07-24T04:00:26.2829140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ds40-2
2025-07-24T04:00:26.2830330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg211
2025-07-24T04:00:26.2831590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80w
2025-07-24T04:00:26.2832550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-dg
2025-07-24T04:00:26.2833730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-w
2025-07-24T04:00:26.2834990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-w
2025-07-24T04:00:26.2836060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d230c-dg
2025-07-24T04:00:26.2837050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d80
2025-07-24T04:00:26.2837950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw3
2025-07-24T04:00:26.2839210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-90x30
2025-07-24T04:00:26.2840420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt-100
2025-07-24T04:00:26.2841500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+ccc
2025-07-24T04:00:26.2842400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw4
2025-07-24T04:00:26.2843480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dwk-vt
2025-07-24T04:00:26.2844430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-dg
2025-07-24T04:00:26.2845620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-90x30-m
2025-07-24T04:00:26.2846780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgunix+fixed
2025-07-24T04:00:26.2847930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dialogue
2025-07-24T04:00:26.2848950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-dg
2025-07-24T04:00:26.2849910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg450
2025-07-24T04:00:26.2850920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555
2025-07-24T04:00:26.2852020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470-dg
2025-07-24T04:00:26.2853020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm3045
2025-07-24T04:00:26.2854100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm1520
2025-07-24T04:00:26.2855330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decwriter
2025-07-24T04:00:26.2856480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-100x37
2025-07-24T04:00:26.2857730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x30
2025-07-24T04:00:26.2858840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-w
2025-07-24T04:00:26.2860020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm2500
2025-07-24T04:00:26.2861260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix
2025-07-24T04:00:26.2862310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d215-7b
2025-07-24T04:00:26.2863380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+
2025-07-24T04:00:26.2864450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470c-7b
2025-07-24T04:00:26.2865610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1620-m8
2025-07-24T04:00:26.2866620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80-sas
2025-07-24T04:00:26.2867800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+w
2025-07-24T04:00:26.2868890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d450-dg
2025-07-24T04:00:26.2870050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-sr
2025-07-24T04:00:26.2871490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x75
2025-07-24T04:00:26.2872520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-256x96
2025-07-24T04:00:26.2873660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw2
2025-07-24T04:00:26.2874710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg605x
2025-07-24T04:00:26.2875960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x75-m
2025-07-24T04:00:26.2877130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgmode+color
2025-07-24T04:00:26.2878220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d2-dg
2025-07-24T04:00:26.2879250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-dg
2025-07-24T04:00:26.2880200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmd1
2025-07-24T04:00:26.2881240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm1521
2025-07-24T04:00:26.2882390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-25-ccc
2025-07-24T04:00:26.2883430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dwk
2025-07-24T04:00:26.2884600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6053
2025-07-24T04:00:26.2885760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x40-m
2025-07-24T04:00:26.2886800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo
2025-07-24T04:00:26.2887840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211-7b
2025-07-24T04:00:26.2888950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg200
2025-07-24T04:00:26.2890160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+color
2025-07-24T04:00:26.2891480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-25
2025-07-24T04:00:26.2892600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dtterm
2025-07-24T04:00:26.2893790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-160x64
2025-07-24T04:00:26.2894970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dvtm-256color
2025-07-24T04:00:26.2896140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dp8242
2025-07-24T04:00:26.2897350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d400-dg
2025-07-24T04:00:26.2898740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410
2025-07-24T04:00:26.2899990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-sr
2025-07-24T04:00:26.2901250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1740
2025-07-24T04:00:26.2902450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-100x37-m
2025-07-24T04:00:26.2903700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-s
2025-07-24T04:00:26.2904910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-dg
2025-07-24T04:00:26.2906000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+dg
2025-07-24T04:00:26.2907100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d215
2025-07-24T04:00:26.2908370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-25
2025-07-24T04:00:26.2909420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt100
2025-07-24T04:00:26.2910550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix
2025-07-24T04:00:26.2911640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec+pp
2025-07-24T04:00:26.2913040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-s
2025-07-24T04:00:26.2914080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411
2025-07-24T04:00:26.2915200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix
2025-07-24T04:00:26.2916510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640-m8
2025-07-24T04:00:26.2917450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d2
2025-07-24T04:00:26.2918650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e+
2025-07-24T04:00:26.2919800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw
2025-07-24T04:00:26.2921010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-dg
2025-07-24T04:00:26.2922130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dvtm
2025-07-24T04:00:26.2923280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-dg
2025-07-24T04:00:26.2924540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec+sl
2025-07-24T04:00:26.2925790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7202
2025-07-24T04:00:26.2927010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-256x96-m
2025-07-24T04:00:26.2928160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-w
2025-07-24T04:00:26.2929290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-w
2025-07-24T04:00:26.2930510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-w
2025-07-24T04:00:26.2931920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-w
2025-07-24T04:00:26.2933080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgunix+ccc
2025-07-24T04:00:26.2934260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d220-7b
2025-07-24T04:00:26.2935530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt100
2025-07-24T04:00:26.2936470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d214
2025-07-24T04:00:26.2937680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo630
2025-07-24T04:00:26.2938750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix
2025-07-24T04:00:26.2939860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d800
2025-07-24T04:00:26.2941000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt100w
2025-07-24T04:00:26.2942240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e+dg
2025-07-24T04:00:26.2943310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460
2025-07-24T04:00:26.2944510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1730
2025-07-24T04:00:26.2945630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d200
2025-07-24T04:00:26.2946490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ddr
2025-07-24T04:00:26.2947460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-sr
2025-07-24T04:00:26.2948380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-w
2025-07-24T04:00:26.2949280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-f2
2025-07-24T04:00:26.2950140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin
2025-07-24T04:00:26.2951400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470c-dg
2025-07-24T04:00:26.2952280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+dg
2025-07-24T04:00:26.2953210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp203
2025-07-24T04:00:26.2954270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp204
2025-07-24T04:00:26.2955330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211-dg
2025-07-24T04:00:26.2956600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6134
2025-07-24T04:00:26.2957800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-7b
2025-07-24T04:00:26.2958940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm80
2025-07-24T04:00:26.2960150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-25
2025-07-24T04:00:26.2961360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-w-ccc
2025-07-24T04:00:26.2962520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+15
2025-07-24T04:00:26.2963750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-7b-w
2025-07-24T04:00:26.2964940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d450
2025-07-24T04:00:26.2966140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-f
2025-07-24T04:00:26.2967320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x30-m
2025-07-24T04:00:26.2968420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-7b
2025-07-24T04:00:26.2969560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg100
2025-07-24T04:00:26.2970740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461
2025-07-24T04:00:26.2972040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640-lm
2025-07-24T04:00:26.2973050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d230
2025-07-24T04:00:26.2974400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-144x48
2025-07-24T04:00:26.2975490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d215-dg
2025-07-24T04:00:26.2976580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+8b
2025-07-24T04:00:26.2977720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo450
2025-07-24T04:00:26.2978860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470-7b
2025-07-24T04:00:26.2979930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/domterm
2025-07-24T04:00:26.2981080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470c
2025-07-24T04:00:26.2982310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix
2025-07-24T04:00:26.2983450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-7b
2025-07-24T04:00:26.2984720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e-unix
2025-07-24T04:00:26.2985960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x25
2025-07-24T04:00:26.2987110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-7b
2025-07-24T04:00:26.2988310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-25-ccc
2025-07-24T04:00:26.2989500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-dg-ccc
2025-07-24T04:00:26.2990540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-w
2025-07-24T04:00:26.2991900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-160x64-m
2025-07-24T04:00:26.2992860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d578
2025-07-24T04:00:26.2993970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d230-dg
2025-07-24T04:00:26.2995160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dtc300s
2025-07-24T04:00:26.2996350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg460-ansi
2025-07-24T04:00:26.2997500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-w
2025-07-24T04:00:26.2998580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ds40
2025-07-24T04:00:26.2999710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+dg
2025-07-24T04:00:26.3000820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d214-dg
2025-07-24T04:00:26.3001970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d220-dg
2025-07-24T04:00:26.3003340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1740-lm
2025-07-24T04:00:26.3004500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+s
2025-07-24T04:00:26.3005720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decid+cpr
2025-07-24T04:00:26.3006820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmd-24
2025-07-24T04:00:26.3008000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-m-f2
2025-07-24T04:00:26.3009170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-s-ccc
2025-07-24T04:00:26.3010400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-s
2025-07-24T04:00:26.3011540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1620
2025-07-24T04:00:26.3012780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d200-dg
2025-07-24T04:00:26.3013860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577
2025-07-24T04:00:26.3015220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-sr
2025-07-24T04:00:26.3016510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d210-dg
2025-07-24T04:00:26.3017750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-s
2025-07-24T04:00:26.3019000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-m-f
2025-07-24T04:00:26.3020150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-25
2025-07-24T04:00:26.3021290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-7b
2025-07-24T04:00:26.3022520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix
2025-07-24T04:00:26.3023590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7102
2025-07-24T04:00:26.3024830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/41/Apple_Terminal
2025-07-24T04:00:26.3026060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-42
2025-07-24T04:00:26.3027170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-epc-w
2025-07-24T04:00:26.3028320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-48wpc
2025-07-24T04:00:26.3029570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-25
2025-07-24T04:00:26.3030660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75-mc
2025-07-24T04:00:26.3031820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-w
2025-07-24T04:00:26.3033320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-25-w
2025-07-24T04:00:26.3034490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-w-vb
2025-07-24T04:00:26.3035750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-42wvb
2025-07-24T04:00:26.3036870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-w
2025-07-24T04:00:26.3038020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75-wvb
2025-07-24T04:00:26.3039280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-42-w
2025-07-24T04:00:26.3040300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-wvb
2025-07-24T04:00:26.3041410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50-vb
2025-07-24T04:00:26.3042620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-25
2025-07-24T04:00:26.3043900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-w
2025-07-24T04:00:26.3045080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-43-w
2025-07-24T04:00:26.3046260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-25
2025-07-24T04:00:26.3047520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-wvb
2025-07-24T04:00:26.3048890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-43
2025-07-24T04:00:26.3050030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75ap
2025-07-24T04:00:26.3051260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-w-vb
2025-07-24T04:00:26.3052460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75
2025-07-24T04:00:26.3053590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy30-mc
2025-07-24T04:00:26.3054720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-vb
2025-07-24T04:00:26.3055930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-36pc
2025-07-24T04:00:26.3057050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-36w
2025-07-24T04:00:26.3058340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-316X
2025-07-24T04:00:26.3059510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-vb
2025-07-24T04:00:26.3060770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-25
2025-07-24T04:00:26.3062020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-25
2025-07-24T04:00:26.3063040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-w
2025-07-24T04:00:26.3064180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-AT
2025-07-24T04:00:26.3065340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse370
2025-07-24T04:00:26.3066530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy100
2025-07-24T04:00:26.3067670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85-vb
2025-07-24T04:00:26.3068830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse350-w
2025-07-24T04:00:26.3069920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy30-vb
2025-07-24T04:00:26.3071320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-25
2025-07-24T04:00:26.3072470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-w
2025-07-24T04:00:26.3073570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350
2025-07-24T04:00:26.3074670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120
2025-07-24T04:00:26.3075780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50
2025-07-24T04:00:26.3077020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325w-24
2025-07-24T04:00:26.3078300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-42w
2025-07-24T04:00:26.3079420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-wvb
2025-07-24T04:00:26.3080540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520
2025-07-24T04:00:26.3081830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-wvb
2025-07-24T04:00:26.3082910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75-vb
2025-07-24T04:00:26.3084120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-25-w
2025-07-24T04:00:26.3085260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-48w
2025-07-24T04:00:26.3086420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-43wvb
2025-07-24T04:00:26.3087600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-w
2025-07-24T04:00:26.3088800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-w
2025-07-24T04:00:26.3090000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50-mc
2025-07-24T04:00:26.3091180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-25
2025-07-24T04:00:26.3092430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325
2025-07-24T04:00:26.3093600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-wvb
2025-07-24T04:00:26.3094750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-epc
2025-07-24T04:00:26.3095820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-vb
2025-07-24T04:00:26.3097000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60
2025-07-24T04:00:26.3098110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-25
2025-07-24T04:00:26.3099340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-25-w
2025-07-24T04:00:26.3100570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wsvt25
2025-07-24T04:00:26.3101770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-vb
2025-07-24T04:00:26.3102810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150
2025-07-24T04:00:26.3104020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-43
2025-07-24T04:00:26.3105080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wrenw
2025-07-24T04:00:26.3106330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-42w-vb
2025-07-24T04:00:26.3107340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75
2025-07-24T04:00:26.3108530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75ap
2025-07-24T04:00:26.3109710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-wvb
2025-07-24T04:00:26.3110840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185-w
2025-07-24T04:00:26.3111990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-43-w
2025-07-24T04:00:26.3113120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-vb
2025-07-24T04:00:26.3114290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185
2025-07-24T04:00:26.3115510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-42
2025-07-24T04:00:26.3116680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-w
2025-07-24T04:00:26.3117780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-316X
2025-07-24T04:00:26.3118830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160
2025-07-24T04:00:26.3119970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-vb
2025-07-24T04:00:26.3121150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wsvt25m
2025-07-24T04:00:26.3122260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-36w
2025-07-24T04:00:26.3123420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-43w-vb
2025-07-24T04:00:26.3124570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy-99fgt
2025-07-24T04:00:26.3125770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-wvb
2025-07-24T04:00:26.3126930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-vb
2025-07-24T04:00:26.3127990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50
2025-07-24T04:00:26.3129080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-25
2025-07-24T04:00:26.3130250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-w
2025-07-24T04:00:26.3131310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-PC
2025-07-24T04:00:26.3132510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-42-w
2025-07-24T04:00:26.3133680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-vb
2025-07-24T04:00:26.3134790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-42w
2025-07-24T04:00:26.3135960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-80
2025-07-24T04:00:26.3137200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-w
2025-07-24T04:00:26.3138330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-42
2025-07-24T04:00:26.3139520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-48w
2025-07-24T04:00:26.3140610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-w-vb
2025-07-24T04:00:26.3141800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99fa
2025-07-24T04:00:26.3142850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wren
2025-07-24T04:00:26.3144110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-vb
2025-07-24T04:00:26.3145360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-24
2025-07-24T04:00:26.3146620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-wvb
2025-07-24T04:00:26.3147770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy100q
2025-07-24T04:00:26.3148920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-wvb
2025-07-24T04:00:26.3149960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse-75ap
2025-07-24T04:00:26.3150790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60
2025-07-24T04:00:26.3151700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc
2025-07-24T04:00:26.3152640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-vb
2025-07-24T04:00:26.3153500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-43
2025-07-24T04:00:26.3154420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-36pc
2025-07-24T04:00:26.3155590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-36wpc
2025-07-24T04:00:26.3156640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wsiris
2025-07-24T04:00:26.3157750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-w-vb
2025-07-24T04:00:26.3158990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-wvb
2025-07-24T04:00:26.3160110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-vb
2025-07-24T04:00:26.3161280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy-75ap
2025-07-24T04:00:26.3162380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-w
2025-07-24T04:00:26.3163630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-42
2025-07-24T04:00:26.3164710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350-vb
2025-07-24T04:00:26.3165850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-w
2025-07-24T04:00:26.3167020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt
2025-07-24T04:00:26.3168300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85
2025-07-24T04:00:26.3169500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-48
2025-07-24T04:00:26.3170680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85-8bit
2025-07-24T04:00:26.3171960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-w-vb
2025-07-24T04:00:26.3173320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-48pc
2025-07-24T04:00:26.3174500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-tek
2025-07-24T04:00:26.3175640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-42-w
2025-07-24T04:00:26.3176760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99-ansi
2025-07-24T04:00:26.3177990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-wvb
2025-07-24T04:00:26.3179110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-vb
2025-07-24T04:00:26.3180260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-25
2025-07-24T04:00:26.3181400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse-325
2025-07-24T04:00:26.3182570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185-wvb
2025-07-24T04:00:26.3183660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-43w
2025-07-24T04:00:26.3184810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-PC
2025-07-24T04:00:26.3185860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185-vb
2025-07-24T04:00:26.3187110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350-wvb
2025-07-24T04:00:26.3188210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-105k
2025-07-24T04:00:26.3189700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-24
2025-07-24T04:00:26.3191080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-43
2025-07-24T04:00:26.3192200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-25w
2025-07-24T04:00:26.3193540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-25-w
2025-07-24T04:00:26.3194550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150
2025-07-24T04:00:26.3195900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-pc-24
2025-07-24T04:00:26.3197220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-25-w
2025-07-24T04:00:26.3198510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-48
2025-07-24T04:00:26.3199640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-nk
2025-07-24T04:00:26.3200780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185-w
2025-07-24T04:00:26.3202040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-24
2025-07-24T04:00:26.3203210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-43
2025-07-24T04:00:26.3204210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99f
2025-07-24T04:00:26.3205420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99fgt
2025-07-24T04:00:26.3206690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185-vb
2025-07-24T04:00:26.3207770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-w
2025-07-24T04:00:26.3208960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-43-w
2025-07-24T04:00:26.3210240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-wvb
2025-07-24T04:00:26.3211400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160
2025-07-24T04:00:26.3212560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-vb
2025-07-24T04:00:26.3213790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-36wpc
2025-07-24T04:00:26.3215100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-25-w
2025-07-24T04:00:26.3216420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99a-ansi
2025-07-24T04:00:26.3217470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse30
2025-07-24T04:00:26.3218520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-w-vb
2025-07-24T04:00:26.3219690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse350-vb
2025-07-24T04:00:26.3220780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185
2025-07-24T04:00:26.3221990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-42
2025-07-24T04:00:26.3223090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50-w
2025-07-24T04:00:26.3224360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-vb
2025-07-24T04:00:26.3225500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-p-wvb
2025-07-24T04:00:26.3226710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185-24
2025-07-24T04:00:26.3227880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-25-w
2025-07-24T04:00:26.3229160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-wvb
2025-07-24T04:00:26.3230330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-36
2025-07-24T04:00:26.3231480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-vb
2025-07-24T04:00:26.3232570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse350
2025-07-24T04:00:26.3233770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120
2025-07-24T04:00:26.3234850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy75-w
2025-07-24T04:00:26.3236090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-pc-vb
2025-07-24T04:00:26.3237270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-48wpc
2025-07-24T04:00:26.3238500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-w
2025-07-24T04:00:26.3239720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-w
2025-07-24T04:00:26.3240850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-w
2025-07-24T04:00:26.3242130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-mc
2025-07-24T04:00:26.3243350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt
2025-07-24T04:00:26.3244490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-wvb
2025-07-24T04:00:26.3245750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-25
2025-07-24T04:00:26.3246820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370
2025-07-24T04:00:26.3248070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-43-w
2025-07-24T04:00:26.3249190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-tek
2025-07-24T04:00:26.3250470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-AT
2025-07-24T04:00:26.3251700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-wvb
2025-07-24T04:00:26.3252800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85-wvb
2025-07-24T04:00:26.3254060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-25-w
2025-07-24T04:00:26.3255330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-vb
2025-07-24T04:00:26.3256590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350-w
2025-07-24T04:00:26.3257630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-42-w
2025-07-24T04:00:26.3258920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-8bit
2025-07-24T04:00:26.3260000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325
2025-07-24T04:00:26.3261090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85
2025-07-24T04:00:26.3262390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-25w
2025-07-24T04:00:26.3263560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-w
2025-07-24T04:00:26.3264770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520
2025-07-24T04:00:26.3266000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse30-vb
2025-07-24T04:00:26.3267070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse350-wvb
2025-07-24T04:00:26.3268400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185-wvb
2025-07-24T04:00:26.3269560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-43w
2025-07-24T04:00:26.3270620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-43
2025-07-24T04:00:26.3271780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-wvb
2025-07-24T04:00:26.3273060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-wvb
2025-07-24T04:00:26.3274240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse30-mc
2025-07-24T04:00:26.3275360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85-w
2025-07-24T04:00:26.3276460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-vb
2025-07-24T04:00:26.3277570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-101k
2025-07-24T04:00:26.3278720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse+sl
2025-07-24T04:00:26.3279900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99fgta
2025-07-24T04:00:26.3280990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse-vp
2025-07-24T04:00:26.3282090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy30
2025-07-24T04:00:26.3283410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-48pc
2025-07-24T04:00:26.3284450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-36
2025-07-24T04:00:26.3285690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-w-vb
2025-07-24T04:00:26.3286910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185-24
2025-07-24T04:00:26.3288000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-42
2025-07-24T04:00:26.3289140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-tek
2025-07-24T04:00:26.3290290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-w
2025-07-24T04:00:26.3291460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-mc
2025-07-24T04:00:26.3292700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-vb
2025-07-24T04:00:26.3293900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-25
2025-07-24T04:00:26.3295030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50-wvb
2025-07-24T04:00:26.3296250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-rv
2025-07-24T04:00:26.3297300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-vb
2025-07-24T04:00:26.3298700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy-99fgta
2025-07-24T04:00:26.3299950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-25-w
2025-07-24T04:00:26.3301080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-w
2025-07-24T04:00:26.3302260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-EPC
2025-07-24T04:00:26.3303450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-25-w
2025-07-24T04:00:26.3304590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25
2025-07-24T04:00:26.3305790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon0
2025-07-24T04:00:26.3306830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt210
2025-07-24T04:00:26.3308060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3-bold
2025-07-24T04:00:26.3309090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p4
2025-07-24T04:00:26.3310390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14-m
2025-07-24T04:00:26.3311510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9-w
2025-07-24T04:00:26.3312700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-43-m
2025-07-24T04:00:26.3313890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+keypad
2025-07-24T04:00:26.3314920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt40
2025-07-24T04:00:26.3316050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14-w
2025-07-24T04:00:26.3317210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14-m
2025-07-24T04:00:26.3318340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt200w
2025-07-24T04:00:26.3319540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14-w
2025-07-24T04:00:26.3320590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccons
2025-07-24T04:00:26.3321800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9-8-w
2025-07-24T04:00:26.3322970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pmconsole
2025-07-24T04:00:26.3324100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvtXX
2025-07-24T04:00:26.3325120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p5
2025-07-24T04:00:26.3326310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-vt100
2025-07-24T04:00:26.3327340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p19
2025-07-24T04:00:26.3328500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty
2025-07-24T04:00:26.3329720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-8-w
2025-07-24T04:00:26.3330900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc6300plus
2025-07-24T04:00:26.3332250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-96x48
2025-07-24T04:00:26.3333360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcconsole
2025-07-24T04:00:26.3334480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pro350
2025-07-24T04:00:26.3335700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit12
2025-07-24T04:00:26.3336760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi25
2025-07-24T04:00:26.3337840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-8
2025-07-24T04:00:26.3339100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+xterm
2025-07-24T04:00:26.3340150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc-venix
2025-07-24T04:00:26.3341320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-basic
2025-07-24T04:00:26.3342400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit
2025-07-24T04:00:26.3343650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+sgr+acs0
2025-07-24T04:00:26.3344730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-43
2025-07-24T04:00:26.3345820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pty
2025-07-24T04:00:26.3347050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt505
2025-07-24T04:00:26.3348270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon
2025-07-24T04:00:26.3349430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism7
2025-07-24T04:00:26.3350690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc-minix
2025-07-24T04:00:26.3351870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9
2025-07-24T04:00:26.3353030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit120
2025-07-24T04:00:26.3354090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt50w
2025-07-24T04:00:26.3354950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8
2025-07-24T04:00:26.3355910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-fast
2025-07-24T04:00:26.3356770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/printer
2025-07-24T04:00:26.3357630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe1251
2025-07-24T04:00:26.3358550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-33
2025-07-24T04:00:26.3359440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt35w
2025-07-24T04:00:26.3360470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+vt400
2025-07-24T04:00:26.3361350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-25-m
2025-07-24T04:00:26.3362330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14-m-w
2025-07-24T04:00:26.3363130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8-w
2025-07-24T04:00:26.3364030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-m
2025-07-24T04:00:26.3364900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8gl
2025-07-24T04:00:26.3365850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+sgr+acs
2025-07-24T04:00:26.3366740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m1
2025-07-24T04:00:26.3367880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys
2025-07-24T04:00:26.3368990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-256color
2025-07-24T04:00:26.3370310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-90x28
2025-07-24T04:00:26.3371430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-mono
2025-07-24T04:00:26.3372590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt250
2025-07-24T04:00:26.3373740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe6100
2025-07-24T04:00:26.3375000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-m-w
2025-07-24T04:00:26.3376170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcz19
2025-07-24T04:00:26.3377380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9-8
2025-07-24T04:00:26.3378500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm
2025-07-24T04:00:26.3379830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+vt100
2025-07-24T04:00:26.3380930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-m
2025-07-24T04:00:26.3382130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p7
2025-07-24T04:00:26.3383230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt43
2025-07-24T04:00:26.3384340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9
2025-07-24T04:00:26.3385540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-w
2025-07-24T04:00:26.3386780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt40w
2025-07-24T04:00:26.3388060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt28
2025-07-24T04:00:26.3389190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe1100
2025-07-24T04:00:26.3390430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc-coherent
2025-07-24T04:00:26.3391620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe550
2025-07-24T04:00:26.3392850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8
2025-07-24T04:00:26.3393990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-m-w
2025-07-24T04:00:26.3400130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3
2025-07-24T04:00:26.3400350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcmw
2025-07-24T04:00:26.3400560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt43w
2025-07-24T04:00:26.3400770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-m
2025-07-24T04:00:26.3400970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-w
2025-07-24T04:00:26.3401170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3r-m
2025-07-24T04:00:26.3401370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25w
2025-07-24T04:00:26.3402310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe6312
2025-07-24T04:00:26.3403290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-sco
2025-07-24T04:00:26.3404450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+esc
2025-07-24T04:00:26.3405430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-w
2025-07-24T04:00:26.3406500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3r
2025-07-24T04:00:26.3407710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12
2025-07-24T04:00:26.3409030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe7000m
2025-07-24T04:00:26.3410090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m1b
2025-07-24T04:00:26.3411180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi
2025-07-24T04:00:26.3412200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe7000c
2025-07-24T04:00:26.3413420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25-color
2025-07-24T04:00:26.3414500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi43
2025-07-24T04:00:26.3415590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14
2025-07-24T04:00:26.3416690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14-m-w
2025-07-24T04:00:26.3417720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14
2025-07-24T04:00:26.3418970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-noapp
2025-07-24T04:00:26.3419990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pilot
2025-07-24T04:00:26.3421110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12
2025-07-24T04:00:26.3422200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+colors
2025-07-24T04:00:26.3423620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+linux
2025-07-24T04:00:26.3424960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi25m
2025-07-24T04:00:26.3425950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psx_ansi
2025-07-24T04:00:26.3427110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-25
2025-07-24T04:00:26.3428150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt100
2025-07-24T04:00:26.3429230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/ps300
2025-07-24T04:00:26.3430260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe1200
2025-07-24T04:00:26.3431270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt250w
2025-07-24T04:00:26.3432370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8gl
2025-07-24T04:00:26.3433490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi33
2025-07-24T04:00:26.3434580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism4
2025-07-24T04:00:26.3435670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt505-24
2025-07-24T04:00:26.3436690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8-w
2025-07-24T04:00:26.3437750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcplot
2025-07-24T04:00:26.3438930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+sco
2025-07-24T04:00:26.3440100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-screen
2025-07-24T04:00:26.3441310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+keys
2025-07-24T04:00:26.3442410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism5
2025-07-24T04:00:26.3443560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt505-22
2025-07-24T04:00:26.3444610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism2
2025-07-24T04:00:26.3445700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m2
2025-07-24T04:00:26.3446800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc7300
2025-07-24T04:00:26.3448040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-80x24
2025-07-24T04:00:26.3449080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+base
2025-07-24T04:00:26.3450260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi33m
2025-07-24T04:00:26.3451280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon-m
2025-07-24T04:00:26.3452420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt100w
2025-07-24T04:00:26.3453440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe6300
2025-07-24T04:00:26.3454580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt200
2025-07-24T04:00:26.3455600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt35
2025-07-24T04:00:26.3456820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt28w
2025-07-24T04:00:26.3457850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pmcons
2025-07-24T04:00:26.3458850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcix
2025-07-24T04:00:26.3459880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon0-m
2025-07-24T04:00:26.3460930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt50
2025-07-24T04:00:26.3462220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-33-m
2025-07-24T04:00:26.3463380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+screen
2025-07-24T04:00:26.3464500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qdcons
2025-07-24T04:00:26.3465540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203
2025-07-24T04:00:26.3466710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p-25
2025-07-24T04:00:26.3467800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-25-w
2025-07-24T04:00:26.3469030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p-25-w
2025-07-24T04:00:26.3470060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt
2025-07-24T04:00:26.3471240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-25
2025-07-24T04:00:26.3472390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119
2025-07-24T04:00:26.3473600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnx
2025-07-24T04:00:26.3474640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt4
2025-07-24T04:00:26.3475810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt103
2025-07-24T04:00:26.3476900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119-w
2025-07-24T04:00:26.3478000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p
2025-07-24T04:00:26.3479040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-g
2025-07-24T04:00:26.3480190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-25-w
2025-07-24T04:00:26.3481230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-w
2025-07-24T04:00:26.3482360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt102
2025-07-24T04:00:26.3483520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-t
2025-07-24T04:00:26.3484590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt2
2025-07-24T04:00:26.3485820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-w
2025-07-24T04:00:26.3487240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101p
2025-07-24T04:00:26.3488460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxtmono
2025-07-24T04:00:26.3489560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt103-w
2025-07-24T04:00:26.3490690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-25
2025-07-24T04:00:26.3491750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qume
2025-07-24T04:00:26.3493040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-w-am
2025-07-24T04:00:26.3494160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxw
2025-07-24T04:00:26.3495400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnx4
2025-07-24T04:00:26.3496520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p-w
2025-07-24T04:00:26.3497540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxm
2025-07-24T04:00:26.3498710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-m
2025-07-24T04:00:26.3499750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qdss
2025-07-24T04:00:26.3500920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-w
2025-07-24T04:00:26.3501940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101
2025-07-24T04:00:26.3503020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+
2025-07-24T04:00:26.3504160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt108
2025-07-24T04:00:26.3505260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qume5
2025-07-24T04:00:26.3506390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi
2025-07-24T04:00:26.3507460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101+
2025-07-24T04:00:26.3508660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203+
2025-07-24T04:00:26.3509830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119-25-w
2025-07-24T04:00:26.3510880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt61
2025-07-24T04:00:26.3511920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt330
2025-07-24T04:00:26.3513080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102
2025-07-24T04:00:26.3514210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt50
2025-07-24T04:00:26.3515370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp60
2025-07-24T04:00:26.3516480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-putty
2025-07-24T04:00:26.3517650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-8
2025-07-24T04:00:26.3518950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nav-w
2025-07-24T04:00:26.3520110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300
2025-07-24T04:00:26.3521250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt132
2025-07-24T04:00:26.3522390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc403a
2025-07-24T04:00:26.3523610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+pcedit
2025-07-24T04:00:26.3524760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s
2025-07-24T04:00:26.3525820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip
2025-07-24T04:00:26.3526980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-direct
2025-07-24T04:00:26.3528290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint90
2025-07-24T04:00:26.3529430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte+pcfkeys
2025-07-24T04:00:26.3530570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-nam
2025-07-24T04:00:26.3531730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vitty
2025-07-24T04:00:26.3532770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102-w
2025-07-24T04:00:26.3533890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/versaterm
2025-07-24T04:00:26.3534980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/visa50
2025-07-24T04:00:26.3536180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp3a+
2025-07-24T04:00:26.3537480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata
2025-07-24T04:00:26.3538670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2014
2025-07-24T04:00:26.3540070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi550
2025-07-24T04:00:26.3541210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102-nsgr
2025-07-24T04:00:26.3542420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-old
2025-07-24T04:00:26.3543530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt-61
2025-07-24T04:00:26.3544840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-k311
2025-07-24T04:00:26.3546020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+
2025-07-24T04:00:26.3547290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+keypad
2025-07-24T04:00:26.3548300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vtnt
2025-07-24T04:00:26.3549510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+4bsd
2025-07-24T04:00:26.3550620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata-o
2025-07-24T04:00:26.3551550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt61.5
2025-07-24T04:00:26.3552460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510pc
2025-07-24T04:00:26.3553320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc203
2025-07-24T04:00:26.3554200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v200-nam
2025-07-24T04:00:26.3555100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220
2025-07-24T04:00:26.3555990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-k3
2025-07-24T04:00:26.3556870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100nam
2025-07-24T04:00:26.3557760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2012
2025-07-24T04:00:26.3558610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi300
2025-07-24T04:00:26.3559550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vapple
2025-07-24T04:00:26.3560360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-H
2025-07-24T04:00:26.3561270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2008
2025-07-24T04:00:26.3562340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc415
2025-07-24T04:00:26.3563500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt400
2025-07-24T04:00:26.3564600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-vb
2025-07-24T04:00:26.3565850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+vtedit
2025-07-24T04:00:26.3567000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-nam
2025-07-24T04:00:26.3568120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v320n
2025-07-24T04:00:26.3569210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vv100
2025-07-24T04:00:26.3570400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+enq
2025-07-24T04:00:26.3571530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-w
2025-07-24T04:00:26.3572620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102+enq
2025-07-24T04:00:26.3573790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2007
2025-07-24T04:00:26.3574990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s-top
2025-07-24T04:00:26.3576040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc414
2025-07-24T04:00:26.3577390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-w
2025-07-24T04:00:26.3578560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52-basic
2025-07-24T04:00:26.3579580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vk100
2025-07-24T04:00:26.3580810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-8bit
2025-07-24T04:00:26.3581890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt520
2025-07-24T04:00:26.3583100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt340
2025-07-24T04:00:26.3584170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vs100-x10
2025-07-24T04:00:26.3585360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nam-w
2025-07-24T04:00:26.3586490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi55
2025-07-24T04:00:26.3587600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi603
2025-07-24T04:00:26.3588810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vwmterm
2025-07-24T04:00:26.3590100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420pcdos
2025-07-24T04:00:26.3591230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-js
2025-07-24T04:00:26.3592310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vs100
2025-07-24T04:00:26.3593580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt520ansi
2025-07-24T04:00:26.3594660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510
2025-07-24T04:00:26.3595840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-js
2025-07-24T04:00:26.3597130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-256color
2025-07-24T04:00:26.3598280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-w
2025-07-24T04:00:26.3599410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+cvis
2025-07-24T04:00:26.3600540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc103
2025-07-24T04:00:26.3601700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-8bit
2025-07-24T04:00:26.3603000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi300-old
2025-07-24T04:00:26.3604060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-w
2025-07-24T04:00:26.3605220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp90
2025-07-24T04:00:26.3606470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+fnkeys
2025-07-24T04:00:26.3607600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200-f
2025-07-24T04:00:26.3608680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420f
2025-07-24T04:00:26.3609820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt400-24
2025-07-24T04:00:26.3610990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-w
2025-07-24T04:00:26.3612230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/visual603
2025-07-24T04:00:26.3613460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w
2025-07-24T04:00:26.3614670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint60
2025-07-24T04:00:26.3615830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52
2025-07-24T04:00:26.3616960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt131
2025-07-24T04:00:26.3618020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt50h
2025-07-24T04:00:26.3619240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100
2025-07-24T04:00:26.3620370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/venix
2025-07-24T04:00:26.3621530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2017
2025-07-24T04:00:26.3622750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-Hw
2025-07-24T04:00:26.3623870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc404
2025-07-24T04:00:26.3624970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420
2025-07-24T04:00:26.3626320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-nav
2025-07-24T04:00:26.3627400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte
2025-07-24T04:00:26.3628640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v3220
2025-07-24T04:00:26.3630190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bot-s
2025-07-24T04:00:26.3631420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-nam
2025-07-24T04:00:26.3632650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi500
2025-07-24T04:00:26.3633860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc414h
2025-07-24T04:00:26.3635120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52+keypad
2025-07-24T04:00:26.3636280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2018
2025-07-24T04:00:26.3637490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420+lrmm
2025-07-24T04:00:26.3638720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+pfkeys
2025-07-24T04:00:26.3639960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510pcdos
2025-07-24T04:00:26.3641130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vremote
2025-07-24T04:00:26.3642290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-top-s
2025-07-24T04:00:26.3643490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata-rv
2025-07-24T04:00:26.3644620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-w
2025-07-24T04:00:26.3645790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nav
2025-07-24T04:00:26.3647060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-base
2025-07-24T04:00:26.3648260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-w-nam
2025-07-24T04:00:26.3649410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint3a+
2025-07-24T04:00:26.3650500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nam
2025-07-24T04:00:26.3651790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bm-o
2025-07-24T04:00:26.3652940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi50adm
2025-07-24T04:00:26.3654150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-nam
2025-07-24T04:00:26.3655300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200
2025-07-24T04:00:26.3656810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220d
2025-07-24T04:00:26.3657820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vsc
2025-07-24T04:00:26.3659100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420pc
2025-07-24T04:00:26.3660350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-8
2025-07-24T04:00:26.3661760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vanilla
2025-07-24T04:00:26.3662960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vscode
2025-07-24T04:00:26.3664190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt125
2025-07-24T04:00:26.3665380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-Hw
2025-07-24T04:00:26.3666620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-old
2025-07-24T04:00:26.3667750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v5410
2025-07-24T04:00:26.3669040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+keypad
2025-07-24T04:00:26.3670270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc303a
2025-07-24T04:00:26.3671470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-am
2025-07-24T04:00:26.3672880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s-bot
2025-07-24T04:00:26.3674090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320nam
2025-07-24T04:00:26.3675380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-am
2025-07-24T04:00:26.3676550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320
2025-07-24T04:00:26.3677650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc303
2025-07-24T04:00:26.3678990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi50
2025-07-24T04:00:26.3680240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-H
2025-07-24T04:00:26.3681530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint
2025-07-24T04:00:26.3683100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc404-s
2025-07-24T04:00:26.3684560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+cvis8
2025-07-24T04:00:26.3685750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt-utf8
2025-07-24T04:00:26.3686980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200
2025-07-24T04:00:26.3688040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bm
2025-07-24T04:00:26.3689420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vscode-direct
2025-07-24T04:00:26.3690660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt525
2025-07-24T04:00:26.3692100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200-rv
2025-07-24T04:00:26.3693340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-w-nam
2025-07-24T04:00:26.3694480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-256color
2025-07-24T04:00:26.3695540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+r6f2
2025-07-24T04:00:26.3696820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-112x37
2025-07-24T04:00:26.3698010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+200x64
2025-07-24T04:00:26.3699230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x10mouse
2025-07-24T04:00:26.3700470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+128x48
2025-07-24T04:00:26.3701680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+osc104
2025-07-24T04:00:26.3702950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x64-m
2025-07-24T04:00:26.3704090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-color
2025-07-24T04:00:26.3705430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-16color
2025-07-24T04:00:26.3706970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v40
2025-07-24T04:00:26.3708220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+128x40
2025-07-24T04:00:26.3709800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m-b
2025-07-24T04:00:26.3711150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct256
2025-07-24T04:00:26.3712320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct2
2025-07-24T04:00:26.3713470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xgterm
2025-07-24T04:00:26.3714780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+88color
2025-07-24T04:00:26.3715850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+c
2025-07-24T04:00:26.3717150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pce2
2025-07-24T04:00:26.3718290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x64
2025-07-24T04:00:26.3719490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x48
2025-07-24T04:00:26.3720700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+app
2025-07-24T04:00:26.3721760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-8bit
2025-07-24T04:00:26.3722950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox820
2025-07-24T04:00:26.3724040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1750
2025-07-24T04:00:26.3725410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+112x37
2025-07-24T04:00:26.3726430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtermm
2025-07-24T04:00:26.3727620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xi
2025-07-24T04:00:26.3728890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc0
2025-07-24T04:00:26.3729980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-f
2025-07-24T04:00:26.3731220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-x11hilite
2025-07-24T04:00:26.3732340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtermc
2025-07-24T04:00:26.3733660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-80x25-m
2025-07-24T04:00:26.3734860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcf2
2025-07-24T04:00:26.3736010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+keypad
2025-07-24T04:00:26.3737180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm
2025-07-24T04:00:26.3738380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x40
2025-07-24T04:00:26.3739660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+noapp
2025-07-24T04:00:26.3740850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+b
2025-07-24T04:00:26.3742060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-basic
2025-07-24T04:00:26.3743220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+meta
2025-07-24T04:00:26.3744540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x11mouse
2025-07-24T04:00:26.3745680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-f2
2025-07-24T04:00:26.3746820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x820
2025-07-24T04:00:26.3747990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc1
2025-07-24T04:00:26.3749100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-r6
2025-07-24T04:00:26.3750130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1720
2025-07-24T04:00:26.3751390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm.js
2025-07-24T04:00:26.3752660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-88color
2025-07-24T04:00:26.3753860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+tmux2
2025-07-24T04:00:26.3755080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-144x48-m
2025-07-24T04:00:26.3756280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct2
2025-07-24T04:00:26.3757630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-utf8
2025-07-24T04:00:26.3758870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x11hilite
2025-07-24T04:00:26.3759920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct16
2025-07-24T04:00:26.3760650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xdku
2025-07-24T04:00:26.3761570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x68k-ite
2025-07-24T04:00:26.3762610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+alt+title
2025-07-24T04:00:26.3763540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-112x37-m
2025-07-24T04:00:26.3764460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct
2025-07-24T04:00:26.3765440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v333
2025-07-24T04:00:26.3766380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xfree86
2025-07-24T04:00:26.3767290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-vt220
2025-07-24T04:00:26.3768200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+acs
2025-07-24T04:00:26.3769110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-hp
2025-07-24T04:00:26.3770300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-new
2025-07-24T04:00:26.3770980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-noapp
2025-07-24T04:00:26.3771930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pc+edit
2025-07-24T04:00:26.3772860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1003
2025-07-24T04:00:26.3773800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterms-sun
2025-07-24T04:00:26.3774740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sl-twm
2025-07-24T04:00:26.3775660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+basic
2025-07-24T04:00:26.3776610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1003
2025-07-24T04:00:26.3777550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-pcolor
2025-07-24T04:00:26.3778520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xenix
2025-07-24T04:00:26.3779740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct256
2025-07-24T04:00:26.3780930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc
2025-07-24T04:00:26.3782090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1002
2025-07-24T04:00:26.3783480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+focus
2025-07-24T04:00:26.3784670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1005
2025-07-24T04:00:26.3785840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1005
2025-07-24T04:00:26.3787060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x48-m
2025-07-24T04:00:26.3788190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox-lm
2025-07-24T04:00:26.3789390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+nopcfkeys
2025-07-24T04:00:26.3790670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct
2025-07-24T04:00:26.3791880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1002
2025-07-24T04:00:26.3793060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-sco
2025-07-24T04:00:26.3794230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-144x48
2025-07-24T04:00:26.3795450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-p371
2025-07-24T04:00:26.3796630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+256setaf
2025-07-24T04:00:26.3797850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-160x64-m
2025-07-24T04:00:26.3799100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+vt+edit
2025-07-24T04:00:26.3800220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+kbs
2025-07-24T04:00:26.3801570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-80x30
2025-07-24T04:00:26.3802830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-90x30-m
2025-07-24T04:00:26.3804170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-x11mouse
2025-07-24T04:00:26.3805340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xwsh
2025-07-24T04:00:26.3806550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtalk
2025-07-24T04:00:26.3807830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v43
2025-07-24T04:00:26.3809110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v44
2025-07-24T04:00:26.3810170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-p370
2025-07-24T04:00:26.3811350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m-f
2025-07-24T04:00:26.3812500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-90x30
2025-07-24T04:00:26.3813520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xl83
2025-07-24T04:00:26.3814590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xfce
2025-07-24T04:00:26.3815770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc3
2025-07-24T04:00:26.3816790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1700
2025-07-24T04:00:26.3817880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-24
2025-07-24T04:00:26.3819000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sl-alt
2025-07-24T04:00:26.3820220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+144x48
2025-07-24T04:00:26.3821360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-b
2025-07-24T04:00:26.3822580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-old
2025-07-24T04:00:26.3823790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+alt47
2025-07-24T04:00:26.3824880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+f2
2025-07-24T04:00:26.3826170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-x10mouse
2025-07-24T04:00:26.3827440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+80x25
2025-07-24T04:00:26.3828620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcf0
2025-07-24T04:00:26.3829850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+nofkeys
2025-07-24T04:00:26.3831120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+256color
2025-07-24T04:00:26.3832300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1700-lm
2025-07-24T04:00:26.3833360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m
2025-07-24T04:00:26.3834520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+256color2
2025-07-24T04:00:26.3835720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-r5
2025-07-24T04:00:26.3836960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+titlestack
2025-07-24T04:00:26.3838100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox1720
2025-07-24T04:00:26.3839450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc2
2025-07-24T04:00:26.3840680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm1
2025-07-24T04:00:26.3841790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x68k
2025-07-24T04:00:26.3842900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+f
2025-07-24T04:00:26.3843990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterms
2025-07-24T04:00:26.3845130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-mono
2025-07-24T04:00:26.3846260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x10term+sl
2025-07-24T04:00:26.3847610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-100x37-m
2025-07-24T04:00:26.3848690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+80x30
2025-07-24T04:00:26.3849940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x75
2025-07-24T04:00:26.3851110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-256x96
2025-07-24T04:00:26.3852310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-80x30-m
2025-07-24T04:00:26.3853430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+90x30
2025-07-24T04:00:26.3854570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x10term
2025-07-24T04:00:26.3855700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcfkeys
2025-07-24T04:00:26.3857040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-256x96-m
2025-07-24T04:00:26.3858160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+160x64
2025-07-24T04:00:26.3859350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox
2025-07-24T04:00:26.3860520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sl
2025-07-24T04:00:26.3861730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+edit
2025-07-24T04:00:26.3863090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-sun
2025-07-24T04:00:26.3864280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-100x37
2025-07-24T04:00:26.3865430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-bold
2025-07-24T04:00:26.3866600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m-f2
2025-07-24T04:00:26.3867800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct16
2025-07-24T04:00:26.3869020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+200x75
2025-07-24T04:00:26.3870310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+256x96
2025-07-24T04:00:26.3871560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+tmux
2025-07-24T04:00:26.3872820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-nic
2025-07-24T04:00:26.3874020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-vt52
2025-07-24T04:00:26.3875270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v32
2025-07-24T04:00:26.3876520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x75-m
2025-07-24T04:00:26.3877790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1006
2025-07-24T04:00:26.3879020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-160x64
2025-07-24T04:00:26.3880060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xiterm
2025-07-24T04:00:26.3881290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+indirect
2025-07-24T04:00:26.3882550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+88color2
2025-07-24T04:00:26.3883730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x40-m
2025-07-24T04:00:26.3884830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1006
2025-07-24T04:00:26.3886070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+100x37
2025-07-24T04:00:26.3887290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+alt1049
2025-07-24T04:00:26.3888580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-80x25
2025-07-24T04:00:26.3889980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v33
2025-07-24T04:00:26.3891180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+noalt
2025-07-24T04:00:26.3892390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29a-nkc-bc
2025-07-24T04:00:26.3893500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29a
2025-07-24T04:00:26.3894500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z19
2025-07-24T04:00:26.3895680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z-100bw
2025-07-24T04:00:26.3896830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/ztx
2025-07-24T04:00:26.3897930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zen30
2025-07-24T04:00:26.3899370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z-100
2025-07-24T04:00:26.3900550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zenith29
2025-07-24T04:00:26.3901650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29
2025-07-24T04:00:26.3902760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z100
2025-07-24T04:00:26.3904040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zenith39-a
2025-07-24T04:00:26.3905100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z50
2025-07-24T04:00:26.3906300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z8001
2025-07-24T04:00:26.3907450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/ztx11
2025-07-24T04:00:26.3908690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29a-kc-bc
2025-07-24T04:00:26.3909750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29b
2025-07-24T04:00:26.3910860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z100bw
2025-07-24T04:00:26.3912130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zenith
2025-07-24T04:00:26.3913290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zen8001
2025-07-24T04:00:26.3914530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zenith39-ansi
2025-07-24T04:00:26.3915580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zt-1
2025-07-24T04:00:26.3916740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/zen50
2025-07-24T04:00:26.3917760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z110
2025-07-24T04:00:26.3918880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z110bw
2025-07-24T04:00:26.3920040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z340
2025-07-24T04:00:26.3921260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29a-nkc-uc
2025-07-24T04:00:26.3922260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z30
2025-07-24T04:00:26.3923500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z29a-kc-uc
2025-07-24T04:00:26.3924600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z39a
2025-07-24T04:00:26.3925820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/ztx-1-a
2025-07-24T04:00:26.3927020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/7a/z39-a
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2025-07-24T04:00:26.4270180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/padding.cpython-313.pyc
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2025-07-24T04:00:26.4273650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/poly1305.py
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2025-07-24T04:00:26.4277660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/aead.py
2025-07-24T04:00:26.4279450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__init__.py
2025-07-24T04:00:26.4281700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/base.cpython-313.pyc
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2025-07-24T04:00:26.4295730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/constant_time.py
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2025-07-24T04:00:26.4308970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/x25519.cpython-313.pyc
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2025-07-24T04:00:26.4391220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/poly1305.pyi
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2025-07-24T04:00:26.4426500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/__pycache__/utils.cpython-313.pyc
2025-07-24T04:00:26.4428430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/__pycache__/exceptions.cpython-313.pyc
2025-07-24T04:00:26.4430440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/__pycache__/__about__.cpython-313.pyc
2025-07-24T04:00:26.4432380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.4433940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/oid.py
2025-07-24T04:00:26.4435740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/verification.py
2025-07-24T04:00:26.4437330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/ocsp.py
2025-07-24T04:00:26.4439110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/general_name.py
2025-07-24T04:00:26.4440860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__init__.py
2025-07-24T04:00:26.4443190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/extensions.cpython-313.pyc
2025-07-24T04:00:26.4445230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/verification.cpython-313.pyc
2025-07-24T04:00:26.4447130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/base.cpython-313.pyc
2025-07-24T04:00:26.4449290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/certificate_transparency.cpython-313.pyc
2025-07-24T04:00:26.4451120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/ocsp.cpython-313.pyc
2025-07-24T04:00:26.4457650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/name.cpython-313.pyc
2025-07-24T04:00:26.4458520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/general_name.cpython-313.pyc
2025-07-24T04:00:26.4459380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/oid.cpython-313.pyc
2025-07-24T04:00:26.4460220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.4461010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/extensions.py
2025-07-24T04:00:26.4461750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/name.py
2025-07-24T04:00:26.4463090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/base.py
2025-07-24T04:00:26.4465100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/x509/certificate_transparency.py
2025-07-24T04:00:26.4466640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/utils.py
2025-07-24T04:00:26.4468300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/__about__.py
2025-07-24T04:00:26.4469850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/py.typed
2025-07-24T04:00:26.4471490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/exceptions.py
2025-07-24T04:00:26.4472770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/fernet.py
2025-07-24T04:00:26.4474330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/RECORD
2025-07-24T04:00:26.4476080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE
2025-07-24T04:00:26.4477800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE.APACHE
2025-07-24T04:00:26.4479550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE.BSD
2025-07-24T04:00:26.4481100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/direct_url.json
2025-07-24T04:00:26.4482620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/WHEEL
2025-07-24T04:00:26.4484360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/REQUESTED
2025-07-24T04:00:26.4486110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/INSTALLER
2025-07-24T04:00:26.4487740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/METADATA
2025-07-24T04:00:26.4488440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1.conda
2025-07-24T04:00:26.4489700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/bin/mamba-package
2025-07-24T04:00:26.4491160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/activation.hpp
2025-07-24T04:00:26.4492500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/environments_manager.hpp
2025-07-24T04:00:26.4493700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/transaction.hpp
2025-07-24T04:00:26.4495040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_handling.hpp
2025-07-24T04:00:26.4496350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/invoke.hpp
2025-07-24T04:00:26.4497800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/prefix_data.hpp
2025-07-24T04:00:26.4498950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/common_types.hpp
2025-07-24T04:00:26.4500160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/palette.hpp
2025-07-24T04:00:26.4501370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/link.hpp
2025-07-24T04:00:26.4502590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/error_handling.hpp
2025-07-24T04:00:26.4503940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/repo_checker_store.hpp
2025-07-24T04:00:26.4505110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_fetcher.hpp
2025-07-24T04:00:26.4506470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/execution.hpp
2025-07-24T04:00:26.4507720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/subdirdata.hpp
2025-07-24T04:00:26.4509050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/shell_init.hpp
2025-07-24T04:00:26.4510250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/fsutil.hpp
2025-07-24T04:00:26.4511450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/channel_context.hpp
2025-07-24T04:00:26.4512720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/env_lockfile.hpp
2025-07-24T04:00:26.4513920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util_scope.hpp
2025-07-24T04:00:26.4515250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/transaction_context.hpp
2025-07-24T04:00:26.4516660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/download_progress_bar.hpp
2025-07-24T04:00:26.4517840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/context.hpp
2025-07-24T04:00:26.4519160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/timeref.hpp
2025-07-24T04:00:26.4520340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util_os.hpp
2025-07-24T04:00:26.4521540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/tasksync.hpp
2025-07-24T04:00:26.4522700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/history.hpp
2025-07-24T04:00:26.4523960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/progress_bar.hpp
2025-07-24T04:00:26.4525190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/run.hpp
2025-07-24T04:00:26.4526410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_paths.hpp
2025-07-24T04:00:26.4527790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_database_loader.hpp
2025-07-24T04:00:26.4529140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/virtual_packages.hpp
2025-07-24T04:00:26.4530330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/thread_utils.hpp
2025-07-24T04:00:26.4531530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/output.hpp
2025-07-24T04:00:26.4532860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_cache.hpp
2025-07-24T04:00:26.4533980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/pinning.hpp
2025-07-24T04:00:26.4534920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/query.hpp
2025-07-24T04:00:26.4535860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util.hpp
2025-07-24T04:00:26.4536830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/menuinst.hpp
2025-07-24T04:00:26.4537750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cast.hpp
2025-07-24T04:00:26.4538770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_unix.hpp
2025-07-24T04:00:26.4539820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cryptography.hpp
2025-07-24T04:00:26.4540730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/build.hpp
2025-07-24T04:00:26.4541660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/json.hpp
2025-07-24T04:00:26.4542610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_osx.hpp
2025-07-24T04:00:26.4543640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/weakening_map.hpp
2025-07-24T04:00:26.4544620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/path_manip.hpp
2025-07-24T04:00:26.4545720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_binary_tree.hpp
2025-07-24T04:00:26.4546670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/variant_cmp.hpp
2025-07-24T04:00:26.4547650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/encoding.hpp
2025-07-24T04:00:26.4549030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/functional.hpp
2025-07-24T04:00:26.4550150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_bool_expr_tree.hpp
2025-07-24T04:00:26.4551140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/type_traits.hpp
2025-07-24T04:00:26.4552070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/random.hpp
2025-07-24T04:00:26.4553070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_linux.hpp
2025-07-24T04:00:26.4554090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/heap_optional.hpp
2025-07-24T04:00:26.4555010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/graph.hpp
2025-07-24T04:00:26.4556020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/loop_control.hpp
2025-07-24T04:00:26.4556920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/url.hpp
2025-07-24T04:00:26.4557850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_win.hpp
2025-07-24T04:00:26.4558830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/url_manip.hpp
2025-07-24T04:00:26.4559760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/string.hpp
2025-07-24T04:00:26.4560800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/deprecation.hpp
2025-07-24T04:00:26.4561730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/parsers.hpp
2025-07-24T04:00:26.4562640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cfile.hpp
2025-07-24T04:00:26.4563550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os.hpp
2025-07-24T04:00:26.4564560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/conditional.hpp
2025-07-24T04:00:26.4565510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_set.hpp
2025-07-24T04:00:26.4566450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/compare.hpp
2025-07-24T04:00:26.4567420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/iterator.hpp
2025-07-24T04:00:26.4568960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/environment.hpp
2025-07-24T04:00:26.4569920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/tuple_hash.hpp
2025-07-24T04:00:26.4571190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/archive.hpp
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2025-07-24T04:00:26.5021990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_known_annotated_metadata.cpython-313.pyc
2025-07-24T04:00:26.5024090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_discriminated_union.cpython-313.pyc
2025-07-24T04:00:26.5026100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_namespace_utils.cpython-313.pyc
2025-07-24T04:00:26.5028060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_core_utils.cpython-313.pyc
2025-07-24T04:00:26.5030180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_dataclasses.cpython-313.pyc
2025-07-24T04:00:26.5032460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_schema_generation_shared.cpython-313.pyc
2025-07-24T04:00:26.5034490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.5036500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_decorators_v1.cpython-313.pyc
2025-07-24T04:00:26.5038640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_signature.cpython-313.pyc
2025-07-24T04:00:26.5040870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_internal_dataclass.cpython-313.pyc
2025-07-24T04:00:26.5042660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_known_annotated_metadata.py
2025-07-24T04:00:26.5044380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_model_construction.py
2025-07-24T04:00:26.5046120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_signature.py
2025-07-24T04:00:26.5047950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py
2025-07-24T04:00:26.5049680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_schema_gather.py
2025-07-24T04:00:26.5051440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_discriminated_union.py
2025-07-24T04:00:26.5053090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_forward_ref.py
2025-07-24T04:00:26.5054710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_decorators.py
2025-07-24T04:00:26.5056540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_core_metadata.py
2025-07-24T04:00:26.5058170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_fields.py
2025-07-24T04:00:26.5059940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_config.py
2025-07-24T04:00:26.5061640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_mock_val_ser.py
2025-07-24T04:00:26.5063330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_git.py
2025-07-24T04:00:26.5065100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_generics.py
2025-07-24T04:00:26.5066810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_dataclasses.py
2025-07-24T04:00:26.5068550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_internal_dataclass.py
2025-07-24T04:00:26.5070070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_utils.py
2025-07-24T04:00:26.5071930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__init__.py
2025-07-24T04:00:26.5073890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/pipeline.cpython-313.pyc
2025-07-24T04:00:26.5075960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/arguments_schema.cpython-313.pyc
2025-07-24T04:00:26.5077850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.5079420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/pipeline.py
2025-07-24T04:00:26.5081400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/arguments_schema.py
2025-07-24T04:00:26.5083110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/functional_validators.py
2025-07-24T04:00:26.5084840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/alias_generators.py
2025-07-24T04:00:26.5086340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/color.py
2025-07-24T04:00:26.5087910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/config.py
2025-07-24T04:00:26.5089570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/version.py
2025-07-24T04:00:26.5091000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/fields.py
2025-07-24T04:00:26.5092600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/error_wrappers.py
2025-07-24T04:00:26.5094150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/decorator.py
2025-07-24T04:00:26.5095790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/validators.py
2025-07-24T04:00:26.5097220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/warnings.py
2025-07-24T04:00:26.5098790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/tools.py
2025-07-24T04:00:26.5100430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_loader.py
2025-07-24T04:00:26.5102040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__init__.py
2025-07-24T04:00:26.5103840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_schema_validator.py
2025-07-24T04:00:26.5105920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/_loader.cpython-313.pyc
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2025-07-24T04:00:26.5110040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.5111640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/env_settings.py
2025-07-24T04:00:26.5113280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__init__.py
2025-07-24T04:00:26.5114740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/mypy.py
2025-07-24T04:00:26.5116240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/types.py
2025-07-24T04:00:26.5117910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/class_validators.py
2025-07-24T04:00:26.5119740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/main.cpython-313.pyc
2025-07-24T04:00:26.5121620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/typing.cpython-313.pyc
2025-07-24T04:00:26.5123670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/functional_serializers.cpython-313.pyc
2025-07-24T04:00:26.5125540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/networks.cpython-313.pyc
2025-07-24T04:00:26.5127240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/mypy.cpython-313.pyc
2025-07-24T04:00:26.5129030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/generics.cpython-313.pyc
2025-07-24T04:00:26.5131060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/root_model.cpython-313.pyc
2025-07-24T04:00:26.5132850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/validators.cpython-313.pyc
2025-07-24T04:00:26.5134640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/color.cpython-313.pyc
2025-07-24T04:00:26.5136520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/config.cpython-313.pyc
2025-07-24T04:00:26.5138510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/validate_call_decorator.cpython-313.pyc
2025-07-24T04:00:26.5140390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/annotated_handlers.cpython-313.pyc
2025-07-24T04:00:26.5142640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/fields.cpython-313.pyc
2025-07-24T04:00:26.5144370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/parse.cpython-313.pyc
2025-07-24T04:00:26.5146170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/aliases.cpython-313.pyc
2025-07-24T04:00:26.5148060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/_migration.cpython-313.pyc
2025-07-24T04:00:26.5150090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/functional_validators.cpython-313.pyc
2025-07-24T04:00:26.5151750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/schema.cpython-313.pyc
2025-07-24T04:00:26.5153750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/datetime_parse.cpython-313.pyc
2025-07-24T04:00:26.5155520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/dataclasses.cpython-313.pyc
2025-07-24T04:00:26.5157360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/errors.cpython-313.pyc
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2025-07-24T04:00:26.5161250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/class_validators.cpython-313.pyc
2025-07-24T04:00:26.5163250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/alias_generators.cpython-313.pyc
2025-07-24T04:00:26.5165040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/warnings.cpython-313.pyc
2025-07-24T04:00:26.5166890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/types.cpython-313.pyc
2025-07-24T04:00:26.5169070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/type_adapter.cpython-313.pyc
2025-07-24T04:00:26.5170910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/env_settings.cpython-313.pyc
2025-07-24T04:00:26.5172750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/error_wrappers.cpython-313.pyc
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2025-07-24T04:00:26.5178610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.5180490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/version.cpython-313.pyc
2025-07-24T04:00:26.5182340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/decorator.cpython-313.pyc
2025-07-24T04:00:26.5184120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/tools.cpython-313.pyc
2025-07-24T04:00:26.5185610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/aliases.py
2025-07-24T04:00:26.5187210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/json_schema.py
2025-07-24T04:00:26.5188860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_migration.py
2025-07-24T04:00:26.5190390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/networks.py
2025-07-24T04:00:26.5192120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/root_model.py
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2025-07-24T04:00:26.5495220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/bin/sclient
2025-07-24T04:00:26.5496160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/bin/kswitch
2025-07-24T04:00:26.5497180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/bin/kadmin
2025-07-24T04:00:26.5498170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/bin/sim_client
2025-07-24T04:00:26.5499100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/bin/klist
2025-07-24T04:00:26.5500080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/verto.h
2025-07-24T04:00:26.5500980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/kdb.h
2025-07-24T04:00:26.5502050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/profile.h
2025-07-24T04:00:26.5503300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/kadm5/chpass_util_strings.h
2025-07-24T04:00:26.5504240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/kadm5/kadm_err.h
2025-07-24T04:00:26.5505290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/kadm5/admin.h
2025-07-24T04:00:26.5506240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/com_err.h
2025-07-24T04:00:26.5507480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/verto-module.h
2025-07-24T04:00:26.5508690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/ccselect_plugin.h
2025-07-24T04:00:26.5509820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/certauth_plugin.h
2025-07-24T04:00:26.5510640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/plugin.h
2025-07-24T04:00:26.5511670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/localauth_plugin.h
2025-07-24T04:00:26.5512620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/clpreauth_plugin.h
2025-07-24T04:00:26.5513590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/kdcpolicy_plugin.h
2025-07-24T04:00:26.5514500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/locate_plugin.h
2025-07-24T04:00:26.5515460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/kadm5_auth_plugin.h
2025-07-24T04:00:26.5516400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/pwqual_plugin.h
2025-07-24T04:00:26.5517500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/kadm5_hook_plugin.h
2025-07-24T04:00:26.5518310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/preauth_plugin.h
2025-07-24T04:00:26.5519290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/kdcpreauth_plugin.h
2025-07-24T04:00:26.5520240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/hostrealm_plugin.h
2025-07-24T04:00:26.5521050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5/krb5.h
2025-07-24T04:00:26.5521860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi.h
2025-07-24T04:00:26.5522760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/rpc_msg.h
2025-07-24T04:00:26.5523620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/types.h
2025-07-24T04:00:26.5524620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/auth_gssapi.h
2025-07-24T04:00:26.5525460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/pmap_prot.h
2025-07-24T04:00:26.5526290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/svc.h
2025-07-24T04:00:26.5527160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/clnt.h
2025-07-24T04:00:26.5528010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/xdr.h
2025-07-24T04:00:26.5528900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/rename.h
2025-07-24T04:00:26.5529800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/auth_gss.h
2025-07-24T04:00:26.5530640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/netdb.h
2025-07-24T04:00:26.5531550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/auth_unix.h
2025-07-24T04:00:26.5532470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/rpc.h
2025-07-24T04:00:26.5533590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/auth.h
2025-07-24T04:00:26.5534780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/pmap_clnt.h
2025-07-24T04:00:26.5535800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/svc_auth.h
2025-07-24T04:00:26.5536920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssrpc/pmap_rmt.h
2025-07-24T04:00:26.5538230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/gssapi_generic.h
2025-07-24T04:00:26.5539370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/mechglue.h
2025-07-24T04:00:26.5540510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/gssapi_krb5.h
2025-07-24T04:00:26.5541820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/gssapi_alloc.h
2025-07-24T04:00:26.5542850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/gssapi.h
2025-07-24T04:00:26.5544100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/gssapi/gssapi_ext.h
2025-07-24T04:00:26.5545160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krb5.h
2025-07-24T04:00:26.5546090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/include/krad.h
2025-07-24T04:00:26.5547080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kproplog
2025-07-24T04:00:26.5548000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/krb5kdc
2025-07-24T04:00:26.5549130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/gss-server
2025-07-24T04:00:26.5550280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/sserver
2025-07-24T04:00:26.5551220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kprop
2025-07-24T04:00:26.5552370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kadmin.local
2025-07-24T04:00:26.5553280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kdb5_util
2025-07-24T04:00:26.5554320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kpropd
2025-07-24T04:00:26.5555360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/sim_server
2025-07-24T04:00:26.5556500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/kadmind
2025-07-24T04:00:26.5557530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/uuserver
2025-07-24T04:00:26.5558660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/sbin/krb5-send-pr
2025-07-24T04:00:26.5559830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/repodata_record.json
2025-07-24T04:00:26.5561030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/test/run_test.py
2025-07-24T04:00:26.5562390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/test/test_time_dependencies.json
2025-07-24T04:00:26.5563680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/licenses/doc/notice.rst
2025-07-24T04:00:26.5564700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/bld.bat
2025-07-24T04:00:26.5565720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/build.sh
2025-07-24T04:00:26.5566970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/conda_build_config.yaml
2025-07-24T04:00:26.5568230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/run_test.py
2025-07-24T04:00:26.5569320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/meta.yaml
2025-07-24T04:00:26.5570560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/recipe/meta.yaml.template
2025-07-24T04:00:26.5571650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/run_exports.json
2025-07-24T04:00:26.5572730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/paths.json
2025-07-24T04:00:26.5573790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/hash_input.json
2025-07-24T04:00:26.5574870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/files
2025-07-24T04:00:26.5575930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/about.json
2025-07-24T04:00:26.5576930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/has_prefix
2025-07-24T04:00:26.5578000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/index.json
2025-07-24T04:00:26.5578850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/info/git
2025-07-24T04:00:26.5580040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libcom_err.dylib
2025-07-24T04:00:26.5581360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libcom_err.3.0.dylib
2025-07-24T04:00:26.5582520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/mit-krb5.pc
2025-07-24T04:00:26.5583560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/gssrpc.pc
2025-07-24T04:00:26.5584820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/mit-krb5-gssapi.pc
2025-07-24T04:00:26.5585950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/kadm-client.pc
2025-07-24T04:00:26.5586950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/kdb.pc
2025-07-24T04:00:26.5588190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/krb5-gssapi.pc
2025-07-24T04:00:26.5589240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/krb5.pc
2025-07-24T04:00:26.5590450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/pkgconfig/kadm-server.pc
2025-07-24T04:00:26.5591660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libverto.0.0.dylib
2025-07-24T04:00:26.5592770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5srv_mit.12.0.dylib
2025-07-24T04:00:26.5594060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5clnt_mit.12.0.dylib
2025-07-24T04:00:26.5595170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5clnt_mit.dylib
2025-07-24T04:00:26.5596260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkrad.0.0.dylib
2025-07-24T04:00:26.5597420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5srv_mit.dylib
2025-07-24T04:00:26.5598710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5srv_mit.12.dylib
2025-07-24T04:00:26.5599850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkrb5.3.dylib
2025-07-24T04:00:26.5600930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libverto.0.dylib
2025-07-24T04:00:26.5601950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libverto.dylib
2025-07-24T04:00:26.5603080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libgssapi_krb5.2.2.dylib
2025-07-24T04:00:26.5604330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkrb5support.dylib
2025-07-24T04:00:26.5605430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5clnt.dylib
2025-07-24T04:00:26.5606300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkrad.dylib
2025-07-24T04:00:26.5607410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkadm5srv.dylib
2025-07-24T04:00:26.5608700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/preauth/spake.so
2025-07-24T04:00:26.5609890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/preauth/otp.so
2025-07-24T04:00:26.5611130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/preauth/test.so
2025-07-24T04:00:26.5612420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/preauth/pkinit.so
2025-07-24T04:00:26.5613440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/kdb/db2.so
2025-07-24T04:00:26.5614720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/krb5/plugins/tls/k5tls.so
2025-07-24T04:00:26.5615820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkdb5.dylib
2025-07-24T04:00:26.5616960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libgssrpc.4.2.dylib
2025-07-24T04:00:26.5618100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libgssrpc.dylib
2025-07-24T04:00:26.5619230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/krb5-1.21.3-h7414a1f_1/lib/libkrad.0.dylib
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2025-07-24T04:00:26.6564520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/__pycache__/test_pycosat.cpython-313.pyc
2025-07-24T04:00:26.6566080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/AUTHORS.md
2025-07-24T04:00:26.6567670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/RECORD
2025-07-24T04:00:26.6569240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/LICENSE
2025-07-24T04:00:26.6571010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/direct_url.json
2025-07-24T04:00:26.6572310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/WHEEL
2025-07-24T04:00:26.6573960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/top_level.txt
2025-07-24T04:00:26.6575550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/REQUESTED
2025-07-24T04:00:26.6577090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/INSTALLER
2025-07-24T04:00:26.6578950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pycosat-0.6.6-py313h80987f9_2/lib/python3.13/site-packages/pycosat-0.6.6.dist-info/METADATA
2025-07-24T04:00:26.6580180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_recursion_limit.3
2025-07-24T04:00:26.6581270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2syntax.3
2025-07-24T04:00:26.6582310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2jit.3
2025-07-24T04:00:26.6583370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2demo.3
2025-07-24T04:00:26.6584900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_offset_limit.3
2025-07-24T04:00:26.6586120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_context_create.3
2025-07-24T04:00:26.6587080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2serialize.3
2025-07-24T04:00:26.6588130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_bsr.3
2025-07-24T04:00:26.6589230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2unicode.3
2025-07-24T04:00:26.6590440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_get_bynumber.3
2025-07-24T04:00:26.6591550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_copy_byname.3
2025-07-24T04:00:26.6592430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2api.3
2025-07-24T04:00:26.6593760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_parens_nest_limit.3
2025-07-24T04:00:26.6594920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_startchar.3
2025-07-24T04:00:26.6596050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2limits.3
2025-07-24T04:00:26.6597480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_recursion_memory_management.3
2025-07-24T04:00:26.6598510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_newline.3
2025-07-24T04:00:26.6599760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_depth_limit.3
2025-07-24T04:00:26.6601010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_data_free.3
2025-07-24T04:00:26.6602280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_compile_context_free.3
2025-07-24T04:00:26.6603470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_max_pattern_length.3
2025-07-24T04:00:26.6604600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2matching.3
2025-07-24T04:00:26.6605830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_stack_free.3
2025-07-24T04:00:26.6606870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_callout.3
2025-07-24T04:00:26.6608120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_code_copy_with_tables.3
2025-07-24T04:00:26.6609380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_glob_escape.3
2025-07-24T04:00:26.6610620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_compile_extra_options.3
2025-07-24T04:00:26.6611470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2.3
2025-07-24T04:00:26.6612620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2perform.3
2025-07-24T04:00:26.6613690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_pattern_info.3
2025-07-24T04:00:26.6614830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_substitute_callout.3
2025-07-24T04:00:26.6616020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_stack_create.3
2025-07-24T04:00:26.6617050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2build.3
2025-07-24T04:00:26.6618340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_length_byname.3
2025-07-24T04:00:26.6619360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_serialize_free.3
2025-07-24T04:00:26.6620440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_dfa_match.3
2025-07-24T04:00:26.6621490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2convert.3
2025-07-24T04:00:26.6622500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_match.3
2025-07-24T04:00:26.6623570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_nametable_scan.3
2025-07-24T04:00:26.6624400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match.3
2025-07-24T04:00:26.6625500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_converted_pattern_free.3
2025-07-24T04:00:26.6626430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_heap_limit.3
2025-07-24T04:00:26.6627510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_number_from_name.3
2025-07-24T04:00:26.6628470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_pattern_convert.3
2025-07-24T04:00:26.6629360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_maketables.3
2025-07-24T04:00:26.6630370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_context_free.3
2025-07-24T04:00:26.6631230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_code_free.3
2025-07-24T04:00:26.6632170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_compile.3
2025-07-24T04:00:26.6633040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_compile.3
2025-07-24T04:00:26.6634070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_ovector_pointer.3
2025-07-24T04:00:26.6635080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_list_get.3
2025-07-24T04:00:26.6636090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_general_context_free.3
2025-07-24T04:00:26.6637090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_match_data_size.3
2025-07-24T04:00:26.6638070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_convert_context_copy.3
2025-07-24T04:00:26.6639070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_character_tables.3
2025-07-24T04:00:26.6640020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_error_message.3
2025-07-24T04:00:26.6641020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_compile_context_create.3
2025-07-24T04:00:26.6642050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_glob_separator.3
2025-07-24T04:00:26.6642970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_maketables_free.3
2025-07-24T04:00:26.6643970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_convert_context_free.3
2025-07-24T04:00:26.6644940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_serialize_decode.3
2025-07-24T04:00:26.6645960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_general_context_copy.3
2025-07-24T04:00:26.6646830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_code_copy.3
2025-07-24T04:00:26.6647670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2compat.3
2025-07-24T04:00:26.6648860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_data_create_from_pattern.3
2025-07-24T04:00:26.6650300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_match_limit.3
2025-07-24T04:00:26.6651270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_context_copy.3
2025-07-24T04:00:26.6652240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_serialize_encode.3
2025-07-24T04:00:26.6653140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substitute.3
2025-07-24T04:00:26.6654130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_ovector_count.3
2025-07-24T04:00:26.6655030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_get_mark.3
2025-07-24T04:00:26.6656020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_stack_assign.3
2025-07-24T04:00:26.6657010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_list_free.3
2025-07-24T04:00:26.6657850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2callout.3
2025-07-24T04:00:26.6658850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_match_data_create.3
2025-07-24T04:00:26.6659850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_get_byname.3
2025-07-24T04:00:26.6660950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_copy_bynumber.3
2025-07-24T04:00:26.6661730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2sample.3
2025-07-24T04:00:26.6662850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_length_bynumber.3
2025-07-24T04:00:26.6663700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2partial.3
2025-07-24T04:00:26.6664520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2posix.3
2025-07-24T04:00:26.6665590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_convert_context_create.3
2025-07-24T04:00:26.6666570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_compile_context_copy.3
2025-07-24T04:00:26.6667420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_config.3
2025-07-24T04:00:26.6668530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_compile_recursion_guard.3
2025-07-24T04:00:26.6669660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_serialize_get_number_of_codes.3
2025-07-24T04:00:26.6670640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_general_context_create.3
2025-07-24T04:00:26.6671650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_jit_free_unused_memory.3
2025-07-24T04:00:26.6672680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_callout_enumerate.3
2025-07-24T04:00:26.6673550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_substring_free.3
2025-07-24T04:00:26.6674390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2pattern.3
2025-07-24T04:00:26.6679890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man1/pcre2grep.1
2025-07-24T04:00:26.6680630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man1/pcre2test.1
2025-07-24T04:00:26.6681090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man1/pcre2-config.1
2025-07-24T04:00:26.6681570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/cmake/pcre2-config-version.cmake
2025-07-24T04:00:26.6682050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/cmake/pcre2-config.cmake
2025-07-24T04:00:26.6682530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/bin/pcre2grep
2025-07-24T04:00:26.6682980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/bin/pcre2test
2025-07-24T04:00:26.6683400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/bin/pcre2-config
2025-07-24T04:00:26.6683830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/bin/pcre2posix_test
2025-07-24T04:00:26.6684270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/include/pcre2posix.h
2025-07-24T04:00:26.6684700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/include/pcre2.h
2025-07-24T04:00:26.6685150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/info/repodata_record.json
2025-07-24T04:00:26.6685620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/info/test/run_test.sh
2025-07-24T04:00:26.6686070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/info/licenses/LICENCE
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2025-07-24T04:00:26.6804870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_compile.html
2025-07-24T04:00:26.6806010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_jit_stack_free.html
2025-07-24T04:00:26.6806980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2limits.html
2025-07-24T04:00:26.6807990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2-config.html
2025-07-24T04:00:26.6809040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_substitute.html
2025-07-24T04:00:26.6810030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_match.html
2025-07-24T04:00:26.6811290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_set_compile_extra_options.html
2025-07-24T04:00:26.6812320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_serialize_free.html
2025-07-24T04:00:26.6813600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_substring_get_bynumber.html
2025-07-24T04:00:26.6814630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_set_callout.html
2025-07-24T04:00:26.6815810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_substring_copy_byname.html
2025-07-24T04:00:26.6816910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_substring_list_get.html
2025-07-24T04:00:26.6818030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/share/doc/pcre2/html/pcre2_match_context_create.html
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2025-07-24T04:00:26.6819920Z /opt/homebrew/Caskroom/miniconda/base/lib/libncurses++.a
2025-07-24T04:00:26.6820530Z /opt/homebrew/Caskroom/miniconda/base/lib/libsqlite3.0.dylib
2025-07-24T04:00:26.6821170Z /opt/homebrew/Caskroom/miniconda/base/lib/libyaml-cpp.0.8.0.dylib
2025-07-24T04:00:26.6821730Z /opt/homebrew/Caskroom/miniconda/base/lib/libcom_err.dylib
2025-07-24T04:00:26.6822340Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-16.0.dylib
2025-07-24T04:00:26.6822910Z /opt/homebrew/Caskroom/miniconda/base/lib/libmamba.2.dylib
2025-07-24T04:00:26.6823520Z /opt/homebrew/Caskroom/miniconda/base/lib/libicutu.73.1.dylib
2025-07-24T04:00:26.6824150Z /opt/homebrew/Caskroom/miniconda/base/lib/libmpdec.4.0.0.dylib
2025-07-24T04:00:26.6824750Z /opt/homebrew/Caskroom/miniconda/base/lib/libicudata.73.dylib
2025-07-24T04:00:26.6825270Z /opt/homebrew/Caskroom/miniconda/base/lib/libcrypto.a
2025-07-24T04:00:26.6826100Z /opt/homebrew/Caskroom/miniconda/base/lib/libreadline.8.2.dylib
2025-07-24T04:00:26.6826480Z /opt/homebrew/Caskroom/miniconda/base/lib/libbz2.a
2025-07-24T04:00:26.6827240Z /opt/homebrew/Caskroom/miniconda/base/lib/tdbcmysql1.1.7/tdbcmysql.tcl
2025-07-24T04:00:26.6827950Z /opt/homebrew/Caskroom/miniconda/base/lib/tdbcmysql1.1.7/pkgIndex.tcl
2025-07-24T04:00:26.6829080Z /opt/homebrew/Caskroom/miniconda/base/lib/tdbcmysql1.1.7/libtdbcmysql1.1.7.dylib
2025-07-24T04:00:26.6829720Z /opt/homebrew/Caskroom/miniconda/base/lib/libxml2.2.dylib
2025-07-24T04:00:26.6830360Z /opt/homebrew/Caskroom/miniconda/base/lib/libicui18n.a
2025-07-24T04:00:26.6830970Z /opt/homebrew/Caskroom/miniconda/base/lib/libz.dylib
2025-07-24T04:00:26.6831690Z /opt/homebrew/Caskroom/miniconda/base/lib/libffi.8.dylib
2025-07-24T04:00:26.6832500Z /opt/homebrew/Caskroom/miniconda/base/lib/libcharset.a
2025-07-24T04:00:26.6833210Z /opt/homebrew/Caskroom/miniconda/base/lib/libncurses.6.dylib
2025-07-24T04:00:26.6833920Z /opt/homebrew/Caskroom/miniconda/base/lib/libspdlog.dylib
2025-07-24T04:00:26.6835010Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-posix.3.0.4.dylib
2025-07-24T04:00:26.6835730Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-8.0.11.2.dylib
2025-07-24T04:00:26.6836460Z /opt/homebrew/Caskroom/miniconda/base/lib/libtcl8.6.dylib
2025-07-24T04:00:26.6837250Z /opt/homebrew/Caskroom/miniconda/base/lib/libcom_err.3.0.dylib
2025-07-24T04:00:26.6838020Z /opt/homebrew/Caskroom/miniconda/base/lib/libspdlog.1.11.0.dylib
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2025-07-24T04:00:26.6839780Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/fmt.pc
2025-07-24T04:00:26.6840660Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/openssl.pc
2025-07-24T04:00:26.6841470Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/expat.pc
2025-07-24T04:00:26.6842310Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libarchive.pc
2025-07-24T04:00:26.6843130Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/python3.pc
2025-07-24T04:00:26.6843980Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/icu-uc.pc
2025-07-24T04:00:26.6844700Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/readline.pc
2025-07-24T04:00:26.6846040Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libsolv.pc
2025-07-24T04:00:26.6846840Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/yaml-cpp.pc
2025-07-24T04:00:26.6847730Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libedit.pc
2025-07-24T04:00:26.6848510Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libcares.pc
2025-07-24T04:00:26.6849360Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/gmock_main.pc
2025-07-24T04:00:26.6850160Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/icu-io.pc
2025-07-24T04:00:26.6851000Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/liblzma.pc
2025-07-24T04:00:26.6851960Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/python-3.13-embed.pc
2025-07-24T04:00:26.6852700Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/liblz4.pc
2025-07-24T04:00:26.6853550Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libcurl.pc
2025-07-24T04:00:26.6854470Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/gmock.pc
2025-07-24T04:00:26.6855180Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/ncursesw.pc
2025-07-24T04:00:26.6856050Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/gssrpc.pc
2025-07-24T04:00:26.6856860Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/simdjson.pc
2025-07-24T04:00:26.6857870Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/mit-krb5-gssapi.pc
2025-07-24T04:00:26.6858700Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/formw.pc
2025-07-24T04:00:26.6859470Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/tcl.pc
2025-07-24T04:00:26.6860280Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/tk.pc
2025-07-24T04:00:26.6861200Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/ncurses++w.pc
2025-07-24T04:00:26.6862030Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/python-3.13.pc
2025-07-24T04:00:26.6862910Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libffi.pc
2025-07-24T04:00:26.6863550Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/zlib.pc
2025-07-24T04:00:26.6864380Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libzstd.pc
2025-07-24T04:00:26.6865280Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/kadm-client.pc
2025-07-24T04:00:26.6866180Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libssl.pc
2025-07-24T04:00:26.6866940Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/kdb.pc
2025-07-24T04:00:26.6867750Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/tinfow.pc
2025-07-24T04:00:26.6868560Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/spdlog.pc
2025-07-24T04:00:26.6869320Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/menuw.pc
2025-07-24T04:00:26.6870150Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/icu-i18n.pc
2025-07-24T04:00:26.6870970Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libcrypto.pc
2025-07-24T04:00:26.6871900Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/python3-embed.pc
2025-07-24T04:00:26.6872640Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/reproc.pc
2025-07-24T04:00:26.6873370Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/sqlite3.pc
2025-07-24T04:00:26.6874160Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libnghttp2.pc
2025-07-24T04:00:26.6874930Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libxml-2.0.pc
2025-07-24T04:00:26.6875880Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-posix.pc
2025-07-24T04:00:26.6876820Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-8.pc
2025-07-24T04:00:26.6877760Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/krb5-gssapi.pc
2025-07-24T04:00:26.6878580Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/history.pc
2025-07-24T04:00:26.6879270Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/krb5.pc
2025-07-24T04:00:26.6880270Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-16.pc
2025-07-24T04:00:26.6881080Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/reproc++.pc
2025-07-24T04:00:26.6881950Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-32.pc
2025-07-24T04:00:26.6882790Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libssh2.pc
2025-07-24T04:00:26.6883680Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/kadm-server.pc
2025-07-24T04:00:26.6884430Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/panelw.pc
2025-07-24T04:00:26.6885440Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/gtest_main.pc
2025-07-24T04:00:26.6886300Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libsolvext.pc
2025-07-24T04:00:26.6887110Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/gtest.pc
2025-07-24T04:00:26.6887820Z /opt/homebrew/Caskroom/miniconda/base/lib/libicuio.dylib
2025-07-24T04:00:26.6888830Z /opt/homebrew/Caskroom/miniconda/base/lib/libarchive.13.7.7.dylib
2025-07-24T04:00:26.6889430Z /opt/homebrew/Caskroom/miniconda/base/lib/libicutest.a
2025-07-24T04:00:26.6890180Z /opt/homebrew/Caskroom/miniconda/base/lib/libc++.a
2025-07-24T04:00:26.6890940Z /opt/homebrew/Caskroom/miniconda/base/lib/libicutest.dylib
2025-07-24T04:00:26.6891820Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/libthread2.8.9.dylib
2025-07-24T04:00:26.6892640Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/pkgIndex.tcl
2025-07-24T04:00:26.6893480Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/ttrace.tcl
2025-07-24T04:00:26.6894320Z /opt/homebrew/Caskroom/miniconda/base/lib/libsimdjson.23.0.0.dylib
2025-07-24T04:00:26.6894940Z /opt/homebrew/Caskroom/miniconda/base/lib/libicuio.a
2025-07-24T04:00:26.6895780Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-16.0.11.2.dylib
2025-07-24T04:00:26.6896650Z /opt/homebrew/Caskroom/miniconda/base/lib/libssh2.1.0.1.dylib
2025-07-24T04:00:26.6897400Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-8.0.dylib
2025-07-24T04:00:26.6898150Z /opt/homebrew/Caskroom/miniconda/base/lib/libpanel.dylib
2025-07-24T04:00:26.6899120Z /opt/homebrew/Caskroom/miniconda/base/lib/libexpat.dylib
2025-07-24T04:00:26.6899830Z /opt/homebrew/Caskroom/miniconda/base/lib/libz.1.2.13.dylib
2025-07-24T04:00:26.6900700Z /opt/homebrew/Caskroom/miniconda/base/lib/libcharset.1.dylib
2025-07-24T04:00:26.6901450Z /opt/homebrew/Caskroom/miniconda/base/lib/libicudata.dylib
2025-07-24T04:00:26.6902430Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc/reproc-config.cmake
2025-07-24T04:00:26.6903450Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc/reproc-targets-release.cmake
2025-07-24T04:00:26.6904390Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc/reproc-targets.cmake
2025-07-24T04:00:26.6905420Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc/reproc-config-version.cmake
2025-07-24T04:00:26.6906450Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/liblzma/liblzma-config.cmake
2025-07-24T04:00:26.6907500Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/liblzma/liblzma-targets.cmake
2025-07-24T04:00:26.6908760Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/liblzma/liblzma-targets-release.cmake
2025-07-24T04:00:26.6909740Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/liblzma/liblzma-config-version.cmake
2025-07-24T04:00:26.6910730Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libxml2/libxml2-config.cmake
2025-07-24T04:00:26.6911810Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/simdjson/simdjson-config-version.cmake
2025-07-24T04:00:26.6912740Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/simdjson/simdjson-config.cmake
2025-07-24T04:00:26.6913670Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/simdjson/simdjsonTargets.cmake
2025-07-24T04:00:26.6914880Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/simdjson/simdjsonTargets-release.cmake
2025-07-24T04:00:26.6915980Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc++/reproc++-config-version.cmake
2025-07-24T04:00:26.6917070Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc++/reproc++-config.cmake
2025-07-24T04:00:26.6918040Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc++/reproc++-targets.cmake
2025-07-24T04:00:26.6919150Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc++/reproc++-targets-release.cmake
2025-07-24T04:00:26.6920240Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/expat-2.7.1/expat-config.cmake
2025-07-24T04:00:26.6921260Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/expat-2.7.1/expat-config-version.cmake
2025-07-24T04:00:26.6922400Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/expat-2.7.1/expat-noconfig.cmake
2025-07-24T04:00:26.6923370Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/expat-2.7.1/expat.cmake
2025-07-24T04:00:26.6924290Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/fmt/fmt-targets-release.cmake
2025-07-24T04:00:26.6925110Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/fmt/fmt-config.cmake
2025-07-24T04:00:26.6926110Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/fmt/fmt-config-version.cmake
2025-07-24T04:00:26.6926910Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/fmt/fmt-targets.cmake
2025-07-24T04:00:26.6927960Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/c-ares/c-ares-targets-release.cmake
2025-07-24T04:00:26.6928810Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/c-ares/c-ares-config.cmake
2025-07-24T04:00:26.6929750Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/c-ares/c-ares-targets.cmake
2025-07-24T04:00:26.6930720Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/c-ares/c-ares-config-version.cmake
2025-07-24T04:00:26.6931830Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libmamba/libmambaConfigVersion.cmake
2025-07-24T04:00:26.6932830Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libmamba/libmambaTargets.cmake
2025-07-24T04:00:26.6933970Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libmamba/libmambaTargets-release.cmake
2025-07-24T04:00:26.6934840Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libmamba/libmambaConfig.cmake
2025-07-24T04:00:26.6935830Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/yaml-cpp/yaml-cpp-config.cmake
2025-07-24T04:00:26.6941790Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/yaml-cpp/yaml-cpp-targets-release.cmake
2025-07-24T04:00:26.6942260Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/yaml-cpp/yaml-cpp-targets.cmake
2025-07-24T04:00:26.6942690Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/yaml-cpp/yaml-cpp-config-version.cmake
2025-07-24T04:00:26.6943110Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/spdlog/spdlogConfig.cmake
2025-07-24T04:00:26.6943540Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/spdlog/spdlogConfigTargets-release.cmake
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2025-07-24T04:00:26.7196940Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/macRomania.enc
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2025-07-24T04:00:26.7198280Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/cp874.enc
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2025-07-24T04:00:26.7199710Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/macRoman.enc
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2025-07-24T04:00:26.7202470Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/macDingbats.enc
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2025-07-24T04:00:26.7204480Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/koi8-r.enc
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2025-07-24T04:00:26.7206560Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/macCroatian.enc
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2025-07-24T04:00:26.7207860Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/encoding/cp865.enc
2025-07-24T04:00:26.7208540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/opt0.4/optparse.tcl
2025-07-24T04:00:26.7209220Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/opt0.4/pkgIndex.tcl
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2025-07-24T04:00:26.7210940Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sw.msg
2025-07-24T04:00:26.7211530Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/pl.msg
2025-07-24T04:00:26.7212140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fa.msg
2025-07-24T04:00:26.7212760Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/de_at.msg
2025-07-24T04:00:26.7213380Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_bo.msg
2025-07-24T04:00:26.7213960Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/el.msg
2025-07-24T04:00:26.7214560Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sv.msg
2025-07-24T04:00:26.7215190Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/gl_es.msg
2025-07-24T04:00:26.7215810Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_bw.msg
2025-07-24T04:00:26.7216440Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fr_ca.msg
2025-07-24T04:00:26.7217060Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fr_be.msg
2025-07-24T04:00:26.7217650Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/hi.msg
2025-07-24T04:00:26.7218240Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ja.msg
2025-07-24T04:00:26.7218850Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/eo.msg
2025-07-24T04:00:26.7219480Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/pt_br.msg
2025-07-24T04:00:26.7220140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/bn_in.msg
2025-07-24T04:00:26.7220740Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ru_ua.msg
2025-07-24T04:00:26.7221370Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_ca.msg
2025-07-24T04:00:26.7222020Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_be.msg
2025-07-24T04:00:26.7222590Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sq.msg
2025-07-24T04:00:26.7223190Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ru.msg
2025-07-24T04:00:26.7223840Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_cl.msg
2025-07-24T04:00:26.7224420Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/kw.msg
2025-07-24T04:00:26.7225050Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_ar.msg
2025-07-24T04:00:26.7225690Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar_in.msg
2025-07-24T04:00:26.7226310Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_zw.msg
2025-07-24T04:00:26.7226900Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sr.msg
2025-07-24T04:00:26.7227530Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/it_ch.msg
2025-07-24T04:00:26.7228140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_co.msg
2025-07-24T04:00:26.7228730Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/gv.msg
2025-07-24T04:00:26.7229310Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fr.msg
2025-07-24T04:00:26.7229890Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ga.msg
2025-07-24T04:00:26.7230610Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_ni.msg
2025-07-24T04:00:26.7231140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_za.msg
2025-07-24T04:00:26.7231720Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/af.msg
2025-07-24T04:00:26.7232350Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_hn.msg
2025-07-24T04:00:26.7232940Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/lv.msg
2025-07-24T04:00:26.7233520Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/mr.msg
2025-07-24T04:00:26.7234110Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ms.msg
2025-07-24T04:00:26.7234720Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar.msg
2025-07-24T04:00:26.7235330Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_do.msg
2025-07-24T04:00:26.7235940Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_gt.msg
2025-07-24T04:00:26.7236520Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/lt.msg
2025-07-24T04:00:26.7237140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/te.msg
2025-07-24T04:00:26.7237700Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/tr.msg
2025-07-24T04:00:26.7238340Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_ie.msg
2025-07-24T04:00:26.7238950Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/nl_be.msg
2025-07-24T04:00:26.7239560Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_py.msg
2025-07-24T04:00:26.7240140Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ta.msg
2025-07-24T04:00:26.7240720Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/vi.msg
2025-07-24T04:00:26.7241330Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/mt.msg
2025-07-24T04:00:26.7241920Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/nn.msg
2025-07-24T04:00:26.7242540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_sv.msg
2025-07-24T04:00:26.7243120Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/nl.msg
2025-07-24T04:00:26.7243710Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/bn.msg
2025-07-24T04:00:26.7244360Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar_lb.msg
2025-07-24T04:00:26.7244920Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/zh.msg
2025-07-24T04:00:26.7245560Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fa_in.msg
2025-07-24T04:00:26.7246170Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ko_kr.msg
2025-07-24T04:00:26.7246790Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_in.msg
2025-07-24T04:00:26.7247420Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_pa.msg
2025-07-24T04:00:26.7248120Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/te_in.msg
2025-07-24T04:00:26.7248660Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/uk.msg
2025-07-24T04:00:26.7249280Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_hk.msg
2025-07-24T04:00:26.7249910Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/zh_hk.msg
2025-07-24T04:00:26.7250540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ga_ie.msg
2025-07-24T04:00:26.7251110Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/cs.msg
2025-07-24T04:00:26.7251740Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_ec.msg
2025-07-24T04:00:26.7252310Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/nb.msg
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2025-07-24T04:00:26.7255380Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/th.msg
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2025-07-24T04:00:26.7256560Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/be.msg
2025-07-24T04:00:26.7257170Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/mk.msg
2025-07-24T04:00:26.7257850Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/kok_in.msg
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2025-07-24T04:00:26.7259020Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_sg.msg
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2025-07-24T04:00:26.7260270Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/kw_gb.msg
2025-07-24T04:00:26.7260870Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/bg.msg
2025-07-24T04:00:26.7261490Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_pe.msg
2025-07-24T04:00:26.7262110Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_pr.msg
2025-07-24T04:00:26.7262720Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_ph.msg
2025-07-24T04:00:26.7263340Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ms_my.msg
2025-07-24T04:00:26.7263970Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_uy.msg
2025-07-24T04:00:26.7264620Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/mr_in.msg
2025-07-24T04:00:26.7265210Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/gv_gb.msg
2025-07-24T04:00:26.7265830Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar_sy.msg
2025-07-24T04:00:26.7266430Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/gl.msg
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2025-07-24T04:00:26.7268190Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/hu.msg
2025-07-24T04:00:26.7268790Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/da.msg
2025-07-24T04:00:26.7269370Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fi.msg
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2025-07-24T04:00:26.7271230Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar_jo.msg
2025-07-24T04:00:26.7271830Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/is.msg
2025-07-24T04:00:26.7272420Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/kl.msg
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2025-07-24T04:00:26.7273620Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/id.msg
2025-07-24T04:00:26.7274230Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sk.msg
2025-07-24T04:00:26.7274820Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ro.msg
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2025-07-24T04:00:26.7277280Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/pt.msg
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2025-07-24T04:00:26.7279670Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/he.msg
2025-07-24T04:00:26.7280270Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/hr.msg
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2025-07-24T04:00:26.7282070Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fo.msg
2025-07-24T04:00:26.7282710Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_ve.msg
2025-07-24T04:00:26.7283370Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/zh_tw.msg
2025-07-24T04:00:26.7283940Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sl.msg
2025-07-24T04:00:26.7284610Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/de.msg
2025-07-24T04:00:26.7285120Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/it.msg
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2025-07-24T04:00:26.7286380Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/kl_gl.msg
2025-07-24T04:00:26.7287010Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_nz.msg
2025-07-24T04:00:26.7287540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/safe.tcl
2025-07-24T04:00:26.7288150Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/parray.tcl
2025-07-24T04:00:26.7288740Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/tclAppInit.c
2025-07-24T04:00:26.7289330Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/package.tcl
2025-07-24T04:00:26.7289890Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/auto.tcl
2025-07-24T04:00:26.7290540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/http1.0/http.tcl
2025-07-24T04:00:26.7291260Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/http1.0/pkgIndex.tcl
2025-07-24T04:00:26.7296300Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/init.tcl
2025-07-24T04:00:26.7296550Z /opt/homebrew/Caskroom/miniconda/base/lib/libicutest.73.dylib
2025-07-24T04:00:26.7296660Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-8.a
2025-07-24T04:00:26.7296760Z /opt/homebrew/Caskroom/miniconda/base/lib/libform.dylib
2025-07-24T04:00:26.7296860Z /opt/homebrew/Caskroom/miniconda/base/lib/terminfo
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2025-07-24T04:00:26.9049240Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/html.py
2025-07-24T04:00:26.9050130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/irc.py
2025-07-24T04:00:26.9051510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__init__.py
2025-07-24T04:00:26.9052740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/other.py
2025-07-24T04:00:26.9054400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/html.cpython-313.pyc
2025-07-24T04:00:26.9055980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/pangomarkup.cpython-313.pyc
2025-07-24T04:00:26.9057460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/img.cpython-313.pyc
2025-07-24T04:00:26.9059170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/groff.cpython-313.pyc
2025-07-24T04:00:26.9060540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/svg.cpython-313.pyc
2025-07-24T04:00:26.9062310Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/latex.cpython-313.pyc
2025-07-24T04:00:26.9063750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/bbcode.cpython-313.pyc
2025-07-24T04:00:26.9065360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal256.cpython-313.pyc
2025-07-24T04:00:26.9066880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/irc.cpython-313.pyc
2025-07-24T04:00:26.9068300Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal.cpython-313.pyc
2025-07-24T04:00:26.9069850Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/_mapping.cpython-313.pyc
2025-07-24T04:00:26.9071220Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/rtf.cpython-313.pyc
2025-07-24T04:00:26.9072730Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/other.cpython-313.pyc
2025-07-24T04:00:26.9074290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.9075400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/img.py
2025-07-24T04:00:26.9076430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/terminal256.py
2025-07-24T04:00:26.9077540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/rtf.py
2025-07-24T04:00:26.9078580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/svg.py
2025-07-24T04:00:26.9079740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/bbcode.py
2025-07-24T04:00:26.9081000Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/pangomarkup.py
2025-07-24T04:00:26.9082200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/_mapping.py
2025-07-24T04:00:26.9083490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/groff.py
2025-07-24T04:00:26.9084700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/latex.py
2025-07-24T04:00:26.9086010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/formatter.cpython-313.pyc
2025-07-24T04:00:26.9087250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/regexopt.cpython-313.pyc
2025-07-24T04:00:26.9088490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/scanner.cpython-313.pyc
2025-07-24T04:00:26.9089980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/lexer.cpython-313.pyc
2025-07-24T04:00:26.9091300Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/plugin.cpython-313.pyc
2025-07-24T04:00:26.9092580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/style.cpython-313.pyc
2025-07-24T04:00:26.9093780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/token.cpython-313.pyc
2025-07-24T04:00:26.9094970Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/unistring.cpython-313.pyc
2025-07-24T04:00:26.9096370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/modeline.cpython-313.pyc
2025-07-24T04:00:26.9097770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/util.cpython-313.pyc
2025-07-24T04:00:26.9099040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/cmdline.cpython-313.pyc
2025-07-24T04:00:26.9100220Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/sphinxext.cpython-313.pyc
2025-07-24T04:00:26.9101510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/filter.cpython-313.pyc
2025-07-24T04:00:26.9102770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/__main__.cpython-313.pyc
2025-07-24T04:00:26.9104020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.9105470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-07-24T04:00:26.9106370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/sas.py
2025-07-24T04:00:26.9107430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/material.py
2025-07-24T04:00:26.9108700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-07-24T04:00:26.9109780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-07-24T04:00:26.9110830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-07-24T04:00:26.9111810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-07-24T04:00:26.9112920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-07-24T04:00:26.9114080Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-07-24T04:00:26.9115080Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-07-24T04:00:26.9116170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/tango.py
2025-07-24T04:00:26.9117360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-07-24T04:00:26.9118430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-07-24T04:00:26.9119590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-07-24T04:00:26.9120760Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-07-24T04:00:26.9121830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-07-24T04:00:26.9122830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-07-24T04:00:26.9123840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-07-24T04:00:26.9124920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/native.py
2025-07-24T04:00:26.9126290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-07-24T04:00:26.9127690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-07-24T04:00:26.9128950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-07-24T04:00:26.9130240Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-07-24T04:00:26.9131670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-07-24T04:00:26.9132960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-07-24T04:00:26.9134430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-07-24T04:00:26.9135770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-07-24T04:00:26.9137100Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-07-24T04:00:26.9138510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-07-24T04:00:26.9139880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-07-24T04:00:26.9141380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-07-24T04:00:26.9142570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-07-24T04:00:26.9143780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-07-24T04:00:26.9145270Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-07-24T04:00:26.9146670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-07-24T04:00:26.9147950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-07-24T04:00:26.9149350Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-07-24T04:00:26.9150870Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-07-24T04:00:26.9152020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-07-24T04:00:26.9153390Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
2025-07-24T04:00:26.9154800Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gruvbox.cpython-313.pyc
2025-07-24T04:00:26.9156260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly_grayscale.cpython-313.pyc
2025-07-24T04:00:26.9157660Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_light.cpython-313.pyc
2025-07-24T04:00:26.9159020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/zenburn.cpython-313.pyc
2025-07-24T04:00:26.9160410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_light.cpython-313.pyc
2025-07-24T04:00:26.9161530Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rrt.cpython-313.pyc
2025-07-24T04:00:26.9162750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/autumn.cpython-313.pyc
2025-07-24T04:00:26.9164170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/pastie.cpython-313.pyc
2025-07-24T04:00:26.9165490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_dark.cpython-313.pyc
2025-07-24T04:00:26.9166770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/sas.cpython-313.pyc
2025-07-24T04:00:26.9168090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/dracula.cpython-313.pyc
2025-07-24T04:00:26.9169480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/solarized.cpython-313.pyc
2025-07-24T04:00:26.9171030Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/native.cpython-313.pyc
2025-07-24T04:00:26.9172470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/emacs.cpython-313.pyc
2025-07-24T04:00:26.9173720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/default.cpython-313.pyc
2025-07-24T04:00:26.9174990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/tango.cpython-313.pyc
2025-07-24T04:00:26.9176550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rainbow_dash.cpython-313.pyc
2025-07-24T04:00:26.9177780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/bw.cpython-313.pyc
2025-07-24T04:00:26.9178900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/abap.cpython-313.pyc
2025-07-24T04:00:26.9180040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/perldoc.cpython-313.pyc
2025-07-24T04:00:26.9181190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/_mapping.cpython-313.pyc
2025-07-24T04:00:26.9182340Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly.cpython-313.pyc
2025-07-24T04:00:26.9183410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vim.cpython-313.pyc
2025-07-24T04:00:26.9184570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/monokai.cpython-313.pyc
2025-07-24T04:00:26.9185730Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/trac.cpython-313.pyc
2025-07-24T04:00:26.9186840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/__init__.cpython-313.pyc
2025-07-24T04:00:26.9188010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/staroffice.cpython-313.pyc
2025-07-24T04:00:26.9188830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/colorful.py
2025-07-24T04:00:26.9189760Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lilypond.py
2025-07-24T04:00:26.9190600Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/igor.py
2025-07-24T04:00:26.9191500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/zenburn.py
2025-07-24T04:00:26.9192360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/bw.py
2025-07-24T04:00:26.9193260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/emacs.py
2025-07-24T04:00:26.9194150Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/dracula.py
2025-07-24T04:00:26.9194990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/vs.py
2025-07-24T04:00:26.9195890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/default.py
2025-07-24T04:00:26.9196880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_light.py
2025-07-24T04:00:26.9197770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lovelace.py
2025-07-24T04:00:26.9198700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/stata_dark.py
2025-07-24T04:00:26.9199540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/vim.py
2025-07-24T04:00:26.9200470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/borland.py
2025-07-24T04:00:26.9201450Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/coffee.py
2025-07-24T04:00:26.9202550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/_mapping.py
2025-07-24T04:00:26.9203720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/murphy.py
2025-07-24T04:00:26.9204750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lightbulb.py
2025-07-24T04:00:26.9205740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/fruity.py
2025-07-24T04:00:26.9206850Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/abap.py
2025-07-24T04:00:26.9207900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/rainbow_dash.py
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2025-07-24T04:00:26.9209900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/autumn.py
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2025-07-24T04:00:26.9843410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/serialization/pkcs7.py
2025-07-24T04:00:26.9844470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/serialization/ssh.py
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2025-07-24T04:00:26.9846560Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/cmac.py
2025-07-24T04:00:26.9847720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_asymmetric.py
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2025-07-24T04:00:26.9850040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/poly1305.cpython-313.pyc
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2025-07-24T04:00:26.9854060Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/_cipheralgorithm.cpython-313.pyc
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2025-07-24T04:00:26.9856560Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/keywrap.cpython-313.pyc
2025-07-24T04:00:26.9857760Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/hmac.cpython-313.pyc
2025-07-24T04:00:26.9859010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/cmac.cpython-313.pyc
2025-07-24T04:00:26.9860390Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/constant_time.cpython-313.pyc
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2025-07-24T04:00:26.9862900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/padding.cpython-313.pyc
2025-07-24T04:00:26.9863980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py
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2025-07-24T04:00:26.9866200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/algorithms.py
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2025-07-24T04:00:26.9871080Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/modes.cpython-313.pyc
2025-07-24T04:00:26.9872510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/algorithms.cpython-313.pyc
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2025-07-24T04:00:26.9889110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/rsa.cpython-313.pyc
2025-07-24T04:00:26.9890480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/ed448.cpython-313.pyc
2025-07-24T04:00:26.9891820Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/ec.cpython-313.pyc
2025-07-24T04:00:26.9893130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/utils.cpython-313.pyc
2025-07-24T04:00:26.9894470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/dh.cpython-313.pyc
2025-07-24T04:00:26.9895860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/x448.cpython-313.pyc
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2025-07-24T04:00:26.9899840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/dsa.cpython-313.pyc
2025-07-24T04:00:26.9901450Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/padding.cpython-313.pyc
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2025-07-24T04:00:26.9918390Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/ocsp.pyi
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2025-07-24T04:00:26.9921740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ec.pyi
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2025-07-24T04:00:26.9924000Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/cmac.pyi
2025-07-24T04:00:26.9925160Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ciphers.pyi
2025-07-24T04:00:26.9926330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/__init__.pyi
2025-07-24T04:00:26.9927840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/hashes.pyi
2025-07-24T04:00:26.9928600Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/kdf.pyi
2025-07-24T04:00:26.9929790Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/rsa.pyi
2025-07-24T04:00:26.9930880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/keys.pyi
2025-07-24T04:00:26.9931980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/x448.pyi
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2025-07-24T04:00:26.9934280Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ed448.pyi
2025-07-24T04:00:26.9935460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/poly1305.pyi
2025-07-24T04:00:26.9936590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/aead.pyi
2025-07-24T04:00:26.9937720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/dh.pyi
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2025-07-24T04:00:26.9939870Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/pkcs12.pyi
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2025-07-24T04:00:26.9942060Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/pkcs7.pyi
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2025-07-24T04:00:26.9945360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust.abi3.so
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2025-07-24T04:00:26.9950610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/openssl/__pycache__/__init__.cpython-313.pyc
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2025-07-24T04:00:26.9970740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/x509/__pycache__/certificate_transparency.cpython-313.pyc
2025-07-24T04:00:26.9972100Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/x509/__pycache__/ocsp.cpython-313.pyc
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2025-07-24T04:00:27.0164380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/markdown_it/rules_core/smartquotes.py
2025-07-24T04:00:27.0165570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/markdown_it/rules_core/normalize.py
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2025-07-24T04:00:27.0227440Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/markdown_it/common/normalize_url.py
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2025-07-24T04:00:27.3736930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_model_construction.py
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2025-07-24T04:00:27.3743330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_forward_ref.py
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2025-07-24T04:00:27.3747170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_fields.py
2025-07-24T04:00:27.3748330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_config.py
2025-07-24T04:00:27.3749650Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_mock_val_ser.py
2025-07-24T04:00:27.3750750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_git.py
2025-07-24T04:00:27.3752090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_generics.py
2025-07-24T04:00:27.3753180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_dataclasses.py
2025-07-24T04:00:27.3754230Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_internal_dataclass.py
2025-07-24T04:00:27.3755090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/_internal/_utils.py
2025-07-24T04:00:27.3756070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/experimental/__init__.py
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2025-07-24T04:00:27.3763070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/functional_validators.py
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2025-07-24T04:00:27.3764450Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/color.py
2025-07-24T04:00:27.3765300Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/config.py
2025-07-24T04:00:27.3766120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/version.py
2025-07-24T04:00:27.3766950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/fields.py
2025-07-24T04:00:27.3767890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/error_wrappers.py
2025-07-24T04:00:27.3768750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/decorator.py
2025-07-24T04:00:27.3769590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/validators.py
2025-07-24T04:00:27.3770430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/warnings.py
2025-07-24T04:00:27.3771250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/tools.py
2025-07-24T04:00:27.3772190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/plugin/_loader.py
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2025-07-24T04:00:27.3785980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/mypy.py
2025-07-24T04:00:27.3786190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/types.py
2025-07-24T04:00:27.3786420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/class_validators.py
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2025-07-24T04:00:27.3812950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/__pycache__/warnings.cpython-313.pyc
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2025-07-24T04:00:27.3847500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic/schema.py
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2025-07-24T04:00:27.5199350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir.3
2025-07-24T04:00:27.5200140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_disconnect.3
2025-07-24T04:00:27.5201010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink_ex.3
2025-07-24T04:00:27.5201420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ev.3
2025-07-24T04:00:27.5202190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_paths.3
2025-07-24T04:00:27.5202840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif.3
2025-07-24T04:00:27.5203520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_version.3
2025-07-24T04:00:27.5204070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi.3
2025-07-24T04:00:27.5204820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink.3
2025-07-24T04:00:27.5205470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_deletestr.3
2025-07-24T04:00:27.5206220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send.3
2025-07-24T04:00:27.5207140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init_android.3
2025-07-24T04:00:27.5207650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_end.3
2025-07-24T04:00:27.5208310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_strerror.3
2025-07-24T04:00:27.5209230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey.3
2025-07-24T04:00:27.5209850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_filter.3
2025-07-24T04:00:27.5210530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open.3
2025-07-24T04:00:27.5211340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir_ex.3
2025-07-24T04:00:27.5212060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_base64_decode.3
2025-07-24T04:00:27.5212710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_end.3
2025-07-24T04:00:27.5213630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sign_sk.3
2025-07-24T04:00:27.5214120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_lstat.3
2025-07-24T04:00:27.5214710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv.3
2025-07-24T04:00:27.5215330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send.3
2025-07-24T04:00:27.5216140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_init.3
2025-07-24T04:00:27.5216830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read.3
2025-07-24T04:00:27.5217650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password_ex.3
2025-07-24T04:00:27.5218240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open.3
2025-07-24T04:00:27.5219120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_sk.3
2025-07-24T04:00:27.5219900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_data.3
2025-07-24T04:00:27.5220590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_aaaa_reply.3
2025-07-24T04:00:27.5221500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size.3
2025-07-24T04:00:27.5222250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_stderr.3
2025-07-24T04:00:27.5222970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_crypto_engine.3
2025-07-24T04:00:27.5223720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_add.3
2025-07-24T04:00:27.5224580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_get_exit_signal.3
2025-07-24T04:00:27.5225240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_time.3
2025-07-24T04:00:27.5226010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_callback.3
2025-07-24T04:00:27.5226700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ns_reply.3
2025-07-24T04:00:27.5227440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getaddrinfo.3
2025-07-24T04:00:27.5228280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_read_timeout.3
2025-07-24T04:00:27.5228960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_caa_reply.3
2025-07-24T04:00:27.5229830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_read_timeout.3
2025-07-24T04:00:27.5230510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_free.3
2025-07-24T04:00:27.5231380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen_ex.3
2025-07-24T04:00:27.5232080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstatvfs.3
2025-07-24T04:00:27.5232840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_linkify.3
2025-07-24T04:00:27.5233550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv.3
2025-07-24T04:00:27.5234340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell.3
2025-07-24T04:00:27.5235190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile.3
2025-07-24T04:00:27.5236590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry.3
2025-07-24T04:00:27.5236760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll_channel_read.3
2025-07-24T04:00:27.5237550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile_ex.3
2025-07-24T04:00:27.5238130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_gets.3
2025-07-24T04:00:27.5239130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_frommemory.3
2025-07-24T04:00:27.5239780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace_sethandler.3
2025-07-24T04:00:27.5240400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write.3
2025-07-24T04:00:27.5241280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove_ex.3
2025-07-24T04:00:27.5241980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_free.3
2025-07-24T04:00:27.5242740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_realpath.3
2025-07-24T04:00:27.5243470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_init.3
2025-07-24T04:00:27.5244230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_fetch.3
2025-07-24T04:00:27.5245040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req.3
2025-07-24T04:00:27.5245930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove.3
2025-07-24T04:00:27.5246400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_reset.3
2025-07-24T04:00:27.5247330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_add_passphrase.3
2025-07-24T04:00:27.5247990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_methods.3
2025-07-24T04:00:27.5248820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek64.3
2025-07-24T04:00:27.5249560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename_ex.3
2025-07-24T04:00:27.5250390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_block_directions.3
2025-07-24T04:00:27.5251080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_eof.3
2025-07-24T04:00:27.5251950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_flag.3
2025-07-24T04:00:27.5252440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_exit.3
2025-07-24T04:00:27.5253160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_sortlist.3
2025-07-24T04:00:27.5253860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_insertstr.3
2025-07-24T04:00:27.5254500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll.3
2025-07-24T04:00:27.5255300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_free.3
2025-07-24T04:00:27.5256300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust.3
2025-07-24T04:00:27.5256860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_hostent.3
2025-07-24T04:00:27.5257630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init_ex.3
2025-07-24T04:00:27.5258630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write_ex.3
2025-07-24T04:00:27.5259310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_timeout.3
2025-07-24T04:00:27.5260110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_blocking.3
2025-07-24T04:00:27.5260790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip6.3
2025-07-24T04:00:27.5261620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write.3
2025-07-24T04:00:27.5262230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-pool.3
2025-07-24T04:00:27.5263060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip.3
2025-07-24T04:00:27.5263630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wgets.3
2025-07-24T04:00:27.5264290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_winit.3
2025-07-24T04:00:27.5265030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconvctl.3
2025-07-24T04:00:27.5265950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_w.3
2025-07-24T04:00:27.5267080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writefile.3
2025-07-24T04:00:27.5267690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/readline.3
2025-07-24T04:00:27.5268790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect_ex.3
2025-07-24T04:00:27.5269710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_txt_reply.3
2025-07-24T04:00:27.5270700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect.3
2025-07-24T04:00:27.5271520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_end.3
2025-07-24T04:00:27.5272410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req_ex.3
2025-07-24T04:00:27.5273900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile.3
2025-07-24T04:00:27.5274820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readlink.3
2025-07-24T04:00:27.5275440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_get.3
2025-07-24T04:00:27.5276330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_header.3
2025-07-24T04:00:27.5276980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename_ex.3
2025-07-24T04:00:27.5277710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_send.3
2025-07-24T04:00:27.5278380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_acl.3
2025-07-24T04:00:27.5279110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_hostkey_hash.3
2025-07-24T04:00:27.5279730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_search.3
2025-07-24T04:00:27.5280460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat.3
2025-07-24T04:00:27.5281260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_abstract.3
2025-07-24T04:00:27.5282350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_mx_reply.3
2025-07-24T04:00:27.5282780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv2.3
2025-07-24T04:00:27.5283570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_ex_r.3
2025-07-24T04:00:27.5284430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive.3
2025-07-24T04:00:27.5285110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsetstat.3
2025-07-24T04:00:27.5285710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_wline.3
2025-07-24T04:00:27.5286470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_shutdown.3
2025-07-24T04:00:27.5287250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_eof.3
2025-07-24T04:00:27.5287960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_version.3
2025-07-24T04:00:27.5288780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_srv_reply.3
2025-07-24T04:00:27.5289330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_set.3
2025-07-24T04:00:27.5290080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyaddr.3
2025-07-24T04:00:27.5290740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_winsertstr.3
2025-07-24T04:00:27.5291620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip_ex.3
2025-07-24T04:00:27.5292350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions.3
2025-07-24T04:00:27.5293070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat_ex.3
2025-07-24T04:00:27.5294150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity_path.3
2025-07-24T04:00:27.5294580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_init.3
2025-07-24T04:00:27.5295180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wline.3
2025-07-24T04:00:27.5295760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dup.3
2025-07-24T04:00:27.5296630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_set_blocking.3
2025-07-24T04:00:27.5297360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat_ex.3
2025-07-24T04:00:27.5298080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv.3
2025-07-24T04:00:27.5298750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_new.3
2025-07-24T04:00:27.5299640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_wstr.3
2025-07-24T04:00:27.5300120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_get.3
2025-07-24T04:00:27.5300680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_line.3
2025-07-24T04:00:27.5301430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_free.3
2025-07-24T04:00:27.5302150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_sign.3
2025-07-24T04:00:27.5302890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports.3
2025-07-24T04:00:27.5303710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readfile.3
2025-07-24T04:00:27.5304420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_cleanup.3
2025-07-24T04:00:27.5305020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wget.3
2025-07-24T04:00:27.5305700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_changes.3
2025-07-24T04:00:27.5306480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_banner.3
2025-07-24T04:00:27.5307320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_setstat.3
2025-07-24T04:00:27.5307950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell64.3
2025-07-24T04:00:27.5308810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_authenticated.3
2025-07-24T04:00:27.5309460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send64.3
2025-07-24T04:00:27.5310090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive.3
2025-07-24T04:00:27.5310820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_internals.3
2025-07-24T04:00:27.5311620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_set_options.3
2025-07-24T04:00:27.5312250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_data.3
2025-07-24T04:00:27.5313130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_initialized.3
2025-07-24T04:00:27.5313910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_init.3
2025-07-24T04:00:27.5314650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_last_error.3
2025-07-24T04:00:27.5315460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_list_identities.3
2025-07-24T04:00:27.5316150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_uri_reply.3
2025-07-24T04:00:27.5316820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers.3
2025-07-24T04:00:27.5317540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename.3
2025-07-24T04:00:27.5318140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_query.3
2025-07-24T04:00:27.5319020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_finish_entry.3
2025-07-24T04:00:27.5320310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wset.3
2025-07-24T04:00:27.5320690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_closedir.3
2025-07-24T04:00:27.5320980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_resize.3
2025-07-24T04:00:27.5321680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsync.3
2025-07-24T04:00:27.5322250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_init.3
2025-07-24T04:00:27.5323000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_r.3
2025-07-24T04:00:27.5323770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_set_options.3
2025-07-24T04:00:27.5324710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_handle_extended_data.3
2025-07-24T04:00:27.5325520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_blocking.3
2025-07-24T04:00:27.5326140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wpush.3
2025-07-24T04:00:27.5326770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ptr_reply.3
2025-07-24T04:00:27.5327720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size_ex.3
2025-07-24T04:00:27.5328400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir_ex.3
2025-07-24T04:00:27.5328950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_line.3
2025-07-24T04:00:27.5329770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_last_errno.3
2025-07-24T04:00:27.5330520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_ex.3
2025-07-24T04:00:27.5331260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_save_options.3
2025-07-24T04:00:27.5332270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_hostkey.3
2025-07-24T04:00:27.5332780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_ntop.3
2025-07-24T04:00:27.5333470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_read.3
2025-07-24T04:00:27.5334000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/editline.3
2025-07-24T04:00:27.5334810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_send_eof.3
2025-07-24T04:00:27.5335620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_accept.3
2025-07-24T04:00:27.5336520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_streamlocal_ex.3
2025-07-24T04:00:27.5337230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir.3
2025-07-24T04:00:27.5338080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_cancel.3
2025-07-24T04:00:27.5338890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive_ex.3
2025-07-24T04:00:27.5339400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_reset.3
2025-07-24T04:00:27.5340150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_header.3
2025-07-24T04:00:27.5340730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wparse.3
2025-07-24T04:00:27.5341490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_del.3
2025-07-24T04:00:27.5342260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_ex.3
2025-07-24T04:00:27.5343240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile_ex.3
2025-07-24T04:00:27.5344080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_expand_name.3
2025-07-24T04:00:27.5344450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_push.3
2025-07-24T04:00:27.5345100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_wreset.3
2025-07-24T04:00:27.5345880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_perms.3
2025-07-24T04:00:27.5346690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_callback_set2.3
2025-07-24T04:00:27.5347490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_closed.3
2025-07-24T04:00:27.5348010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_init.3
2025-07-24T04:00:27.5348800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush.3
2025-07-24T04:00:27.5349550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_mkdir_ex.3
2025-07-24T04:00:27.5350260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_init.3
2025-07-24T04:00:27.5350830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gensprep.8
2025-07-24T04:00:27.5351450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kproplog.8
2025-07-24T04:00:27.5352070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/genccode.8
2025-07-24T04:00:27.5352650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kpropd.8
2025-07-24T04:00:27.5353250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kadmind.8
2025-07-24T04:00:27.5353840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/icupkg.8
2025-07-24T04:00:27.5354530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/sserver.8
2025-07-24T04:00:27.5355140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kdb5_util.8
2025-07-24T04:00:27.5355750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/krb5kdc.8
2025-07-24T04:00:27.5356570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kprop.8
2025-07-24T04:00:27.5357030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kadmin.local.8
2025-07-24T04:00:27.5357590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gencmn.8
2025-07-24T04:00:27.5358310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/kdb5_ldap_util.8
2025-07-24T04:00:27.5358900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/acountry.1
2025-07-24T04:00:27.5359480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4cat.1
2025-07-24T04:00:27.5360070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzma.1
2025-07-24T04:00:27.5360760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icuexportdata.1
2025-07-24T04:00:27.5361380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kdestroy.1
2025-07-24T04:00:27.5361970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xmlwf.1
2025-07-24T04:00:27.5362720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/installcheck.1
2025-07-24T04:00:27.5363220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unzstd.1
2025-07-24T04:00:27.5363800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmore.1
2025-07-24T04:00:27.5364380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzmore.1
2025-07-24T04:00:27.5365040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/krb5-config.1
2025-07-24T04:00:27.5365640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmainfo.1
2025-07-24T04:00:27.5366250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/mergesolv.1
2025-07-24T04:00:27.5366910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.13.1
2025-07-24T04:00:27.5367490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdcat.1
2025-07-24T04:00:27.5368070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcat.1
2025-07-24T04:00:27.5368670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdtar.1
2025-07-24T04:00:27.5369380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlz4.1
2025-07-24T04:00:27.5369870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4.1
2025-07-24T04:00:27.5370840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icu-config.1
2025-07-24T04:00:27.5371240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/compile_et.1
2025-07-24T04:00:27.5371780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/adig.1
2025-07-24T04:00:27.5372410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kadmin.1
2025-07-24T04:00:27.5372980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kvno.1
2025-07-24T04:00:27.5373550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcmp.1
2025-07-24T04:00:27.5374160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.1
2025-07-24T04:00:27.5374770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/pkgdata.1
2025-07-24T04:00:27.5375400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/sclient.1
2025-07-24T04:00:27.5375960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzdiff.1
2025-07-24T04:00:27.5376590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ktutil.1
2025-07-24T04:00:27.5377280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gendict.1
2025-07-24T04:00:27.5377820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kswitch.1
2025-07-24T04:00:27.5378530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdiff.1
2025-07-24T04:00:27.5379120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xz.1
2025-07-24T04:00:27.5379770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ahost.1
2025-07-24T04:00:27.5380450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genrb.1
2025-07-24T04:00:27.5381340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/k5srvutil.1
2025-07-24T04:00:27.5382180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ksu.1
2025-07-24T04:00:27.5382800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdec.1
2025-07-24T04:00:27.5383580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/repo2solv.1
2025-07-24T04:00:27.5384500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzegrep.1
2025-07-24T04:00:27.5385190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/iconv.1
2025-07-24T04:00:27.5385910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/solv.1
2025-07-24T04:00:27.5386640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/sqlite3.1
2025-07-24T04:00:27.5387310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzgrep.1
2025-07-24T04:00:27.5388080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzgrep.1
2025-07-24T04:00:27.5388800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kpasswd.1
2025-07-24T04:00:27.5389490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzegrep.1
2025-07-24T04:00:27.5390370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdless.1
2025-07-24T04:00:27.5391340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kinit.1
2025-07-24T04:00:27.5392030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/dumpsolv.1
2025-07-24T04:00:27.5392690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzless.1
2025-07-24T04:00:27.5393540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlzma.1
2025-07-24T04:00:27.5394410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdunzip.1
2025-07-24T04:00:27.5395120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcpio.1
2025-07-24T04:00:27.5395930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genbrk.1
2025-07-24T04:00:27.5396630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzless.1
2025-07-24T04:00:27.5397500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzfgrep.1
2025-07-24T04:00:27.5398330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/testsolv.1
2025-07-24T04:00:27.5398990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstd.1
2025-07-24T04:00:27.5399830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdgrep.1
2025-07-24T04:00:27.5400570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcat.1
2025-07-24T04:00:27.5401370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4c.1
2025-07-24T04:00:27.5402230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcmp.1
2025-07-24T04:00:27.5402970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unxz.1
2025-07-24T04:00:27.5403740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzfgrep.1
2025-07-24T04:00:27.5404510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencnval.1
2025-07-24T04:00:27.5405250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/klist.1
2025-07-24T04:00:27.5406160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/makeconv.1
2025-07-24T04:00:27.5406860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmadec.1
2025-07-24T04:00:27.5407730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcat.1
2025-07-24T04:00:27.5408450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencfu.1
2025-07-24T04:00:27.5409150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/derb.1
2025-07-24T04:00:27.5410070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man7/editline.7
2025-07-24T04:00:27.5410800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man7/kerberos.7
2025-07-24T04:00:27.5411560Z /opt/homebrew/Caskroom/miniconda/base/share/aclocal/libxml.m4
2025-07-24T04:00:27.5412390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mauritius
2025-07-24T04:00:27.5413180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Chagos
2025-07-24T04:00:27.5413950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mayotte
2025-07-24T04:00:27.5414980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Christmas
2025-07-24T04:00:27.5415770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Cocos
2025-07-24T04:00:27.5416740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Maldives
2025-07-24T04:00:27.5417650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Comoro
2025-07-24T04:00:27.5418320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Reunion
2025-07-24T04:00:27.5419090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mahe
2025-07-24T04:00:27.5425630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Kerguelen
2025-07-24T04:00:27.5425830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Antananarivo
2025-07-24T04:00:27.5425980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faroe
2025-07-24T04:00:27.5426120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Canary
2025-07-24T04:00:27.5426260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Stanley
2025-07-24T04:00:27.5426400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Bermuda
2025-07-24T04:00:27.5426740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/South_Georgia
2025-07-24T04:00:27.5426940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/St_Helena
2025-07-24T04:00:27.5427410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Jan_Mayen
2025-07-24T04:00:27.5428230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faeroe
2025-07-24T04:00:27.5429150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Reykjavik
2025-07-24T04:00:27.5430260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Cape_Verde
2025-07-24T04:00:27.5431070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Azores
2025-07-24T04:00:27.5431950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Madeira
2025-07-24T04:00:27.5432900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CST6CDT
2025-07-24T04:00:27.5433700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Poland
2025-07-24T04:00:27.5434570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Alaska
2025-07-24T04:00:27.5435450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Pacific
2025-07-24T04:00:27.5436300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Eastern
2025-07-24T04:00:27.5437020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Michigan
2025-07-24T04:00:27.5437850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Arizona
2025-07-24T04:00:27.5438910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Indiana-Starke
2025-07-24T04:00:27.5439800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Aleutian
2025-07-24T04:00:27.5440650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Hawaii
2025-07-24T04:00:27.5441520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/East-Indiana
2025-07-24T04:00:27.5442370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Central
2025-07-24T04:00:27.5443230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Mountain
2025-07-24T04:00:27.5443930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Samoa
2025-07-24T04:00:27.5444930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Kwajalein
2025-07-24T04:00:27.5445760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leapseconds
2025-07-24T04:00:27.5446650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/DeNoronha
2025-07-24T04:00:27.5447380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/Acre
2025-07-24T04:00:27.5448220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/East
2025-07-24T04:00:27.5449000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/West
2025-07-24T04:00:27.5449910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Port_Moresby
2025-07-24T04:00:27.5450660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chuuk
2025-07-24T04:00:27.5451340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Easter
2025-07-24T04:00:27.5452030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kwajalein
2025-07-24T04:00:27.5452840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tongatapu
2025-07-24T04:00:27.5453410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Yap
2025-07-24T04:00:27.5454140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wallis
2025-07-24T04:00:27.5454710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Apia
2025-07-24T04:00:27.5455470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Norfolk
2025-07-24T04:00:27.5456030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Efate
2025-07-24T04:00:27.5456770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fiji
2025-07-24T04:00:27.5457360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Funafuti
2025-07-24T04:00:27.5457990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Palau
2025-07-24T04:00:27.5458750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guam
2025-07-24T04:00:27.5459320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Saipan
2025-07-24T04:00:27.5460010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kosrae
2025-07-24T04:00:27.5460640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Niue
2025-07-24T04:00:27.5461280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Ponape
2025-07-24T04:00:27.5461900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wake
2025-07-24T04:00:27.5462600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Galapagos
2025-07-24T04:00:27.5463250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Johnston
2025-07-24T04:00:27.5463900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Midway
2025-07-24T04:00:27.5464670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Nauru
2025-07-24T04:00:27.5465290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guadalcanal
2025-07-24T04:00:27.5465920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chatham
2025-07-24T04:00:27.5466590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Auckland
2025-07-24T04:00:27.5467230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Noumea
2025-07-24T04:00:27.5467920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fakaofo
2025-07-24T04:00:27.5468690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tahiti
2025-07-24T04:00:27.5469240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Gambier
2025-07-24T04:00:27.5469950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Majuro
2025-07-24T04:00:27.5470600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Honolulu
2025-07-24T04:00:27.5471370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pohnpei
2025-07-24T04:00:27.5471950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pago_Pago
2025-07-24T04:00:27.5472690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Truk
2025-07-24T04:00:27.5473280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pitcairn
2025-07-24T04:00:27.5473940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Marquesas
2025-07-24T04:00:27.5474630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kanton
2025-07-24T04:00:27.5475400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Bougainville
2025-07-24T04:00:27.5475970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tarawa
2025-07-24T04:00:27.5476690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Rarotonga
2025-07-24T04:00:27.5477330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Samoa
2025-07-24T04:00:27.5478140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kiritimati
2025-07-24T04:00:27.5478730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Enderbury
2025-07-24T04:00:27.5479320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone1970.tab
2025-07-24T04:00:27.5479970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST
2025-07-24T04:00:27.5480390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ
2025-07-24T04:00:27.5481330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Arctic/Longyearbyen
2025-07-24T04:00:27.5481840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Universal
2025-07-24T04:00:27.5482310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Libya
2025-07-24T04:00:27.5482900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Turkey
2025-07-24T04:00:27.5483670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/iso3166.tab
2025-07-24T04:00:27.5484180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST5EDT
2025-07-24T04:00:27.5484900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Greenwich
2025-07-24T04:00:27.5485530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Puerto_Rico
2025-07-24T04:00:27.5486320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Recife
2025-07-24T04:00:27.5486900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Resolute
2025-07-24T04:00:27.5487730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Manaus
2025-07-24T04:00:27.5488360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/New_York
2025-07-24T04:00:27.5489030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rankin_Inlet
2025-07-24T04:00:27.5489920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lima
2025-07-24T04:00:27.5490410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Barthelemy
2025-07-24T04:00:27.5491140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santo_Domingo
2025-07-24T04:00:27.5491740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Detroit
2025-07-24T04:00:27.5492450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Paramaribo
2025-07-24T04:00:27.5493090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yakutat
2025-07-24T04:00:27.5493750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santarem
2025-07-24T04:00:27.5494490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Punta_Arenas
2025-07-24T04:00:27.5495180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Scoresbysund
2025-07-24T04:00:27.5496100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santiago
2025-07-24T04:00:27.5496560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guyana
2025-07-24T04:00:27.5497310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coral_Harbour
2025-07-24T04:00:27.5497940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rio_Branco
2025-07-24T04:00:27.5498640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Acre
2025-07-24T04:00:27.5499360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ciudad_Juarez
2025-07-24T04:00:27.5499990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nipigon
2025-07-24T04:00:27.5500720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Edmonton
2025-07-24T04:00:27.5501700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port_of_Spain
2025-07-24T04:00:27.5502310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lower_Princes
2025-07-24T04:00:27.5503030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Thomas
2025-07-24T04:00:27.5503680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guatemala
2025-07-24T04:00:27.5504380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Catamarca
2025-07-24T04:00:27.5505030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Antigua
2025-07-24T04:00:27.5505710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Velho
2025-07-24T04:00:27.5506360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rosario
2025-07-24T04:00:27.5507020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chicago
2025-07-24T04:00:27.5507670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Creston
2025-07-24T04:00:27.5508680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Managua
2025-07-24T04:00:27.5509110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nassau
2025-07-24T04:00:27.5509900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bogota
2025-07-24T04:00:27.5510390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cancun
2025-07-24T04:00:27.5511040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chihuahua
2025-07-24T04:00:27.5511800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Campo_Grande
2025-07-24T04:00:27.5512390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Halifax
2025-07-24T04:00:27.5513030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boise
2025-07-24T04:00:27.5514150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montreal
2025-07-24T04:00:27.5514600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Goose_Bay
2025-07-24T04:00:27.5515280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sao_Paulo
2025-07-24T04:00:27.5515930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Blanc-Sablon
2025-07-24T04:00:27.5516630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Phoenix
2025-07-24T04:00:27.5517240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atikokan
2025-07-24T04:00:27.5517910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayenne
2025-07-24T04:00:27.5518530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nuuk
2025-07-24T04:00:27.5519250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santa_Isabel
2025-07-24T04:00:27.5519960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boa_Vista
2025-07-24T04:00:27.5520790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia_Banderas
2025-07-24T04:00:27.5521440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vevay
2025-07-24T04:00:27.5522380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Indianapolis
2025-07-24T04:00:27.5523150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Winamac
2025-07-24T04:00:27.5524130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Tell_City
2025-07-24T04:00:27.5525080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Petersburg
2025-07-24T04:00:27.5526050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vincennes
2025-07-24T04:00:27.5526910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Knox
2025-07-24T04:00:27.5527780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Marengo
2025-07-24T04:00:27.5528710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indianapolis
2025-07-24T04:00:27.5529700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dominica
2025-07-24T04:00:27.5530600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Salta
2025-07-24T04:00:27.5531580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Ushuaia
2025-07-24T04:00:27.5532640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Catamarca
2025-07-24T04:00:27.5533660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/ComodRivadavia
2025-07-24T04:00:27.5534780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Juan
2025-07-24T04:00:27.5535740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Luis
2025-07-24T04:00:27.5536740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-07-24T04:00:27.5537710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Jujuy
2025-07-24T04:00:27.5538740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Tucuman
2025-07-24T04:00:27.5539870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Buenos_Aires
2025-07-24T04:00:27.5540870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Cordoba
2025-07-24T04:00:27.5542240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/La_Rioja
2025-07-24T04:00:27.5543070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Mendoza
2025-07-24T04:00:27.5543820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/La_Paz
2025-07-24T04:00:27.5545040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson
2025-07-24T04:00:27.5545750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Moncton
2025-07-24T04:00:27.5546630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Matamoros
2025-07-24T04:00:27.5547670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Vincent
2025-07-24T04:00:27.5548560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Regina
2025-07-24T04:00:27.5549430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yellowknife
2025-07-24T04:00:27.5550300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rainy_River
2025-07-24T04:00:27.5551160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kralendijk
2025-07-24T04:00:27.5552010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Monterrey
2025-07-24T04:00:27.5552880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jamaica
2025-07-24T04:00:27.5553710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Havana
2025-07-24T04:00:27.5554710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tegucigalpa
2025-07-24T04:00:27.5555530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guayaquil
2025-07-24T04:00:27.5556360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Metlakatla
2025-07-24T04:00:27.5557210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mazatlan
2025-07-24T04:00:27.5558140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belize
2025-07-24T04:00:27.5558990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Knox_IN
2025-07-24T04:00:27.5560000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cuiaba
2025-07-24T04:00:27.5560760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Merida
2025-07-24T04:00:27.5561540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jujuy
2025-07-24T04:00:27.5562430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayman
2025-07-24T04:00:27.5563160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belem
2025-07-24T04:00:27.5564050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Eirunepe
2025-07-24T04:00:27.5564910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Lucia
2025-07-24T04:00:27.5565770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia
2025-07-24T04:00:27.5566600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Whitehorse
2025-07-24T04:00:27.5567420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tortola
2025-07-24T04:00:27.5568370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Vancouver
2025-07-24T04:00:27.5569200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Inuvik
2025-07-24T04:00:27.5570030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port-au-Prince
2025-07-24T04:00:27.5570850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fortaleza
2025-07-24T04:00:27.5571760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Noronha
2025-07-24T04:00:27.5572770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Buenos_Aires
2025-07-24T04:00:27.5573640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Los_Angeles
2025-07-24T04:00:27.5574590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/El_Salvador
2025-07-24T04:00:27.5575360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Denver
2025-07-24T04:00:27.5576400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Wayne
2025-07-24T04:00:27.5577410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Louisville
2025-07-24T04:00:27.5578410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Monticello
2025-07-24T04:00:27.5579490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/New_Salem
2025-07-24T04:00:27.5580440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Center
2025-07-24T04:00:27.5581690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Beulah
2025-07-24T04:00:27.5582530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Glace_Bay
2025-07-24T04:00:27.5583610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montserrat
2025-07-24T04:00:27.5584460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Toronto
2025-07-24T04:00:27.5585380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Panama
2025-07-24T04:00:27.5586310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cordoba
2025-07-24T04:00:27.5587210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Louisville
2025-07-24T04:00:27.5588080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ensenada
2025-07-24T04:00:27.5589020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Shiprock
2025-07-24T04:00:27.5589890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ojinaga
2025-07-24T04:00:27.5590640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thule
2025-07-24T04:00:27.5591410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Caracas
2025-07-24T04:00:27.5592290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Araguaina
2025-07-24T04:00:27.5593080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cambridge_Bay
2025-07-24T04:00:27.5593990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Winnipeg
2025-07-24T04:00:27.5594910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grand_Turk
2025-07-24T04:00:27.5595830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Virgin
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2025-07-24T04:00:27.5597570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Costa_Rica
2025-07-24T04:00:27.5598370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nome
2025-07-24T04:00:27.5599230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grenada
2025-07-24T04:00:27.5600080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Johns
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2025-07-24T04:00:27.5601860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Asuncion
2025-07-24T04:00:27.5602750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Hermosillo
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2025-07-24T04:00:27.5604430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Marigot
2025-07-24T04:00:27.5605190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Juneau
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2025-07-24T04:00:27.5606900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Godthab
2025-07-24T04:00:27.5608050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guadeloupe
2025-07-24T04:00:27.5608670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Maceio
2025-07-24T04:00:27.5609470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Pangnirtung
2025-07-24T04:00:27.5610430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Kitts
2025-07-24T04:00:27.5611280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Barbados
2025-07-24T04:00:27.5612210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Iqaluit
2025-07-24T04:00:27.5613010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Menominee
2025-07-24T04:00:27.5613910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Martinique
2025-07-24T04:00:27.5614830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mexico_City
2025-07-24T04:00:27.5615680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Swift_Current
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2025-07-24T04:00:27.5618320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson_Creek
2025-07-24T04:00:27.5619190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mendoza
2025-07-24T04:00:27.5619970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Adak
2025-07-24T04:00:27.5620830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coyhaique
2025-07-24T04:00:27.5621590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thunder_Bay
2025-07-24T04:00:27.5622390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Aruba
2025-07-24T04:00:27.5623330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Nelson
2025-07-24T04:00:27.5624200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sitka
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2025-07-24T04:00:27.5626130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Danmarkshavn
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2025-07-24T04:00:27.5633440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Canberra
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2025-07-24T04:00:27.5634900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/ACT
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2025-07-24T04:00:27.5637680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Hobart
2025-07-24T04:00:27.5638520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Perth
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2025-07-24T04:00:27.5642360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/NSW
2025-07-24T04:00:27.5643090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Broken_Hill
2025-07-24T04:00:27.5643740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Currie
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2025-07-24T04:00:27.5700340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ust-Nera
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2025-07-24T04:00:27.5702280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Krasnoyarsk
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2025-07-24T04:00:27.5704270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jakarta
2025-07-24T04:00:27.5704920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kolkata
2025-07-24T04:00:27.5705520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kabul
2025-07-24T04:00:27.5706110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Oral
2025-07-24T04:00:27.5706780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jayapura
2025-07-24T04:00:27.5707460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pontianak
2025-07-24T04:00:27.5708310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Makassar
2025-07-24T04:00:27.5708770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tbilisi
2025-07-24T04:00:27.5709460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Singapore
2025-07-24T04:00:27.5710060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Harbin
2025-07-24T04:00:27.5710700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kashgar
2025-07-24T04:00:27.5711310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dhaka
2025-07-24T04:00:27.5711940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yakutsk
2025-07-24T04:00:27.5712750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuala_Lumpur
2025-07-24T04:00:27.5713360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tehran
2025-07-24T04:00:27.5713990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Beirut
2025-07-24T04:00:27.5714660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtobe
2025-07-24T04:00:27.5715270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Anadyr
2025-07-24T04:00:27.5715920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bishkek
2025-07-24T04:00:27.5716530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dubai
2025-07-24T04:00:27.5717120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Riyadh
2025-07-24T04:00:27.5717840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novokuznetsk
2025-07-24T04:00:27.5718890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtau
2025-07-24T04:00:27.5719250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Omsk
2025-07-24T04:00:27.5719860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashkhabad
2025-07-24T04:00:27.5720430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Saigon
2025-07-24T04:00:27.5721060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Sakhalin
2025-07-24T04:00:27.5721720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hong_Kong
2025-07-24T04:00:27.5722410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Phnom_Penh
2025-07-24T04:00:27.5722990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Nicosia
2025-07-24T04:00:27.5723640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baghdad
2025-07-24T04:00:27.5724410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Srednekolymsk
2025-07-24T04:00:27.5725330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashgabat
2025-07-24T04:00:27.5725810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kathmandu
2025-07-24T04:00:27.5726510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Choibalsan
2025-07-24T04:00:27.5727380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bangkok
2025-07-24T04:00:27.5728030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chungking
2025-07-24T04:00:27.5728700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novosibirsk
2025-07-24T04:00:27.5729340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Famagusta
2025-07-24T04:00:27.5729970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Rangoon
2025-07-24T04:00:27.5730890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ho_Chi_Minh
2025-07-24T04:00:27.5731250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MET
2025-07-24T04:00:27.5731830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Portugal
2025-07-24T04:00:27.5732530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Palmer
2025-07-24T04:00:27.5733180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Davis
2025-07-24T04:00:27.5733850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Rothera
2025-07-24T04:00:27.5734530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Vostok
2025-07-24T04:00:27.5735220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Syowa
2025-07-24T04:00:27.5735990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/DumontDUrville
2025-07-24T04:00:27.5737000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/McMurdo
2025-07-24T04:00:27.5737470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Macquarie
2025-07-24T04:00:27.5738190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/South_Pole
2025-07-24T04:00:27.5738800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Troll
2025-07-24T04:00:27.5739510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Mawson
2025-07-24T04:00:27.5740140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Casey
2025-07-24T04:00:27.5740690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT-0
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2025-07-24T04:00:27.5741820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Eire
2025-07-24T04:00:27.5742380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PST8PDT
2025-07-24T04:00:27.5743120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leap-seconds.list
2025-07-24T04:00:27.5743620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Jamaica
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2025-07-24T04:00:27.5744720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Zulu
2025-07-24T04:00:27.5745290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Japan
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2025-07-24T04:00:27.5747090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zurich
2025-07-24T04:00:27.5747800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Paris
2025-07-24T04:00:27.5748360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Moscow
2025-07-24T04:00:27.5749080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Luxembourg
2025-07-24T04:00:27.5749720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ljubljana
2025-07-24T04:00:27.5750380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Helsinki
2025-07-24T04:00:27.5751000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Minsk
2025-07-24T04:00:27.5751660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Skopje
2025-07-24T04:00:27.5752290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Dublin
2025-07-24T04:00:27.5752930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Jersey
2025-07-24T04:00:27.5753650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/San_Marino
2025-07-24T04:00:27.5754330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Gibraltar
2025-07-24T04:00:27.5755010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belgrade
2025-07-24T04:00:27.5755650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Guernsey
2025-07-24T04:00:27.5756330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ulyanovsk
2025-07-24T04:00:27.5756970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Saratov
2025-07-24T04:00:27.5757590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vaduz
2025-07-24T04:00:27.5758300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Istanbul
2025-07-24T04:00:27.5759010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Lisbon
2025-07-24T04:00:27.5759660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Uzhgorod
2025-07-24T04:00:27.5760280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kirov
2025-07-24T04:00:27.5760920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tirane
2025-07-24T04:00:27.5761570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tiraspol
2025-07-24T04:00:27.5762250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sarajevo
2025-07-24T04:00:27.5762850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Madrid
2025-07-24T04:00:27.5763550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Podgorica
2025-07-24T04:00:27.5764190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Busingen
2025-07-24T04:00:27.5764840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vatican
2025-07-24T04:00:27.5765600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belfast
2025-07-24T04:00:27.5766450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bratislava
2025-07-24T04:00:27.5766880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kiev
2025-07-24T04:00:27.5767550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kaliningrad
2025-07-24T04:00:27.5768290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zaporozhye
2025-07-24T04:00:27.5768860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vienna
2025-07-24T04:00:27.5769520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Budapest
2025-07-24T04:00:27.5770190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vilnius
2025-07-24T04:00:27.5770810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Monaco
2025-07-24T04:00:27.5771480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Oslo
2025-07-24T04:00:27.5772350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Astrakhan
2025-07-24T04:00:27.5772870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Simferopol
2025-07-24T04:00:27.5773510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Volgograd
2025-07-24T04:00:27.5774110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kyiv
2025-07-24T04:00:27.5774810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Isle_of_Man
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2025-07-24T04:00:27.5777370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Prague
2025-07-24T04:00:27.5778230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Berlin
2025-07-24T04:00:27.5778720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tallinn
2025-07-24T04:00:27.5779290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Rome
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2025-07-24T04:00:27.5780580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zagreb
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2025-07-24T04:00:27.5782580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bucharest
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2025-07-24T04:00:27.5783950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Chisinau
2025-07-24T04:00:27.5784620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Mariehamn
2025-07-24T04:00:27.5785250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sofia
2025-07-24T04:00:27.5785890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Athens
2025-07-24T04:00:27.5786610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Stockholm
2025-07-24T04:00:27.5787220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Samara
2025-07-24T04:00:27.5787870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Brussels
2025-07-24T04:00:27.5788520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Warsaw
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2025-07-24T04:00:27.5812290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Libreville
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2025-07-24T04:00:27.5819220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Gaborone
2025-07-24T04:00:27.5819880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tunis
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2025-07-24T04:00:27.5821290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mbabane
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2025-07-24T04:00:27.5822460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maputo
2025-07-24T04:00:27.5823130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bissau
2025-07-24T04:00:27.5823930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Blantyre
2025-07-24T04:00:27.5824460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Niamey
2025-07-24T04:00:27.5825210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Banjul
2025-07-24T04:00:27.5825800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Abidjan
2025-07-24T04:00:27.5826460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmara
2025-07-24T04:00:27.5827210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bamako
2025-07-24T04:00:27.5827830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ouagadougou
2025-07-24T04:00:27.5828460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lusaka
2025-07-24T04:00:27.5829110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Luanda
2025-07-24T04:00:27.5829910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmera
2025-07-24T04:00:27.5830520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lubumbashi
2025-07-24T04:00:27.5831230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Accra
2025-07-24T04:00:27.5831820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Khartoum
2025-07-24T04:00:27.5832450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ceuta
2025-07-24T04:00:27.5833190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bujumbura
2025-07-24T04:00:27.5833970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Windhoek
2025-07-24T04:00:27.5834520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/El_Aaiun
2025-07-24T04:00:27.5835300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tripoli
2025-07-24T04:00:27.5835880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Monrovia
2025-07-24T04:00:27.5836710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dar_es_Salaam
2025-07-24T04:00:27.5837340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Johannesburg
2025-07-24T04:00:27.5837940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kigali
2025-07-24T04:00:27.5838650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Djibouti
2025-07-24T04:00:27.5839310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Freetown
2025-07-24T04:00:27.5839920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Factory
2025-07-24T04:00:27.5840550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UTC
2025-07-24T04:00:27.5841320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/EasterIsland
2025-07-24T04:00:27.5841880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/Continental
2025-07-24T04:00:27.5842430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/HST
2025-07-24T04:00:27.5843140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Atlantic
2025-07-24T04:00:27.5843820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Pacific
2025-07-24T04:00:27.5844490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Eastern
2025-07-24T04:00:27.5845220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Yukon
2025-07-24T04:00:27.5845870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Saskatchewan
2025-07-24T04:00:27.5846590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Newfoundland
2025-07-24T04:00:27.5847300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Central
2025-07-24T04:00:27.5847910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Mountain
2025-07-24T04:00:27.5848460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iceland
2025-07-24T04:00:27.5849280Z /opt/homebrew/Caskroom/miniconda/base/share/pkgconfig/nlohmann_json.pc
2025-07-24T04:00:27.5850130Z /opt/homebrew/Caskroom/miniconda/base/share/locale/en_US/LC_MESSAGES/mit-krb5.mo
2025-07-24T04:00:27.5850870Z /opt/homebrew/Caskroom/miniconda/base/share/locale/ka/LC_MESSAGES/mit-krb5.mo
2025-07-24T04:00:27.5851700Z /opt/homebrew/Caskroom/miniconda/base/share/locale/de/LC_MESSAGES/mit-krb5.mo
2025-07-24T04:00:27.5852590Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonTargets.cmake
2025-07-24T04:00:27.5853750Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfigVersion.cmake
2025-07-24T04:00:27.5854790Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfig.cmake
2025-07-24T04:00:27.5855920Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-targets.cmake
2025-07-24T04:00:27.5857200Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config-version.cmake
2025-07-24T04:00:27.5858240Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config.cmake
2025-07-24T04:00:27.5859010Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/Modules/FindLibSolv.cmake
2025-07-24T04:00:27.5859700Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt300
2025-07-24T04:00:27.5860380Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/std
2025-07-24T04:00:27.5861260Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt100
2025-07-24T04:00:27.5861850Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/stdcrt
2025-07-24T04:00:27.5862860Z /opt/homebrew/Caskroom/miniconda/base/share/info/libffi.info
2025-07-24T04:00:27.5863560Z /opt/homebrew/Caskroom/miniconda/base/share/info/readline.info
2025-07-24T04:00:27.5864260Z /opt/homebrew/Caskroom/miniconda/base/share/info/rluserman.info
2025-07-24T04:00:27.5865390Z /opt/homebrew/Caskroom/miniconda/base/share/info/history.info
2025-07-24T04:00:27.5866380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50-mono
2025-07-24T04:00:27.5867130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k
2025-07-24T04:00:27.5867990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232
2025-07-24T04:00:27.5869060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1-w
2025-07-24T04:00:27.5869960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2
2025-07-24T04:00:27.5870920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl1
2025-07-24T04:00:27.5871870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil
2025-07-24T04:00:27.5872740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv-ctxt
2025-07-24T04:00:27.5873630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40-rv
2025-07-24T04:00:27.5874430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc
2025-07-24T04:00:27.5875360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18
2025-07-24T04:00:27.5876240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-20
2025-07-24T04:00:27.5877100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-soroc
2025-07-24T04:00:27.5877830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att6386
2025-07-24T04:00:27.5878550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425
2025-07-24T04:00:27.5879470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-ctxt
2025-07-24T04:00:27.5880330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415+nl
2025-07-24T04:00:27.5881220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj830
2025-07-24T04:00:27.5881930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiw
2025-07-24T04:00:27.5882880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232w
2025-07-24T04:00:27.5883800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-16color
2025-07-24T04:00:27.5884640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-unk
2025-07-24T04:00:27.5885560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx2
2025-07-24T04:00:27.5886280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85e
2025-07-24T04:00:27.5887180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30
2025-07-24T04:00:27.5888130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-vm80
2025-07-24T04:00:27.5889070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv-nl
2025-07-24T04:00:27.5890000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+rv
2025-07-24T04:00:27.5891090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty+common
2025-07-24T04:00:27.5891730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-rv
2025-07-24T04:00:27.5892410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a210
2025-07-24T04:00:27.5893180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85
2025-07-24T04:00:27.5894040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis
2025-07-24T04:00:27.5894990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx3
2025-07-24T04:00:27.5895860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty
2025-07-24T04:00:27.5896690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415
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2025-07-24T04:00:27.5898470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mono
2025-07-24T04:00:27.5899250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+pp
2025-07-24T04:00:27.5900270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-28
2025-07-24T04:00:27.5901180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl
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2025-07-24T04:00:27.5907490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ap-vm80
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2025-07-24T04:00:27.5911010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos3
2025-07-24T04:00:27.5911960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil-mono
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2025-07-24T04:00:27.5913950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30-mono
2025-07-24T04:00:27.5914830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cpr
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2025-07-24T04:00:27.5918160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-4
2025-07-24T04:00:27.5919020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-3
2025-07-24T04:00:27.5920010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620
2025-07-24T04:00:27.5920870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st
2025-07-24T04:00:27.5921740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aa4080
2025-07-24T04:00:27.5922530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-heath
2025-07-24T04:00:27.5923490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt2
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2025-07-24T04:00:27.5924880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt5
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2025-07-24T04:00:27.5926590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos5
2025-07-24T04:00:27.5927400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aas1901
2025-07-24T04:00:27.5928210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt
2025-07-24T04:00:27.5928930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/awsc
2025-07-24T04:00:27.5929790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-unk
2025-07-24T04:00:27.5930540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos2
2025-07-24T04:00:27.5931340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e
2025-07-24T04:00:27.5932130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424m
2025-07-24T04:00:27.5932940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+csr
2025-07-24T04:00:27.5933790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-generic
2025-07-24T04:00:27.5934610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsviewpoint
2025-07-24T04:00:27.5935480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s
2025-07-24T04:00:27.5936530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo+vt132
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2025-07-24T04:00:27.5939020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24-rv
2025-07-24T04:00:27.5939870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt3
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2025-07-24T04:00:27.5941720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630
2025-07-24T04:00:27.5942490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgr
2025-07-24T04:00:27.5943440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cup
2025-07-24T04:00:27.5944250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-2
2025-07-24T04:00:27.5945100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w
2025-07-24T04:00:27.5945960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv
2025-07-24T04:00:27.5946790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-ctxt
2025-07-24T04:00:27.5947590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt+s
2025-07-24T04:00:27.5948420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175
2025-07-24T04:00:27.5949330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-5
2025-07-24T04:00:27.5950200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219
2025-07-24T04:00:27.5950860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42
2025-07-24T04:00:27.5951750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-24
2025-07-24T04:00:27.5952570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv
2025-07-24T04:00:27.5953230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1a
2025-07-24T04:00:27.5954030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615
2025-07-24T04:00:27.5954760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-emx
2025-07-24T04:00:27.5955680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrbold
2025-07-24T04:00:27.5956620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrul
2025-07-24T04:00:27.5957330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm20
2025-07-24T04:00:27.5958410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60-mono
2025-07-24T04:00:27.5959140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k
2025-07-24T04:00:27.5959970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari
2025-07-24T04:00:27.5960820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-old
2025-07-24T04:00:27.5961490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiterm
2025-07-24T04:00:27.5962330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1
2025-07-24T04:00:27.5963120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm11
2025-07-24T04:00:27.5964180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418-w
2025-07-24T04:00:27.5965350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5430
2025-07-24T04:00:27.5966230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-ns
2025-07-24T04:00:27.5967050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrso
2025-07-24T04:00:27.5967740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi
2025-07-24T04:00:27.5968580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-22
2025-07-24T04:00:27.5969440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a80
2025-07-24T04:00:27.5970330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-pc
2025-07-24T04:00:27.5971070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm21
2025-07-24T04:00:27.5971880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-w
2025-07-24T04:00:27.5972670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42-ns
2025-07-24T04:00:27.5973470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca2
2025-07-24T04:00:27.5974450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att500
2025-07-24T04:00:27.5975230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100
2025-07-24T04:00:27.5976060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm5
2025-07-24T04:00:27.5976850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-8bit
2025-07-24T04:00:27.5977790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambassador
2025-07-24T04:00:27.5978600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm2
2025-07-24T04:00:27.5979710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2350
2025-07-24T04:00:27.5980610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-2-emx
2025-07-24T04:00:27.5981330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis-mono
2025-07-24T04:00:27.5982310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-3-emx
2025-07-24T04:00:27.5983120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-24
2025-07-24T04:00:27.5983940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoheath
2025-07-24T04:00:27.5984920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis0
2025-07-24T04:00:27.5985880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansisysk
2025-07-24T04:00:27.5987140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi43m
2025-07-24T04:00:27.5987820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418-w
2025-07-24T04:00:27.5988670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420+nl
2025-07-24T04:00:27.5989560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e-p
2025-07-24T04:00:27.5990370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_color
2025-07-24T04:00:27.5991120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-41
2025-07-24T04:00:27.5991760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1
2025-07-24T04:00:27.5992350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mtabs
2025-07-24T04:00:27.5993130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-nl
2025-07-24T04:00:27.5993610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3
2025-07-24T04:00:27.5994240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atarist-m
2025-07-24T04:00:27.5994920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k-w
2025-07-24T04:00:27.5995570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv
2025-07-24T04:00:27.5996310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrdim
2025-07-24T04:00:27.5996940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm-vb
2025-07-24T04:00:27.5997510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex80
2025-07-24T04:00:27.5998160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-24
2025-07-24T04:00:27.5998770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-w
2025-07-24T04:00:27.5999410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219
2025-07-24T04:00:27.6000020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addrinfo
2025-07-24T04:00:27.6000860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60
2025-07-24T04:00:27.6001320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25
2025-07-24T04:00:27.6001960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+dec
2025-07-24T04:00:27.6002540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex210
2025-07-24T04:00:27.6003180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219w
2025-07-24T04:00:27.6003780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-am
2025-07-24T04:00:27.6004410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-ns
2025-07-24T04:00:27.6005120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv-n
2025-07-24T04:00:27.6006610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-ae
2025-07-24T04:00:27.6006930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k-w
2025-07-24T04:00:27.6007130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+erase
2025-07-24T04:00:27.6007780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510a
2025-07-24T04:00:27.6008370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4426
2025-07-24T04:00:27.6009060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630-24
2025-07-24T04:00:27.6009620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoh19
2025-07-24T04:00:27.6010160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa
2025-07-24T04:00:27.6010820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24
2025-07-24T04:00:27.6011480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm
2025-07-24T04:00:27.6012140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rep
2025-07-24T04:00:27.6012800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv
2025-07-24T04:00:27.6013350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-h19
2025-07-24T04:00:27.6014170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv-ctxt
2025-07-24T04:00:27.6014760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st-color
2025-07-24T04:00:27.6015470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis
2025-07-24T04:00:27.6015980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm80
2025-07-24T04:00:27.6016730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50
2025-07-24T04:00:27.6017270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-w
2025-07-24T04:00:27.6018110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410
2025-07-24T04:00:27.6018570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m-old
2025-07-24T04:00:27.6019320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-nl
2025-07-24T04:00:27.6019810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7pc
2025-07-24T04:00:27.6020540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48
2025-07-24T04:00:27.6021130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc1
2025-07-24T04:00:27.6021760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+tabs
2025-07-24T04:00:27.6022500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleII
2025-07-24T04:00:27.6023290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty-direct
2025-07-24T04:00:27.6023680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj832
2025-07-24T04:00:27.6024410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local1
2025-07-24T04:00:27.6024970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h-old
2025-07-24T04:00:27.6025630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm+sl
2025-07-24T04:00:27.6026290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219w
2025-07-24T04:00:27.6026910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-m
2025-07-24T04:00:27.6027510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0+
2025-07-24T04:00:27.6028450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60
2025-07-24T04:00:27.6029190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424-1
2025-07-24T04:00:27.6030010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca
2025-07-24T04:00:27.6030420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4420
2025-07-24T04:00:27.6031010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418
2025-07-24T04:00:27.6031650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-22
2025-07-24T04:00:27.6032190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aepro
2025-07-24T04:00:27.6032850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-nl
2025-07-24T04:00:27.6033510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1-w
2025-07-24T04:00:27.6034140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-34
2025-07-24T04:00:27.6034850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv-n
2025-07-24T04:00:27.6035600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48-rv
2025-07-24T04:00:27.6036200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo
2025-07-24T04:00:27.6036830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mini
2025-07-24T04:00:27.6037430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40
2025-07-24T04:00:27.6038100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+enq
2025-07-24T04:00:27.6038660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h
2025-07-24T04:00:27.6039380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/annarbor4080
2025-07-24T04:00:27.6040020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-nt
2025-07-24T04:00:27.6040680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv
2025-07-24T04:00:27.6041330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv
2025-07-24T04:00:27.6041960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420
2025-07-24T04:00:27.6042570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi77
2025-07-24T04:00:27.6043200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mr
2025-07-24T04:00:27.6043850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418
2025-07-24T04:00:27.6044420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a
2025-07-24T04:00:27.6045160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43-mono
2025-07-24T04:00:27.6045740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-1
2025-07-24T04:00:27.6046420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-color
2025-07-24T04:00:27.6047310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-ctxt
2025-07-24T04:00:27.6047680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys
2025-07-24T04:00:27.6048280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-s
2025-07-24T04:00:27.6048910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7
2025-07-24T04:00:27.6049510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18-rv
2025-07-24T04:00:27.6050090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31
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2025-07-24T04:00:27.6051400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-s
2025-07-24T04:00:27.6052090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm36
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2025-07-24T04:00:27.6053840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_15P
2025-07-24T04:00:27.6054430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7
2025-07-24T04:00:27.6055030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-s
2025-07-24T04:00:27.6055690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-41
2025-07-24T04:00:27.6056340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2-w
2025-07-24T04:00:27.6056950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-w
2025-07-24T04:00:27.6057550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605
2025-07-24T04:00:27.6058290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-dec-rv
2025-07-24T04:00:27.6058840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410
2025-07-24T04:00:27.6059480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7pc
2025-07-24T04:00:27.6060100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1178
2025-07-24T04:00:27.6060700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/absolute
2025-07-24T04:00:27.6061340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219
2025-07-24T04:00:27.6061890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at
2025-07-24T04:00:27.6062510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm+sgr
2025-07-24T04:00:27.6063150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-w
2025-07-24T04:00:27.6063720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s
2025-07-24T04:00:27.6064330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj510
2025-07-24T04:00:27.6065000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-24
2025-07-24T04:00:27.6065610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-232
2025-07-24T04:00:27.6066170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aws
2025-07-24T04:00:27.6066790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att7300
2025-07-24T04:00:27.6067400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a+
2025-07-24T04:00:27.6068000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0
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2025-07-24T04:00:27.6069850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r
2025-07-24T04:00:27.6070530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys-old
2025-07-24T04:00:27.6071150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a980
2025-07-24T04:00:27.6071760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620
2025-07-24T04:00:27.6072470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx
2025-07-24T04:00:27.6073030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sysk
2025-07-24T04:00:27.6073650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219w
2025-07-24T04:00:27.6074290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175-b
2025-07-24T04:00:27.6074980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-mono
2025-07-24T04:00:27.6075620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31-old
2025-07-24T04:00:27.6076220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar1
2025-07-24T04:00:27.6076900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-80
2025-07-24T04:00:27.6077570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-db
2025-07-24T04:00:27.6078320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-vnc
2025-07-24T04:00:27.6078900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv-nl
2025-07-24T04:00:27.6079580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm22
2025-07-24T04:00:27.6080100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610
2025-07-24T04:00:27.6080700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds980
2025-07-24T04:00:27.6081310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple80p
2025-07-24T04:00:27.6081960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410-w
2025-07-24T04:00:27.6082640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+inittabs
2025-07-24T04:00:27.6083270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local
2025-07-24T04:00:27.6083900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-nl
2025-07-24T04:00:27.6084490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aterm
2025-07-24T04:00:27.6085170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-m
2025-07-24T04:00:27.6086110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-w
2025-07-24T04:00:27.6086450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-w
2025-07-24T04:00:27.6087470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-ctxt
2025-07-24T04:00:27.6087800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2300
2025-07-24T04:00:27.6088490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-ns
2025-07-24T04:00:27.6089350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5310
2025-07-24T04:00:27.6090120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410-w
2025-07-24T04:00:27.6091020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36-rv
2025-07-24T04:00:27.6091730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act4
2025-07-24T04:00:27.6092510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-s
2025-07-24T04:00:27.6093350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m
2025-07-24T04:00:27.6094120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1
2025-07-24T04:00:27.6094990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-h
2025-07-24T04:00:27.6095830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k
2025-07-24T04:00:27.6096650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambas
2025-07-24T04:00:27.6097450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at386
2025-07-24T04:00:27.6098370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIe
2025-07-24T04:00:27.6099340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att700
2025-07-24T04:00:27.6100190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36
2025-07-24T04:00:27.6100940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv
2025-07-24T04:00:27.6101790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-wam
2025-07-24T04:00:27.6102520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act5
2025-07-24T04:00:27.6103520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIgs
2025-07-24T04:00:27.6104330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsvp60
2025-07-24T04:00:27.6105020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-s
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2025-07-24T04:00:27.6106620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-ctxt
2025-07-24T04:00:27.6107330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+unk
2025-07-24T04:00:27.6108140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-m
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2025-07-24T04:00:27.6109880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv-ct
2025-07-24T04:00:27.6110720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIc
2025-07-24T04:00:27.6111470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30
2025-07-24T04:00:27.6112290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-color
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2025-07-24T04:00:27.6113900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43
2025-07-24T04:00:27.6114740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-nl
2025-07-24T04:00:27.6115460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505
2025-07-24T04:00:27.6116340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+arrows
2025-07-24T04:00:27.6117050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm
2025-07-24T04:00:27.6117770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi-w
2025-07-24T04:00:27.6118570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi
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2025-07-24T04:00:27.6120130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenixw
2025-07-24T04:00:27.6120980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco-p
2025-07-24T04:00:27.6121660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fox
2025-07-24T04:00:27.6122470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot
2025-07-24T04:00:27.6123310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom
2025-07-24T04:00:27.6124170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100
2025-07-24T04:00:27.6124880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fbterm
2025-07-24T04:00:27.6125640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom110
2025-07-24T04:00:27.6126420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14w
2025-07-24T04:00:27.6127170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-w
2025-07-24T04:00:27.6127960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720
2025-07-24T04:00:27.6128780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot+base
2025-07-24T04:00:27.6129560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fixterm
2025-07-24T04:00:27.6130560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom100
2025-07-24T04:00:27.6131340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200-w
2025-07-24T04:00:27.6132130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fos
2025-07-24T04:00:27.6132910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot-direct
2025-07-24T04:00:27.6133820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110
2025-07-24T04:00:27.6134480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenix
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2025-07-24T04:00:27.6136250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14
2025-07-24T04:00:27.6137430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom-rv
2025-07-24T04:00:27.6138040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100-rv
2025-07-24T04:00:27.6139140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom200
2025-07-24T04:00:27.6139860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720a
2025-07-24T04:00:27.6140620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fortune
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2025-07-24T04:00:27.6142780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M
2025-07-24T04:00:27.6143620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P5
2025-07-24T04:00:27.6144320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8-W
2025-07-24T04:00:27.6144940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8
2025-07-24T04:00:27.6145760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8-W
2025-07-24T04:00:27.6146520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M
2025-07-24T04:00:27.6147420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P7
2025-07-24T04:00:27.6148250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9
2025-07-24T04:00:27.6148880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8
2025-07-24T04:00:27.6149700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M-W
2025-07-24T04:00:27.6150540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-W
2025-07-24T04:00:27.6151370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-W
2025-07-24T04:00:27.6151970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14
2025-07-24T04:00:27.6152800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M-W
2025-07-24T04:00:27.6153560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12
2025-07-24T04:00:27.6154320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp236
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2025-07-24T04:00:27.6156150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100
2025-07-24T04:00:27.6156940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nt
2025-07-24T04:00:27.6157870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx-p
2025-07-24T04:00:27.6158590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100
2025-07-24T04:00:27.6159360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19a
2025-07-24T04:00:27.6160560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624-10p
2025-07-24T04:00:27.6160940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19
2025-07-24T04:00:27.6161730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100
2025-07-24T04:00:27.6162550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621a-a
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2025-07-24T04:00:27.6164200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-smul
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2025-07-24T04:00:27.6165670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626p
2025-07-24T04:00:27.6166560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623a
2025-07-24T04:00:27.6167460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color
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2025-07-24T04:00:27.6169380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-19
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2025-07-24T04:00:27.6170580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19g
2025-07-24T04:00:27.6171220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-u
2025-07-24T04:00:27.6171820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12
2025-07-24T04:00:27.6172370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp
2025-07-24T04:00:27.6173030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-g
2025-07-24T04:00:27.6173620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-x40
2025-07-24T04:00:27.6174310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color2
2025-07-24T04:00:27.6175290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit
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2025-07-24T04:00:27.6176490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-a
2025-07-24T04:00:27.6177290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx
2025-07-24T04:00:27.6177770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-bs
2025-07-24T04:00:27.6178430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092A
2025-07-24T04:00:27.6179030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-wl
2025-07-24T04:00:27.6179670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk-cr
2025-07-24T04:00:27.6180330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz2000
2025-07-24T04:00:27.6180990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a-color
2025-07-24T04:00:27.6181630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p
2025-07-24T04:00:27.6182230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550
2025-07-24T04:00:27.6182810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpsub
2025-07-24T04:00:27.6183610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+arrows
2025-07-24T04:00:27.6184230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+arrows
2025-07-24T04:00:27.6184960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621k45
2025-07-24T04:00:27.6185490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit-a
2025-07-24T04:00:27.6186180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550-color
2025-07-24T04:00:27.6186740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hds200
2025-07-24T04:00:27.6187370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1420
2025-07-24T04:00:27.6187960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2392
2025-07-24T04:00:27.6188620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100-w
2025-07-24T04:00:27.6189200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648
2025-07-24T04:00:27.6189790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c
2025-07-24T04:00:27.6190400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552
2025-07-24T04:00:27.6191040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2
2025-07-24T04:00:27.6192050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-bc
2025-07-24T04:00:27.6192490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+color
2025-07-24T04:00:27.6193160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-fl
2025-07-24T04:00:27.6193770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2641a
2025-07-24T04:00:27.6194350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/htx11
2025-07-24T04:00:27.6194980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a
2025-07-24T04:00:27.6195580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp262x
2025-07-24T04:00:27.6196190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624
2025-07-24T04:00:27.6196830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623
2025-07-24T04:00:27.6197710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p-a
2025-07-24T04:00:27.6198180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-k45
2025-07-24T04:00:27.6198760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b
2025-07-24T04:00:27.6199350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hazel
2025-07-24T04:00:27.6199950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648a
2025-07-24T04:00:27.6200580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a
2025-07-24T04:00:27.6201240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622
2025-07-24T04:00:27.6201810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9837
2025-07-24T04:00:27.6202550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p-p
2025-07-24T04:00:27.6203070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p
2025-07-24T04:00:27.6203710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpgeneric
2025-07-24T04:00:27.6204330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a
2025-07-24T04:00:27.6204970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1500
2025-07-24T04:00:27.6205650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19kermit
2025-07-24T04:00:27.6206280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-us
2025-07-24T04:00:27.6206850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-old
2025-07-24T04:00:27.6207480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700-wy
2025-07-24T04:00:27.6208110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9845
2025-07-24T04:00:27.6208760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nl
2025-07-24T04:00:27.6209780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex
2025-07-24T04:00:27.6209940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19k
2025-07-24T04:00:27.6210730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm-256color
2025-07-24T04:00:27.6211400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-uc
2025-07-24T04:00:27.6212010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+printer
2025-07-24T04:00:27.6212750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397a
2025-07-24T04:00:27.6213500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p
2025-07-24T04:00:27.6214780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1510
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2025-07-24T04:00:27.6234890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/he80
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2025-07-24T04:00:27.6241440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700
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2025-07-24T04:00:27.6250810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552-rv
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2025-07-24T04:00:27.6255830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hmod1
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2025-07-24T04:00:27.6354890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2
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2025-07-24T04:00:27.6356460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertec
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2025-07-24T04:00:27.6358020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r
2025-07-24T04:00:27.6358770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga
2025-07-24T04:00:27.6359590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6155
2025-07-24T04:00:27.6360510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-b
2025-07-24T04:00:27.6361390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix-nti
2025-07-24T04:00:27.6362170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmono
2025-07-24T04:00:27.6362990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8
2025-07-24T04:00:27.6363940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm.app
2025-07-24T04:00:27.6364710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404
2025-07-24T04:00:27.6365600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404-w
2025-07-24T04:00:27.6366500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2-direct
2025-07-24T04:00:27.6367260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3101
2025-07-24T04:00:27.6368020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext
2025-07-24T04:00:27.6368530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix
2025-07-24T04:00:27.6369120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3
2025-07-24T04:00:27.6369750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5151
2025-07-24T04:00:27.6370370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpcx
2025-07-24T04:00:27.6370990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+color
2025-07-24T04:00:27.6371620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3164
2025-07-24T04:00:27.6372200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6402
2025-07-24T04:00:27.6372820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ifmr
2025-07-24T04:00:27.6373380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i400
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2025-07-24T04:00:27.6374640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950
2025-07-24T04:00:27.6375340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-ap
2025-07-24T04:00:27.6375950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa16
2025-07-24T04:00:27.6376600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-apl
2025-07-24T04:00:27.6377290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intextii
2025-07-24T04:00:27.6377910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514-c
2025-07-24T04:00:27.6378560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154-c
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2025-07-24T04:00:27.6381470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H-am
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2025-07-24T04:00:27.6383790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm
2025-07-24T04:00:27.6384510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm-color2
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2025-07-24T04:00:27.6387710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator
2025-07-24T04:00:27.6388340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome+pcfkeys
2025-07-24T04:00:27.6388890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140
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2025-07-24T04:00:27.6390160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-lp
2025-07-24T04:00:27.6390820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w-s
2025-07-24T04:00:27.6391360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gsi
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2025-07-24T04:00:27.6392740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52
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2025-07-24T04:00:27.6394060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh72
2025-07-24T04:00:27.6394650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-24
2025-07-24T04:00:27.6395310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh80
2025-07-24T04:00:27.6395880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+s
2025-07-24T04:00:27.6396530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-fc5
2025-07-24T04:00:27.6397150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-22
2025-07-24T04:00:27.6397730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt40
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2025-07-24T04:00:27.6399040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-rv
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2025-07-24T04:00:27.6400270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2007
2025-07-24T04:00:27.6400820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gigi
2025-07-24T04:00:27.6401460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33
2025-07-24T04:00:27.6402100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2008
2025-07-24T04:00:27.6402690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-t
2025-07-24T04:00:27.6403300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos
2025-07-24T04:00:27.6403930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76
2025-07-24T04:00:27.6404790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/glasstty
2025-07-24T04:00:27.6405410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-256color
2025-07-24T04:00:27.6406080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430
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2025-07-24T04:00:27.6409780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-nctxt
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2025-07-24T04:00:27.6411140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go-225
2025-07-24T04:00:27.6411700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100a
2025-07-24T04:00:27.6412400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100
2025-07-24T04:00:27.6412980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt42
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2025-07-24T04:00:27.6415400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos-30
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2025-07-24T04:00:27.6416650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52t
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2025-07-24T04:00:27.6418490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4027ex
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2025-07-24T04:00:27.6419840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/386at
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2025-07-24T04:00:27.6421150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCR260VT300WPP
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2025-07-24T04:00:27.6427370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee-xsb
2025-07-24T04:00:27.6427780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek380
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2025-07-24T04:00:27.6440360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee
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2025-07-24T04:00:27.6442240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cgsix
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2025-07-24T04:00:27.6444800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-m
2025-07-24T04:00:27.6445380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.6
2025-07-24T04:00:27.6446060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.rxvt
2025-07-24T04:00:27.6446660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-type4
2025-07-24T04:00:27.6447230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.8
2025-07-24T04:00:27.6447810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb2
2025-07-24T04:00:27.6448520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1b
2025-07-24T04:00:27.6449160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbeeic
2025-07-24T04:00:27.6449750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e-s
2025-07-24T04:00:27.6450380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cmd
2025-07-24T04:00:27.6451370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc
2025-07-24T04:00:27.6451860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.gnome
2025-07-24T04:00:27.6452490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-r6
2025-07-24T04:00:27.6453210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-s
2025-07-24T04:00:27.6453740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-c
2025-07-24T04:00:27.6454400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte
2025-07-24T04:00:27.6454970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sune
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2025-07-24T04:00:27.6456400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-base
2025-07-24T04:00:27.6457200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.gnome
2025-07-24T04:00:27.6457900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m2
2025-07-24T04:00:27.6458450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun2
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2025-07-24T04:00:27.6459880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-xfree86
2025-07-24T04:00:27.6460440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm
2025-07-24T04:00:27.6461050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-ss5
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2025-07-24T04:00:27.6462260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-nic
2025-07-24T04:00:27.6463060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm-256color
2025-07-24T04:00:27.6463730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.rxvt
2025-07-24T04:00:27.6464310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-34
2025-07-24T04:00:27.6465060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel2-80
2025-07-24T04:00:27.6465660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-direct
2025-07-24T04:00:27.6466260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simterm
2025-07-24T04:00:27.6467030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b
2025-07-24T04:00:27.6467700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc415
2025-07-24T04:00:27.6468320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sibo
2025-07-24T04:00:27.6469110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-old
2025-07-24T04:00:27.6469760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52
2025-07-24T04:00:27.6470520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-s
2025-07-24T04:00:27.6471240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.xterm-new
2025-07-24T04:00:27.6471740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st
2025-07-24T04:00:27.6472440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-color
2025-07-24T04:00:27.6473160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbobcat
2025-07-24T04:00:27.6473840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux
2025-07-24T04:00:27.6474450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-12
2025-07-24T04:00:27.6475540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce-s
2025-07-24T04:00:27.6476230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+italics
2025-07-24T04:00:27.6476790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-24
2025-07-24T04:00:27.6477700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m2
2025-07-24T04:00:27.6478410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.linux
2025-07-24T04:00:27.6479030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screwpoint
2025-07-24T04:00:27.6479630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc120
2025-07-24T04:00:27.6480230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-48
2025-07-24T04:00:27.6480880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simpleterm
2025-07-24T04:00:27.6481500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek
2025-07-24T04:00:27.6482160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrt
2025-07-24T04:00:27.6482830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen
2025-07-24T04:00:27.6483490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-il
2025-07-24T04:00:27.6484070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce
2025-07-24T04:00:27.6484970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbi
2025-07-24T04:00:27.6485370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb1
2025-07-24T04:00:27.6486130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-256color
2025-07-24T04:00:27.6486670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52
2025-07-24T04:00:27.6487250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrhp
2025-07-24T04:00:27.6487980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-16color
2025-07-24T04:00:27.6488610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-new
2025-07-24T04:00:27.6489250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbrain
2025-07-24T04:00:27.6489970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-s
2025-07-24T04:00:27.6490550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sv80
2025-07-24T04:00:27.6491240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm
2025-07-24T04:00:27.6492350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte-256color
2025-07-24T04:00:27.6492830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-256color
2025-07-24T04:00:27.6493720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.mrxvt
2025-07-24T04:00:27.6494140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-old
2025-07-24T04:00:27.6494840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.Eterm
2025-07-24T04:00:27.6495450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/spinwriter
2025-07-24T04:00:27.6496060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-s
2025-07-24T04:00:27.6496620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun1
2025-07-24T04:00:27.6497390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.teraterm
2025-07-24T04:00:27.6498040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.Eterm
2025-07-24T04:00:27.6498690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mrxvt
2025-07-24T04:00:27.6499410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce
2025-07-24T04:00:27.6499990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s
2025-07-24T04:00:27.6500710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52pc
2025-07-24T04:00:27.6501400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-80
2025-07-24T04:00:27.6502000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/system1
2025-07-24T04:00:27.6502730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1
2025-07-24T04:00:27.6503330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-1
2025-07-24T04:00:27.6503960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-color
2025-07-24T04:00:27.6504670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-new
2025-07-24T04:00:27.6505390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color
2025-07-24T04:00:27.6506050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+fkeys
2025-07-24T04:00:27.6506790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.konsole
2025-07-24T04:00:27.6507420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun+sl
2025-07-24T04:00:27.6508040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc410
2025-07-24T04:00:27.6508640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s-e
2025-07-24T04:00:27.6509510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1
2025-07-24T04:00:27.6510400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/securecrt
2025-07-24T04:00:27.6511130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424
2025-07-24T04:00:27.6511970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52
2025-07-24T04:00:27.6512890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-vb
2025-07-24T04:00:27.6513990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-s
2025-07-24T04:00:27.6514680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-2p
2025-07-24T04:00:27.6515460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-rv
2025-07-24T04:00:27.6516450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-15
2025-07-24T04:00:27.6517250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-1
2025-07-24T04:00:27.6517980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek
2025-07-24T04:00:27.6518890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926-8
2025-07-24T04:00:27.6519520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc
2025-07-24T04:00:27.6520360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb
2025-07-24T04:00:27.6521250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925-hi
2025-07-24T04:00:27.6521850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty33
2025-07-24T04:00:27.6522640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027-ex
2025-07-24T04:00:27.6523590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107
2025-07-24T04:00:27.6524210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928-8
2025-07-24T04:00:27.6525100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv
2025-07-24T04:00:27.6525970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-p
2025-07-24T04:00:27.6526800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-unk
2025-07-24T04:00:27.6527610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ttydmd
2025-07-24T04:00:27.6528480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-2p
2025-07-24T04:00:27.6529280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109
2025-07-24T04:00:27.6530100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty35
2025-07-24T04:00:27.6530970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-2p
2025-07-24T04:00:27.6531830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8-132
2025-07-24T04:00:27.6532670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-unk
2025-07-24T04:00:27.6533380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti931
2025-07-24T04:00:27.6534030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-vb
2025-07-24T04:00:27.6534660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425
2025-07-24T04:00:27.6535240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1p
2025-07-24T04:00:27.6535840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920
2025-07-24T04:00:27.6536510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-34
2025-07-24T04:00:27.6537110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi9065
2025-07-24T04:00:27.6537800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-2p
2025-07-24T04:00:27.6538440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-p
2025-07-24T04:00:27.6539140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+printer
2025-07-24T04:00:27.6539800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-2p
2025-07-24T04:00:27.6540350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t16
2025-07-24T04:00:27.6541010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c
2025-07-24T04:00:27.6541980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-vb
2025-07-24T04:00:27.6542330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tgtelnet
2025-07-24T04:00:27.6542980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk
2025-07-24T04:00:27.6543570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027
2025-07-24T04:00:27.6544240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology
2025-07-24T04:00:27.6544830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620
2025-07-24T04:00:27.6545530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-vb
2025-07-24T04:00:27.6546180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b+fn
2025-07-24T04:00:27.6546850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103-sna
2025-07-24T04:00:27.6547480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105-30
2025-07-24T04:00:27.6548140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2102-sna
2025-07-24T04:00:27.6548820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17-ws
2025-07-24T04:00:27.6549440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b
2025-07-24T04:00:27.6550110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc
2025-07-24T04:00:27.6550730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910
2025-07-24T04:00:27.6551420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb
2025-07-24T04:00:27.6552020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424-1
2025-07-24T04:00:27.6552620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t10
2025-07-24T04:00:27.6553270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk
2025-07-24T04:00:27.6553850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707
2025-07-24T04:00:27.6554470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi921
2025-07-24T04:00:27.6555060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti700
2025-07-24T04:00:27.6555670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4404
2025-07-24T04:00:27.6556330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p
2025-07-24T04:00:27.6556980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-2p
2025-07-24T04:00:27.6557560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken
2025-07-24T04:00:27.6558180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt52
2025-07-24T04:00:27.6558780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025a
2025-07-24T04:00:27.6559460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-p
2025-07-24T04:00:27.6560130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-2p
2025-07-24T04:00:27.6560780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1-w
2025-07-24T04:00:27.6561340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs2
2025-07-24T04:00:27.6562040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-2p
2025-07-24T04:00:27.6562660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950
2025-07-24T04:00:27.6563260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924
2025-07-24T04:00:27.6563860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-m
2025-07-24T04:00:27.6564530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-132
2025-07-24T04:00:27.6565150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-nl
2025-07-24T04:00:27.6565790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-w
2025-07-24T04:00:27.6566420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv
2025-07-24T04:00:27.6567110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-vb
2025-07-24T04:00:27.6567770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-vb
2025-07-24T04:00:27.6568400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-2p
2025-07-24T04:00:27.6569050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207
2025-07-24T04:00:27.6569690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.59
2025-07-24T04:00:27.6570380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912cc
2025-07-24T04:00:27.6571020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-unk
2025-07-24T04:00:27.6571570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3800
2025-07-24T04:00:27.6572260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-vb
2025-07-24T04:00:27.6572980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.0.0
2025-07-24T04:00:27.6573550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw100
2025-07-24T04:00:27.6574220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+dim
2025-07-24T04:00:27.6574870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet300
2025-07-24T04:00:27.6575540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2018
2025-07-24T04:00:27.6576180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703-w
2025-07-24T04:00:27.6576730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty43
2025-07-24T04:00:27.6577360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113
2025-07-24T04:00:27.6578080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-16color
2025-07-24T04:00:27.6578760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminator
2025-07-24T04:00:27.6579340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4114
2025-07-24T04:00:27.6579950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti_ansi
2025-07-24T04:00:27.6580620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-ctxt
2025-07-24T04:00:27.6581270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-nl
2025-07-24T04:00:27.6581910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teletec
2025-07-24T04:00:27.6582520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1p
2025-07-24T04:00:27.6583210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-unk
2025-07-24T04:00:27.6583890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-vb
2025-07-24T04:00:27.6584490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4125
2025-07-24T04:00:27.6585200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-4p
2025-07-24T04:00:27.6585820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100
2025-07-24T04:00:27.6586450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p
2025-07-24T04:00:27.6587110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410-w
2025-07-24T04:00:27.6587770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-p
2025-07-24T04:00:27.6588460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab
2025-07-24T04:00:27.6588990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707-w
2025-07-24T04:00:27.6589640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p
2025-07-24T04:00:27.6590280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-w
2025-07-24T04:00:27.6591000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-2p
2025-07-24T04:00:27.6591640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-34
2025-07-24T04:00:27.6592280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p
2025-07-24T04:00:27.6592870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4115
2025-07-24T04:00:27.6593580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-vb
2025-07-24T04:00:27.6594170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112
2025-07-24T04:00:27.6594890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet1200
2025-07-24T04:00:27.6595480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3700
2025-07-24T04:00:27.6596180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc+fkeys
2025-07-24T04:00:27.6596770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061f
2025-07-24T04:00:27.6597370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty37
2025-07-24T04:00:27.6597990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c
2025-07-24T04:00:27.6598580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061
2025-07-24T04:00:27.6599220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi803
2025-07-24T04:00:27.6599820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn1200
2025-07-24T04:00:27.6600440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8
2025-07-24T04:00:27.6601140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-unk
2025-07-24T04:00:27.6601820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt+fkeys
2025-07-24T04:00:27.6602430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-sp
2025-07-24T04:00:27.6603060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4420
2025-07-24T04:00:27.6603750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-mc
2025-07-24T04:00:27.6604360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424m
2025-07-24T04:00:27.6604980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105
2025-07-24T04:00:27.6605630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015-sm
2025-07-24T04:00:27.6606350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-mc
2025-07-24T04:00:27.6606930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet
2025-07-24T04:00:27.6607540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b
2025-07-24T04:00:27.6608190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w
2025-07-24T04:00:27.6608880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w-rv
2025-07-24T04:00:27.6609540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teleray
2025-07-24T04:00:27.6615410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trsII
2025-07-24T04:00:27.6615920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+vb
2025-07-24T04:00:27.6616070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-2p
2025-07-24T04:00:27.6616210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-p
2025-07-24T04:00:27.6616400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109brl
2025-07-24T04:00:27.6616540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4426
2025-07-24T04:00:27.6616680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p
2025-07-24T04:00:27.6616830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-2p
2025-07-24T04:00:27.6616970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv
2025-07-24T04:00:27.6617100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-5
2025-07-24T04:00:27.6617240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-256color
2025-07-24T04:00:27.6617750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi924
2025-07-24T04:00:27.6618440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv-nl
2025-07-24T04:00:27.6619070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8w
2025-07-24T04:00:27.6619760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-p
2025-07-24T04:00:27.6620390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w
2025-07-24T04:00:27.6620970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1
2025-07-24T04:00:27.6621700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-2p
2025-07-24T04:00:27.6622390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws-generic
2025-07-24T04:00:27.6623050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem6510
2025-07-24T04:00:27.6625370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm-256color
2025-07-24T04:00:27.6625900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-mc
2025-07-24T04:00:27.6626360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912
2025-07-24T04:00:27.6626800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm
2025-07-24T04:00:27.6627260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti733
2025-07-24T04:00:27.6627700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025
2025-07-24T04:00:27.6628220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+mc
2025-07-24T04:00:27.6628560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410
2025-07-24T04:00:27.6628880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92D
2025-07-24T04:00:27.6629540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-vb
2025-07-24T04:00:27.6630130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014
2025-07-24T04:00:27.6630770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt
2025-07-24T04:00:27.6631750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p
2025-07-24T04:00:27.6632230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4013
2025-07-24T04:00:27.6633020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970
2025-07-24T04:00:27.6633820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk
2025-07-24T04:00:27.6634500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi914
2025-07-24T04:00:27.6635360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti735
2025-07-24T04:00:27.6636010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux
2025-07-24T04:00:27.6636680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703
2025-07-24T04:00:27.6637380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925
2025-07-24T04:00:27.6638060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t653x
2025-07-24T04:00:27.6638840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-color
2025-07-24T04:00:27.6639580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs16
2025-07-24T04:00:27.6640270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4012
2025-07-24T04:00:27.6641090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420
2025-07-24T04:00:27.6641770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs80II
2025-07-24T04:00:27.6642530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015
2025-07-24T04:00:27.6643320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc
2025-07-24T04:00:27.6643960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p
2025-07-24T04:00:27.6644750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-unk
2025-07-24T04:00:27.6645470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132
2025-07-24T04:00:27.6646220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4023
2025-07-24T04:00:27.6646990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p
2025-07-24T04:00:27.6647720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem653
2025-07-24T04:00:27.6648510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4024
2025-07-24T04:00:27.6649330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-mc
2025-07-24T04:00:27.6650130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-hb
2025-07-24T04:00:27.6650860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92B
2025-07-24T04:00:27.6651640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk
2025-07-24T04:00:27.6652470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014-sm
2025-07-24T04:00:27.6653270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-nl
2025-07-24T04:00:27.6654020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916
2025-07-24T04:00:27.6654790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4205
2025-07-24T04:00:27.6655510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-p
2025-07-24T04:00:27.6656390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.97
2025-07-24T04:00:27.6657120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-cr
2025-07-24T04:00:27.6657830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-nd
2025-07-24T04:00:27.6658600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-mc
2025-07-24T04:00:27.6659380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-unk
2025-07-24T04:00:27.6660150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-direct
2025-07-24T04:00:27.6660920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-7
2025-07-24T04:00:27.6661680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107brl
2025-07-24T04:00:27.6662390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1
2025-07-24T04:00:27.6663180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926
2025-07-24T04:00:27.6663970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-2p
2025-07-24T04:00:27.6664650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924w
2025-07-24T04:00:27.6665290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn300
2025-07-24T04:00:27.6666000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955
2025-07-24T04:00:27.6666740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-4p
2025-07-24T04:00:27.6667560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928
2025-07-24T04:00:27.6668520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc
2025-07-24T04:00:27.6669270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb
2025-07-24T04:00:27.6669990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti745
2025-07-24T04:00:27.6670650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103
2025-07-24T04:00:27.6671560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-8
2025-07-24T04:00:27.6672310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-24
2025-07-24T04:00:27.6673100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1
2025-07-24T04:00:27.6673840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420+nl
2025-07-24T04:00:27.6674640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025ex
2025-07-24T04:00:27.6675470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-ex
2025-07-24T04:00:27.6676450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-mc
2025-07-24T04:00:27.6677190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-vb
2025-07-24T04:00:27.6677880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti800
2025-07-24T04:00:27.6678690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-vb
2025-07-24T04:00:27.6679460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv-n
2025-07-24T04:00:27.6680370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+2p
2025-07-24T04:00:27.6681070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty40
2025-07-24T04:00:27.6681950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-vb
2025-07-24T04:00:27.6682820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-2p
2025-07-24T04:00:27.6683490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc
2025-07-24T04:00:27.6684280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb
2025-07-24T04:00:27.6684900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt
2025-07-24T04:00:27.6685690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207-s
2025-07-24T04:00:27.6686570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-mc
2025-07-24T04:00:27.6687300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8
2025-07-24T04:00:27.6688120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm2.3
2025-07-24T04:00:27.6689020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-0.6.1
2025-07-24T04:00:27.6689770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910+
2025-07-24T04:00:27.6690690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvipt
2025-07-24T04:00:27.6691450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-mc
2025-07-24T04:00:27.6692230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/termite
2025-07-24T04:00:27.6693280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-unk
2025-07-24T04:00:27.6693830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105a
2025-07-24T04:00:27.6694790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-nd
2025-07-24T04:00:27.6695560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2022
2025-07-24T04:00:27.6696330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17
2025-07-24T04:00:27.6697060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-p
2025-07-24T04:00:27.6697770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4106brl
2025-07-24T04:00:27.6698860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.8.1
2025-07-24T04:00:27.6699490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tkterm
2025-07-24T04:00:27.6700220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4c/LFT-PC850
2025-07-24T04:00:27.6700930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb162
2025-07-24T04:00:27.6701690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb
2025-07-24T04:00:27.6702410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb204
2025-07-24T04:00:27.6703080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm
2025-07-24T04:00:27.6703870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultima2
2025-07-24T04:00:27.6704760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm49
2025-07-24T04:00:27.6705410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uts30
2025-07-24T04:00:27.6706060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultimaII
2025-07-24T04:00:27.6706670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unixpc
2025-07-24T04:00:27.6707260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unknown
2025-07-24T04:00:27.6707870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uwin
2025-07-24T04:00:27.6708510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rebus3180
2025-07-24T04:00:27.6709180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-w
2025-07-24T04:00:27.6709770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-xpm
2025-07-24T04:00:27.6710360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rtpc
2025-07-24T04:00:27.6711020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-16color
2025-07-24T04:00:27.6711810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin-native
2025-07-24T04:00:27.6712400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent200
2025-07-24T04:00:27.6713020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221
2025-07-24T04:00:27.6713660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-nam
2025-07-24T04:00:27.6714280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm
2025-07-24T04:00:27.6714960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-88color
2025-07-24T04:00:27.6715540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons
2025-07-24T04:00:27.6716220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin
2025-07-24T04:00:27.6716830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40
2025-07-24T04:00:27.6717500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent100
2025-07-24T04:00:27.6718110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent25
2025-07-24T04:00:27.6718700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt
2025-07-24T04:00:27.6719340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent60
2025-07-24T04:00:27.6719930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rca
2025-07-24T04:00:27.6720620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-color
2025-07-24T04:00:27.6721320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-256color
2025-07-24T04:00:27.6721950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221-w
2025-07-24T04:00:27.6722630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-basic
2025-07-24T04:00:27.6723300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons-color
2025-07-24T04:00:27.6723910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40+
2025-07-24T04:00:27.6724590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt+pcfkeys
2025-07-24T04:00:27.6725190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent
2025-07-24T04:00:27.6725800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent20
2025-07-24T04:00:27.6726520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt100
2025-07-24T04:00:27.6727100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm
2025-07-24T04:00:27.6727810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-direct
2025-07-24T04:00:27.6728470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-base
2025-07-24T04:00:27.6729100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr
2025-07-24T04:00:27.6729730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372-w
2025-07-24T04:00:27.6730440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-color
2025-07-24T04:00:27.6731130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt420pc
2025-07-24T04:00:27.6731700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kvt
2025-07-24T04:00:27.6732300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro
2025-07-24T04:00:27.6732920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole
2025-07-24T04:00:27.6733660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-solaris
2025-07-24T04:00:27.6734300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-linux
2025-07-24T04:00:27.6734870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/ktm
2025-07-24T04:00:27.6735600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr-dumb
2025-07-24T04:00:27.6736280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+common
2025-07-24T04:00:27.6736980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-16color
2025-07-24T04:00:27.6737510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/k45
2025-07-24T04:00:27.6738180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit-am
2025-07-24T04:00:27.6738810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds6402
2025-07-24T04:00:27.6739720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372
2025-07-24T04:00:27.6740060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+acs
2025-07-24T04:00:27.6740720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+setal
2025-07-24T04:00:27.6741440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole+pcfkeys
2025-07-24T04:00:27.6742080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf3x
2025-07-24T04:00:27.6742670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7ix
2025-07-24T04:00:27.6743400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-256color
2025-07-24T04:00:27.6744000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit
2025-07-24T04:00:27.6744680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty-direct
2025-07-24T04:00:27.6745240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7
2025-07-24T04:00:27.6745930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+color
2025-07-24T04:00:27.6746510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty
2025-07-24T04:00:27.6747150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-co
2025-07-24T04:00:27.6747820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+koi8acs
2025-07-24T04:00:27.6748480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr8
2025-07-24T04:00:27.6749150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf4x
2025-07-24T04:00:27.6749730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon
2025-07-24T04:00:27.6750360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro2
2025-07-24T04:00:27.6750920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon2
2025-07-24T04:00:27.6751530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/38/8510
2025-07-24T04:00:27.6752160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm
2025-07-24T04:00:27.6752900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc-nl
2025-07-24T04:00:27.6753580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60wpp
2025-07-24T04:00:27.6754300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build309
2025-07-24T04:00:27.6754900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517
2025-07-24T04:00:27.6755620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wpp
2025-07-24T04:00:27.6756310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w
2025-07-24T04:00:27.6756980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+pp
2025-07-24T04:00:27.6757600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28-a
2025-07-24T04:00:27.6758780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25
2025-07-24T04:00:27.6759400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-euc
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2025-07-24T04:00:27.6761340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-s
2025-07-24T04:00:27.6761950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/netbsd6
2025-07-24T04:00:27.6762670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-w
2025-07-24T04:00:27.6763370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-nti
2025-07-24T04:00:27.6764020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-7
2025-07-24T04:00:27.6764730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build440
2025-07-24T04:00:27.6765470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100an
2025-07-24T04:00:27.6766120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt+sl
2025-07-24T04:00:27.6766780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100pp
2025-07-24T04:00:27.6767470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhpkeyboard
2025-07-24T04:00:27.6768140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-sjis
2025-07-24T04:00:27.6768780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vpwpp
2025-07-24T04:00:27.6769390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nxterm
2025-07-24T04:00:27.6770010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501
2025-07-24T04:00:27.6770680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisysk
2025-07-24T04:00:27.6771350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200an
2025-07-24T04:00:27.6772040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300pp
2025-07-24T04:00:27.6772730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325wpp
2025-07-24T04:00:27.6773400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vp+sl
2025-07-24T04:00:27.6774000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40
2025-07-24T04:00:27.6774860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-w
2025-07-24T04:00:27.6775910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350wpp
2025-07-24T04:00:27.6776470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wpp
2025-07-24T04:00:27.6777330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100
2025-07-24T04:00:27.6778140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220-8
2025-07-24T04:00:27.6778850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-a
2025-07-24T04:00:27.6779600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-o
2025-07-24T04:00:27.6780370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300an
2025-07-24T04:00:27.6781200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200pp
2025-07-24T04:00:27.6782160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wpp
2025-07-24T04:00:27.6782910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500
2025-07-24T04:00:27.6783610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-o
2025-07-24T04:00:27.6784430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-a
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2025-07-24T04:00:27.6786000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-o
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2025-07-24T04:00:27.6789850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-a
2025-07-24T04:00:27.6790640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c
2025-07-24T04:00:27.6791500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec5520
2025-07-24T04:00:27.6792400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325pp
2025-07-24T04:00:27.6793340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wan
2025-07-24T04:00:27.6794070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-s
2025-07-24T04:00:27.6794860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-o
2025-07-24T04:00:27.6795610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31
2025-07-24T04:00:27.6796410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wan
2025-07-24T04:00:27.6797200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-o
2025-07-24T04:00:27.6798010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wan
2025-07-24T04:00:27.6798920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-old-unk
2025-07-24T04:00:27.6799760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-a
2025-07-24T04:00:27.6800550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-a
2025-07-24T04:00:27.6801300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-acs
2025-07-24T04:00:27.6802020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+7
2025-07-24T04:00:27.6802830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build400
2025-07-24T04:00:27.6803530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-bce
2025-07-24T04:00:27.6810490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100an
2025-07-24T04:00:27.6810860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc-nl
2025-07-24T04:00:27.6811210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisys
2025-07-24T04:00:27.6811540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+acs
2025-07-24T04:00:27.6811880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w
2025-07-24T04:00:27.6812230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-acs
2025-07-24T04:00:27.6812580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-sjis
2025-07-24T04:00:27.6812900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m
2025-07-24T04:00:27.6813240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-acs
2025-07-24T04:00:27.6813590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518
2025-07-24T04:00:27.6813900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp511
2025-07-24T04:00:27.6814220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-7
2025-07-24T04:00:27.6814560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517-w
2025-07-24T04:00:27.6814900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwan
2025-07-24T04:00:27.6815260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c-s
2025-07-24T04:00:27.6815810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s
2025-07-24T04:00:27.6816620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350pp
2025-07-24T04:00:27.6817530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c41
2025-07-24T04:00:27.6818350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517
2025-07-24T04:00:27.6819010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa
2025-07-24T04:00:27.6819730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-a
2025-07-24T04:00:27.6820560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intan
2025-07-24T04:00:27.6821260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhp
2025-07-24T04:00:27.6821980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-o
2025-07-24T04:00:27.6822800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s
2025-07-24T04:00:27.6823520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wan
2025-07-24T04:00:27.6824330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/n7900
2025-07-24T04:00:27.6825090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-sjis
2025-07-24T04:00:27.6825930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+wpp
2025-07-24T04:00:27.6826770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25
2025-07-24T04:00:27.6827480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nd9500
2025-07-24T04:00:27.6828340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-7
2025-07-24T04:00:27.6829220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m-s
2025-07-24T04:00:27.6829930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50
2025-07-24T04:00:27.6830740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build361
2025-07-24T04:00:27.6831590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vpwpp
2025-07-24T04:00:27.6832330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900iv
2025-07-24T04:00:27.6833110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-acs
2025-07-24T04:00:27.6833810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7901
2025-07-24T04:00:27.6834670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wan
2025-07-24T04:00:27.6835600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sysk
2025-07-24T04:00:27.6836430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300pp
2025-07-24T04:00:27.6837300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200an
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2025-07-24T04:00:27.6870290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+wpp
2025-07-24T04:00:27.6871190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wan
2025-07-24T04:00:27.6871940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+pp
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2025-07-24T04:00:27.6873540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28
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2025-07-24T04:00:27.6878300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wpp
2025-07-24T04:00:27.6879070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intpp
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2025-07-24T04:00:27.6882320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42
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2025-07-24T04:00:27.6883970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news33
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2025-07-24T04:00:27.6887350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29
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2025-07-24T04:00:27.6893120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/northstar
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2025-07-24T04:00:27.6894420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wpp
2025-07-24T04:00:27.6895080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wpp
2025-07-24T04:00:27.6895820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wpp
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2025-07-24T04:00:27.6916420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-glasstty
2025-07-24T04:00:27.6917100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emx-base
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2025-07-24T04:00:27.6932230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc
2025-07-24T04:00:27.6932900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc
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2025-07-24T04:00:27.6938670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc
2025-07-24T04:00:27.6939320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10nv
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2025-07-24T04:00:27.6946280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bantam
2025-07-24T04:00:27.6947010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bobcat
2025-07-24T04:00:27.6947480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10
2025-07-24T04:00:27.6948220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-rv
2025-07-24T04:00:27.6948730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh3m
2025-07-24T04:00:27.6949550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bitgraph
2025-07-24T04:00:27.6950080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-rv
2025-07-24T04:00:27.6950630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bterm
2025-07-24T04:00:27.6951360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-mono
2025-07-24T04:00:27.6951930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25rv
2025-07-24T04:00:27.6952550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0rv
2025-07-24T04:00:27.6953210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-sparc
2025-07-24T04:00:27.6953830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive4
2025-07-24T04:00:27.6954460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive3
2025-07-24T04:00:27.6955220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beterm
2025-07-24T04:00:27.6955680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basis
2025-07-24T04:00:27.6956290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/blit
2025-07-24T04:00:27.6957190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-ppc
2025-07-24T04:00:27.6957570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25
2025-07-24T04:00:27.6958410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w-rv
2025-07-24T04:00:27.6958870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w
2025-07-24T04:00:27.6959460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beacon
2025-07-24T04:00:27.6960070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr
2025-07-24T04:00:27.6960740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr-24
2025-07-24T04:00:27.6961350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-24
2025-07-24T04:00:27.6962900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41
2025-07-24T04:00:27.6963250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41r
2025-07-24T04:00:27.6963580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime314
2025-07-24T04:00:27.6964540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh
2025-07-24T04:00:27.6964890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227
2025-07-24T04:00:27.6965240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mouse-sun
2025-07-24T04:00:27.6966110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mai
2025-07-24T04:00:27.6966460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm-ansi
2025-07-24T04:00:27.6967040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt70
2025-07-24T04:00:27.6967660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod24
2025-07-24T04:00:27.6968270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime340
2025-07-24T04:00:27.6968940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph48
2025-07-24T04:00:27.6969680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgterm
2025-07-24T04:00:27.6970280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu-color
2025-07-24T04:00:27.6970840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227
2025-07-24T04:00:27.6971500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old
2025-07-24T04:00:27.6972350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty+common
2025-07-24T04:00:27.6972810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-fb
2025-07-24T04:00:27.6973410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp
2025-07-24T04:00:27.6974070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp2
2025-07-24T04:00:27.6974670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm
2025-07-24T04:00:27.6975260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2
2025-07-24T04:00:27.6975880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mvterm
2025-07-24T04:00:27.6976480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt-70
2025-07-24T04:00:27.6977160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old-am
2025-07-24T04:00:27.6978100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt-256color
2025-07-24T04:00:27.6979050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm2
2025-07-24T04:00:27.6979720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macintosh
2025-07-24T04:00:27.6980400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macterminal-w
2025-07-24T04:00:27.6981000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100
2025-07-24T04:00:27.6981640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu
2025-07-24T04:00:27.6982230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac-w
2025-07-24T04:00:27.6982900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm5
2025-07-24T04:00:27.6983480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/m2-nam
2025-07-24T04:00:27.6984200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227am
2025-07-24T04:00:27.6984810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm3
2025-07-24T04:00:27.6985590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-v
2025-07-24T04:00:27.6986050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a
2025-07-24T04:00:27.6986810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.7
2025-07-24T04:00:27.6987480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel2-80
2025-07-24T04:00:27.6988000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph2
2025-07-24T04:00:27.6988650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1-nb
2025-07-24T04:00:27.6989390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-hb
2025-07-24T04:00:27.6989930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227am
2025-07-24T04:00:27.6990550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimeii
2025-07-24T04:00:27.6991480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-80
2025-07-24T04:00:27.6991890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microbee
2025-07-24T04:00:27.6992570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh-256color
2025-07-24T04:00:27.6993290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-direct
2025-07-24T04:00:27.6993980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-linux
2025-07-24T04:00:27.6994600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit22714
2025-07-24T04:00:27.6995370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty-direct
2025-07-24T04:00:27.6995870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-sun
2025-07-24T04:00:27.6996440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac
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2025-07-24T04:00:27.6997660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgt
2025-07-24T04:00:27.6998330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-3ax
2025-07-24T04:00:27.6999110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-256color
2025-07-24T04:00:27.6999840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel12-80
2025-07-24T04:00:27.7000410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph
2025-07-24T04:00:27.7000930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr
2025-07-24T04:00:27.7001660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm
2025-07-24T04:00:27.7002450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm+pcfkeys
2025-07-24T04:00:27.7002980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp1
2025-07-24T04:00:27.7003710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-color
2025-07-24T04:00:27.7004250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime1
2025-07-24T04:00:27.7004830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm314
2025-07-24T04:00:27.7005420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3a
2025-07-24T04:00:27.7006020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm340
2025-07-24T04:00:27.7006700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt4520-rv
2025-07-24T04:00:27.7007480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/megatek
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2025-07-24T04:00:27.7008810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-nb
2025-07-24T04:00:27.7009370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2
2025-07-24T04:00:27.7010090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mono-emx
2025-07-24T04:00:27.7010710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime
2025-07-24T04:00:27.7011240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk22714
2025-07-24T04:00:27.7012100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mdl110
2025-07-24T04:00:27.7013020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimei
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2025-07-24T04:00:27.7015470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.5
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2025-07-24T04:00:27.7021410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3ax
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2025-07-24T04:00:27.7035610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna68k
2025-07-24T04:00:27.7036650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8r
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2025-07-24T04:00:27.7038530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft-pc850
2025-07-24T04:00:27.7039470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.2
2025-07-24T04:00:27.7040250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-s
2025-07-24T04:00:27.7041190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+decid
2025-07-24T04:00:27.7042090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm
2025-07-24T04:00:27.7043080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-16color
2025-07-24T04:00:27.7043740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03
2025-07-24T04:00:27.7044480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03-w
2025-07-24T04:00:27.7045370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-vt
2025-07-24T04:00:27.7046290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/layer
2025-07-24T04:00:27.7047460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-basic
2025-07-24T04:00:27.7048050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisa
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2025-07-24T04:00:27.7051430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/liswb
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2025-07-24T04:00:27.7053210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1b
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2025-07-24T04:00:27.7055050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6.26
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2025-07-24T04:00:27.7058070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8
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2025-07-24T04:00:27.7059250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-w
2025-07-24T04:00:27.7059880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/9term
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2025-07-24T04:00:27.7061750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coco3
2025-07-24T04:00:27.7062420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-6lpi
2025-07-24T04:00:27.7063010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx100
2025-07-24T04:00:27.7063610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c321
2025-07-24T04:00:27.7064330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit80
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2025-07-24T04:00:27.7065460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops-10
2025-07-24T04:00:27.7066180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept-avt
2025-07-24T04:00:27.7066890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r
2025-07-24T04:00:27.7067520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100-rv
2025-07-24T04:00:27.7068230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60
2025-07-24T04:00:27.7068690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci1
2025-07-24T04:00:27.7069410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coherent
2025-07-24T04:00:27.7069930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-2
2025-07-24T04:00:27.7070680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb83
2025-07-24T04:00:27.7071200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r
2025-07-24T04:00:27.7071790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbunix
2025-07-24T04:00:27.7072530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv
2025-07-24T04:00:27.7073020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-8p
2025-07-24T04:00:27.7073630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10-w
2025-07-24T04:00:27.7074410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1
2025-07-24T04:00:27.7074890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-3
2025-07-24T04:00:27.7075580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citc
2025-07-24T04:00:27.7076150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-8p
2025-07-24T04:00:27.7076970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w8p
2025-07-24T04:00:27.7077470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-ps
2025-07-24T04:00:27.7078200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-4p
2025-07-24T04:00:27.7078840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n132
2025-07-24T04:00:27.7079600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel320
2025-07-24T04:00:27.7080150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8r-m
2025-07-24T04:00:27.7080720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct82
2025-07-24T04:00:27.7081650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct8500
2025-07-24T04:00:27.7082430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops
2025-07-24T04:00:27.7083420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100
2025-07-24T04:00:27.7084320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel321
2025-07-24T04:00:27.7085200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-8lpi
2025-07-24T04:00:27.7086070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-m
2025-07-24T04:00:27.7086820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25w
2025-07-24T04:00:27.7087600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbblit
2025-07-24T04:00:27.7088490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108
2025-07-24T04:00:27.7089340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r
2025-07-24T04:00:27.7090010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ctrm
2025-07-24T04:00:27.7090930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-rv
2025-07-24T04:00:27.7091840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv-4p
2025-07-24T04:00:27.7092780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ci8510
2025-07-24T04:00:27.7093950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r-m
2025-07-24T04:00:27.7094670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso-m
2025-07-24T04:00:27.7095490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/commodore
2025-07-24T04:00:27.7096340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108
2025-07-24T04:00:27.7097130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43
2025-07-24T04:00:27.7097940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso8859
2025-07-24T04:00:27.7098750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101
2025-07-24T04:00:27.7099640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30-m
2025-07-24T04:00:27.7100650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1-m
2025-07-24T04:00:27.7101360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100
2025-07-24T04:00:27.7102080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc752
2025-07-24T04:00:27.7102950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit500
2025-07-24T04:00:27.7103750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc2
2025-07-24T04:00:27.7104530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cg7900
2025-07-24T04:00:27.7105400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinDBG
2025-07-24T04:00:27.7106260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/chromatics
2025-07-24T04:00:27.7107080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1-m
2025-07-24T04:00:27.7107990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/colorscan
2025-07-24T04:00:27.7108670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ca22851
2025-07-24T04:00:27.7109600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r
2025-07-24T04:00:27.7110290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721
2025-07-24T04:00:27.7111100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n
2025-07-24T04:00:27.7111920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc3
2025-07-24T04:00:27.7112750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w
2025-07-24T04:00:27.7113590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-8p
2025-07-24T04:00:27.7114290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10
2025-07-24T04:00:27.7115160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-m
2025-07-24T04:00:27.7115920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30
2025-07-24T04:00:27.7116740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept
2025-07-24T04:00:27.7117780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh
2025-07-24T04:00:27.7118330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-pica
2025-07-24T04:00:27.7119310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso
2025-07-24T04:00:27.7120170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel300
2025-07-24T04:00:27.7120910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-4p
2025-07-24T04:00:27.7121790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-4p
2025-07-24T04:00:27.7122590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-elite
2025-07-24T04:00:27.7123460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops10
2025-07-24T04:00:27.7124300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e
2025-07-24T04:00:27.7125100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel301
2025-07-24T04:00:27.7125940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-comp
2025-07-24T04:00:27.7126680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-m
2025-07-24T04:00:27.7127400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-1p
2025-07-24T04:00:27.7128170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv
2025-07-24T04:00:27.7128970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc456
2025-07-24T04:00:27.7129820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit-80
2025-07-24T04:00:27.7130720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso-m
2025-07-24T04:00:27.7131680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso-m
2025-07-24T04:00:27.7132550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx
2025-07-24T04:00:27.7133350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r
2025-07-24T04:00:27.7134170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-debian
2025-07-24T04:00:27.7134810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt
2025-07-24T04:00:27.7135790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w-8p
2025-07-24T04:00:27.7136760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43-m
2025-07-24T04:00:27.7137550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt-vt220
2025-07-24T04:00:27.7138380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721-esc
2025-07-24T04:00:27.7139180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinB19
2025-07-24T04:00:27.7139980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1-m
2025-07-24T04:00:27.7140940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/color_xterm
2025-07-24T04:00:27.7141810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1
2025-07-24T04:00:27.7142740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-prop
2025-07-24T04:00:27.7143790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r-m
2025-07-24T04:00:27.7144640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8-r
2025-07-24T04:00:27.7145360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c301
2025-07-24T04:00:27.7146130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb110
2025-07-24T04:00:27.7147090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso8859
2025-07-24T04:00:27.7147880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w-8
2025-07-24T04:00:27.7148790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r-m
2025-07-24T04:00:27.7149460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c300
2025-07-24T04:00:27.7150330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25
2025-07-24T04:00:27.7151160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwin
2025-07-24T04:00:27.7151920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721ll
2025-07-24T04:00:27.7152850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r-m
2025-07-24T04:00:27.7153670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c104
2025-07-24T04:00:27.7154550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc756
2025-07-24T04:00:27.7155410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-132
2025-07-24T04:00:27.7156290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r-m
2025-07-24T04:00:27.7157020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci
2025-07-24T04:00:27.7157880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108rv4p
2025-07-24T04:00:27.7158660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1
2025-07-24T04:00:27.7159610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/digilog
2025-07-24T04:00:27.7160450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-34
2025-07-24T04:00:27.7161520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80
2025-07-24T04:00:27.7162050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b-w
2025-07-24T04:00:27.7162840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-7b-w
2025-07-24T04:00:27.7163620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d132
2025-07-24T04:00:27.7164400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c
2025-07-24T04:00:27.7165230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-sna
2025-07-24T04:00:27.7165940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/delta
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2025-07-24T04:00:27.7167680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7103-sna
2025-07-24T04:00:27.7168490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix
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2025-07-24T04:00:27.7170270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b
2025-07-24T04:00:27.7171180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmchat
2025-07-24T04:00:27.7172060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48-m
2025-07-24T04:00:27.7173020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt220
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2025-07-24T04:00:27.7174960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3025
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2025-07-24T04:00:27.7176550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw1
2025-07-24T04:00:27.7177530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix-25
2025-07-24T04:00:27.7178260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+25
2025-07-24T04:00:27.7179240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-w
2025-07-24T04:00:27.7180080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48-m
2025-07-24T04:00:27.7181030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt330
2025-07-24T04:00:27.7181750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-dg
2025-07-24T04:00:27.7182740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datapoint
2025-07-24T04:00:27.7183490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211
2025-07-24T04:00:27.7184260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462e-dg
2025-07-24T04:00:27.7185030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+
2025-07-24T04:00:27.7185860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-25
2025-07-24T04:00:27.7186670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80
2025-07-24T04:00:27.7187550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s-ccc
2025-07-24T04:00:27.7188430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220
2025-07-24T04:00:27.7189360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-w
2025-07-24T04:00:27.7190150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue80
2025-07-24T04:00:27.7191160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25
2025-07-24T04:00:27.7192010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb
2025-07-24T04:00:27.7193000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr-ccc
2025-07-24T04:00:27.7193940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-generic
2025-07-24T04:00:27.7194780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix-25
2025-07-24T04:00:27.7195580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003
2025-07-24T04:00:27.7196380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-25
2025-07-24T04:00:27.7197340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37-m
2025-07-24T04:00:27.7198210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+25
2025-07-24T04:00:27.7199020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1720
2025-07-24T04:00:27.7199930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470
2025-07-24T04:00:27.7200850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-s
2025-07-24T04:00:27.7201640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-s
2025-07-24T04:00:27.7202510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decpro
2025-07-24T04:00:27.7203400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210
2025-07-24T04:00:27.7204320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datagraphix
2025-07-24T04:00:27.7205230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-dg
2025-07-24T04:00:27.7206090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-sr
2025-07-24T04:00:27.7207060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25-m
2025-07-24T04:00:27.7207990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b-w
2025-07-24T04:00:27.7208790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-ccc
2025-07-24T04:00:27.7209640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr
2025-07-24T04:00:27.7210560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt340
2025-07-24T04:00:27.7211380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80w
2025-07-24T04:00:27.7212330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb-emacs-ansi
2025-07-24T04:00:27.7213120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80w
2025-07-24T04:00:27.7214320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-dg
2025-07-24T04:00:27.7214900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+11
2025-07-24T04:00:27.7215840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datamedia2500
2025-07-24T04:00:27.7216530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtc382
2025-07-24T04:00:27.7217330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-w
2025-07-24T04:00:27.7218170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-old
2025-07-24T04:00:27.7219590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m
2025-07-24T04:00:27.7220610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix
2025-07-24T04:00:27.7221320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-dg
2025-07-24T04:00:27.7222240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b-w
2025-07-24T04:00:27.7223230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s
2025-07-24T04:00:27.7224120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr
2025-07-24T04:00:27.7224890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color8
2025-07-24T04:00:27.7225750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp
2025-07-24T04:00:27.7226800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37
2025-07-24T04:00:27.7227600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-dg
2025-07-24T04:00:27.7228370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-25
2025-07-24T04:00:27.7229180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr3180
2025-07-24T04:00:27.7230190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+7b
2025-07-24T04:00:27.7231120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-dg
2025-07-24T04:00:27.7232100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg-ccc
2025-07-24T04:00:27.7233080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr-ccc
2025-07-24T04:00:27.7234010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400
2025-07-24T04:00:27.7234830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-dg
2025-07-24T04:00:27.7235610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+sr
2025-07-24T04:00:27.7236430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-b
2025-07-24T04:00:27.7237320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-sr
2025-07-24T04:00:27.7238250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color8
2025-07-24T04:00:27.7239030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix
2025-07-24T04:00:27.7239870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt110
2025-07-24T04:00:27.7240850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-ccc
2025-07-24T04:00:27.7241540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-ansi
2025-07-24T04:00:27.7242450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+fixed
2025-07-24T04:00:27.7243130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd
2025-07-24T04:00:27.7243890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100w
2025-07-24T04:00:27.7244730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640
2025-07-24T04:00:27.7245590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40
2025-07-24T04:00:27.7246350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-dg
2025-07-24T04:00:27.7247270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dataspeed40
2025-07-24T04:00:27.7248350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+w
2025-07-24T04:00:27.7248890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dd5000
2025-07-24T04:00:27.7249830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt400
2025-07-24T04:00:27.7250670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp3360
2025-07-24T04:00:27.7251480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053-old
2025-07-24T04:00:27.7252180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg210
2025-07-24T04:00:27.7253140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64-m
2025-07-24T04:00:27.7254010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-s
2025-07-24T04:00:27.7255100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48
2025-07-24T04:00:27.7256000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64
2025-07-24T04:00:27.7256820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmterm
2025-07-24T04:00:27.7257660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+
2025-07-24T04:00:27.7258410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo-lm
2025-07-24T04:00:27.7259270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decansi
2025-07-24T04:00:27.7260160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b-w
2025-07-24T04:00:27.7261030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w
2025-07-24T04:00:27.7261860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+25
2025-07-24T04:00:27.7262950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-b
2025-07-24T04:00:27.7263380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix
2025-07-24T04:00:27.7264000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-7b
2025-07-24T04:00:27.7264620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+sr
2025-07-24T04:00:27.7265280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40-2
2025-07-24T04:00:27.7266120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg211
2025-07-24T04:00:27.7266880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80w
2025-07-24T04:00:27.7267770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-dg
2025-07-24T04:00:27.7268760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-w
2025-07-24T04:00:27.7269470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-w
2025-07-24T04:00:27.7270330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c-dg
2025-07-24T04:00:27.7270980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d80
2025-07-24T04:00:27.7271700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw3
2025-07-24T04:00:27.7272540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30
2025-07-24T04:00:27.7273260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100
2025-07-24T04:00:27.7274040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+ccc
2025-07-24T04:00:27.7274740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw4
2025-07-24T04:00:27.7275600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk-vt
2025-07-24T04:00:27.7276330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-dg
2025-07-24T04:00:27.7277250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30-m
2025-07-24T04:00:27.7278100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+fixed
2025-07-24T04:00:27.7278900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue
2025-07-24T04:00:27.7279580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-dg
2025-07-24T04:00:27.7280360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg450
2025-07-24T04:00:27.7281120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555
2025-07-24T04:00:27.7281910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-dg
2025-07-24T04:00:27.7282720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3045
2025-07-24T04:00:27.7283620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1520
2025-07-24T04:00:27.7284390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decwriter
2025-07-24T04:00:27.7285340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37
2025-07-24T04:00:27.7286170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30
2025-07-24T04:00:27.7286960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-w
2025-07-24T04:00:27.7287880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm2500
2025-07-24T04:00:27.7288430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix
2025-07-24T04:00:27.7289240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-7b
2025-07-24T04:00:27.7290000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+
2025-07-24T04:00:27.7290780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-7b
2025-07-24T04:00:27.7291660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620-m8
2025-07-24T04:00:27.7292530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80-sas
2025-07-24T04:00:27.7293300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+w
2025-07-24T04:00:27.7294220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450-dg
2025-07-24T04:00:27.7295040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-sr
2025-07-24T04:00:27.7295860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75
2025-07-24T04:00:27.7296850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96
2025-07-24T04:00:27.7297630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw2
2025-07-24T04:00:27.7298380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg605x
2025-07-24T04:00:27.7299220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75-m
2025-07-24T04:00:27.7299960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color
2025-07-24T04:00:27.7300640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2-dg
2025-07-24T04:00:27.7301470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-dg
2025-07-24T04:00:27.7302100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd1
2025-07-24T04:00:27.7303170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1521
2025-07-24T04:00:27.7304130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25-ccc
2025-07-24T04:00:27.7304750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk
2025-07-24T04:00:27.7305580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053
2025-07-24T04:00:27.7306470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40-m
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2025-07-24T04:00:27.7308860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg200
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2025-07-24T04:00:27.7313220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm-256color
2025-07-24T04:00:27.7313900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp8242
2025-07-24T04:00:27.7314850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400-dg
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2025-07-24T04:00:27.7316540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-sr
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2025-07-24T04:00:27.7319240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-s
2025-07-24T04:00:27.7319920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-dg
2025-07-24T04:00:27.7320800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+dg
2025-07-24T04:00:27.7321570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215
2025-07-24T04:00:27.7322390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-25
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2025-07-24T04:00:27.7326390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411
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2025-07-24T04:00:27.7331250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-dg
2025-07-24T04:00:27.7332030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm
2025-07-24T04:00:27.7332920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg
2025-07-24T04:00:27.7333670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+sl
2025-07-24T04:00:27.7334450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7202
2025-07-24T04:00:27.7335350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96-m
2025-07-24T04:00:27.7336180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-w
2025-07-24T04:00:27.7336940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-w
2025-07-24T04:00:27.7337840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-w
2025-07-24T04:00:27.7338720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-w
2025-07-24T04:00:27.7339500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+ccc
2025-07-24T04:00:27.7340390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-7b
2025-07-24T04:00:27.7341130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt100
2025-07-24T04:00:27.7342080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214
2025-07-24T04:00:27.7342860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo630
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2025-07-24T04:00:27.7344360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d800
2025-07-24T04:00:27.7345210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100w
2025-07-24T04:00:27.7345920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+dg
2025-07-24T04:00:27.7346560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460
2025-07-24T04:00:27.7347370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1730
2025-07-24T04:00:27.7348140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200
2025-07-24T04:00:27.7348930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr
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2025-07-24T04:00:27.7350740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w
2025-07-24T04:00:27.7351530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f2
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2025-07-24T04:00:27.7353100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-dg
2025-07-24T04:00:27.7353860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+dg
2025-07-24T04:00:27.7354660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp203
2025-07-24T04:00:27.7355480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp204
2025-07-24T04:00:27.7356320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-dg
2025-07-24T04:00:27.7357080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6134
2025-07-24T04:00:27.7357820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b
2025-07-24T04:00:27.7358530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80
2025-07-24T04:00:27.7359340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-25
2025-07-24T04:00:27.7360280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w-ccc
2025-07-24T04:00:27.7361010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+15
2025-07-24T04:00:27.7361780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b-w
2025-07-24T04:00:27.7362540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450
2025-07-24T04:00:27.7363360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f
2025-07-24T04:00:27.7364120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30-m
2025-07-24T04:00:27.7364820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b
2025-07-24T04:00:27.7365350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg100
2025-07-24T04:00:27.7366160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461
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2025-07-24T04:00:27.7478670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48pc
2025-07-24T04:00:27.7479340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-tek
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2025-07-24T04:00:27.7481960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-vb
2025-07-24T04:00:27.7482730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25
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2025-07-24T04:00:27.7484690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w
2025-07-24T04:00:27.7485460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-PC
2025-07-24T04:00:27.7486020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-vb
2025-07-24T04:00:27.7486760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-wvb
2025-07-24T04:00:27.7487380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-105k
2025-07-24T04:00:27.7488070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-24
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2025-07-24T04:00:27.7490010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-25-w
2025-07-24T04:00:27.7490590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150
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2025-07-24T04:00:27.7492050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-25-w
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2025-07-24T04:00:27.7495920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99f
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2025-07-24T04:00:27.7498680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-43-w
2025-07-24T04:00:27.7499280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-wvb
2025-07-24T04:00:27.7499970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160
2025-07-24T04:00:27.7500540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-vb
2025-07-24T04:00:27.7501240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36wpc
2025-07-24T04:00:27.7501900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-25-w
2025-07-24T04:00:27.7502560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99a-ansi
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2025-07-24T04:00:27.7504500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-vb
2025-07-24T04:00:27.7505180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185
2025-07-24T04:00:27.7505920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-42
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2025-07-24T04:00:27.7507210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-vb
2025-07-24T04:00:27.7507820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-p-wvb
2025-07-24T04:00:27.7508600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-24
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2025-07-24T04:00:27.7509900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-wvb
2025-07-24T04:00:27.7510530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36
2025-07-24T04:00:27.7511250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-vb
2025-07-24T04:00:27.7511750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350
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2025-07-24T04:00:27.7514440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48wpc
2025-07-24T04:00:27.7515450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-w
2025-07-24T04:00:27.7516000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-w
2025-07-24T04:00:27.7516740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-w
2025-07-24T04:00:27.7517260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-mc
2025-07-24T04:00:27.7518030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt
2025-07-24T04:00:27.7518590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-wvb
2025-07-24T04:00:27.7519250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-25
2025-07-24T04:00:27.7519910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370
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2025-07-24T04:00:27.7522540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-wvb
2025-07-24T04:00:27.7523180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-wvb
2025-07-24T04:00:27.7523980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-25-w
2025-07-24T04:00:27.7524540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-vb
2025-07-24T04:00:27.7525350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-w
2025-07-24T04:00:27.7525830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42-w
2025-07-24T04:00:27.7526490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-8bit
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2025-07-24T04:00:27.7529090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-w
2025-07-24T04:00:27.7529780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520
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2025-07-24T04:00:27.7531160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-wvb
2025-07-24T04:00:27.7531740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-wvb
2025-07-24T04:00:27.7532570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43w
2025-07-24T04:00:27.7533030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-43
2025-07-24T04:00:27.7533670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-wvb
2025-07-24T04:00:27.7534330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-wvb
2025-07-24T04:00:27.7534970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-mc
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2025-07-24T04:00:27.7536410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-vb
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2025-07-24T04:00:27.7537720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse+sl
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2025-07-24T04:00:27.7539030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-vp
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2025-07-24T04:00:27.7542170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-24
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2025-07-24T04:00:27.7544810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-mc
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2025-07-24T04:00:27.7547370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-rv
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2025-07-24T04:00:27.7554090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3-bold
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2025-07-24T04:00:27.7557260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+keypad
2025-07-24T04:00:27.7557850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40
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2025-07-24T04:00:27.7559100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m
2025-07-24T04:00:27.7559720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200w
2025-07-24T04:00:27.7560400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-w
2025-07-24T04:00:27.7560990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccons
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2025-07-24T04:00:27.7562300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmconsole
2025-07-24T04:00:27.7562890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvtXX
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2025-07-24T04:00:27.7564160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-vt100
2025-07-24T04:00:27.7564720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p19
2025-07-24T04:00:27.7565330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty
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2025-07-24T04:00:27.7566610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc6300plus
2025-07-24T04:00:27.7567290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-96x48
2025-07-24T04:00:27.7567930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcconsole
2025-07-24T04:00:27.7568540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pro350
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2025-07-24T04:00:27.7569840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25
2025-07-24T04:00:27.7570420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8
2025-07-24T04:00:27.7571210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+xterm
2025-07-24T04:00:27.7571820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-venix
2025-07-24T04:00:27.7572510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-basic
2025-07-24T04:00:27.7573130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit
2025-07-24T04:00:27.7573840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs0
2025-07-24T04:00:27.7574470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43
2025-07-24T04:00:27.7575040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pty
2025-07-24T04:00:27.7575670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505
2025-07-24T04:00:27.7576280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon
2025-07-24T04:00:27.7576900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism7
2025-07-24T04:00:27.7577550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-minix
2025-07-24T04:00:27.7578180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9
2025-07-24T04:00:27.7578860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit120
2025-07-24T04:00:27.7579470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50w
2025-07-24T04:00:27.7580100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8
2025-07-24T04:00:27.7580780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-fast
2025-07-24T04:00:27.7581460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/printer
2025-07-24T04:00:27.7582030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1251
2025-07-24T04:00:27.7582690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33
2025-07-24T04:00:27.7583340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35w
2025-07-24T04:00:27.7584120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt400
2025-07-24T04:00:27.7584770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25-m
2025-07-24T04:00:27.7585460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m-w
2025-07-24T04:00:27.7586040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8-w
2025-07-24T04:00:27.7586680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-m
2025-07-24T04:00:27.7587300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8gl
2025-07-24T04:00:27.7588000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs
2025-07-24T04:00:27.7588640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1
2025-07-24T04:00:27.7589330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys
2025-07-24T04:00:27.7590020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-256color
2025-07-24T04:00:27.7590700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-90x28
2025-07-24T04:00:27.7591390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-mono
2025-07-24T04:00:27.7591990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250
2025-07-24T04:00:27.7592620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6100
2025-07-24T04:00:27.7593310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m-w
2025-07-24T04:00:27.7593910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcz19
2025-07-24T04:00:27.7594570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8
2025-07-24T04:00:27.7595190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm
2025-07-24T04:00:27.7595980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt100
2025-07-24T04:00:27.7596570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m
2025-07-24T04:00:27.7597150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p7
2025-07-24T04:00:27.7597810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43
2025-07-24T04:00:27.7598410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9
2025-07-24T04:00:27.7599100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-w
2025-07-24T04:00:27.7599720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40w
2025-07-24T04:00:27.7600340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28
2025-07-24T04:00:27.7600960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1100
2025-07-24T04:00:27.7601640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-coherent
2025-07-24T04:00:27.7602220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe550
2025-07-24T04:00:27.7602820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8
2025-07-24T04:00:27.7603460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m-w
2025-07-24T04:00:27.7604040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3
2025-07-24T04:00:27.7604670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcmw
2025-07-24T04:00:27.7605330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43w
2025-07-24T04:00:27.7605980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m
2025-07-24T04:00:27.7606620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-w
2025-07-24T04:00:27.7607280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r-m
2025-07-24T04:00:27.7607910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25w
2025-07-24T04:00:27.7608550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6312
2025-07-24T04:00:27.7609210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-sco
2025-07-24T04:00:27.7609960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+esc
2025-07-24T04:00:27.7610500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-w
2025-07-24T04:00:27.7611110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r
2025-07-24T04:00:27.7611730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12
2025-07-24T04:00:27.7612350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000m
2025-07-24T04:00:27.7613000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1b
2025-07-24T04:00:27.7613610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi
2025-07-24T04:00:27.7614230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000c
2025-07-24T04:00:27.7614930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25-color
2025-07-24T04:00:27.7615540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi43
2025-07-24T04:00:27.7616110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14
2025-07-24T04:00:27.7616780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m-w
2025-07-24T04:00:27.7617370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14
2025-07-24T04:00:27.7618050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-noapp
2025-07-24T04:00:27.7618660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pilot
2025-07-24T04:00:27.7619240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12
2025-07-24T04:00:27.7619940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+colors
2025-07-24T04:00:27.7620690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+linux
2025-07-24T04:00:27.7621340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25m
2025-07-24T04:00:27.7621990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psx_ansi
2025-07-24T04:00:27.7622640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25
2025-07-24T04:00:27.7623240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100
2025-07-24T04:00:27.7623870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/ps300
2025-07-24T04:00:27.7624470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1200
2025-07-24T04:00:27.7625090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250w
2025-07-24T04:00:27.7625730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8gl
2025-07-24T04:00:27.7626380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33
2025-07-24T04:00:27.7626990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism4
2025-07-24T04:00:27.7627630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-24
2025-07-24T04:00:27.7628250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8-w
2025-07-24T04:00:27.7628870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcplot
2025-07-24T04:00:27.7629610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+sco
2025-07-24T04:00:27.7630280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-screen
2025-07-24T04:00:27.7630920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+keys
2025-07-24T04:00:27.7631530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism5
2025-07-24T04:00:27.7632160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-22
2025-07-24T04:00:27.7632780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism2
2025-07-24T04:00:27.7633410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m2
2025-07-24T04:00:27.7634020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc7300
2025-07-24T04:00:27.7634720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-80x24
2025-07-24T04:00:27.7635360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+base
2025-07-24T04:00:27.7636010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33m
2025-07-24T04:00:27.7636640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon-m
2025-07-24T04:00:27.7637250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100w
2025-07-24T04:00:27.7637910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6300
2025-07-24T04:00:27.7638470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200
2025-07-24T04:00:27.7639100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35
2025-07-24T04:00:27.7639730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28w
2025-07-24T04:00:27.7640340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmcons
2025-07-24T04:00:27.7640940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcix
2025-07-24T04:00:27.7641590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0-m
2025-07-24T04:00:27.7642190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50
2025-07-24T04:00:27.7642870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33-m
2025-07-24T04:00:27.7643550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+screen
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2025-07-24T04:00:27.7645440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25
2025-07-24T04:00:27.7646120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25-w
2025-07-24T04:00:27.7647040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25-w
2025-07-24T04:00:27.7647640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt
2025-07-24T04:00:27.7648300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25
2025-07-24T04:00:27.7648900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119
2025-07-24T04:00:27.7649480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx
2025-07-24T04:00:27.7650130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt4
2025-07-24T04:00:27.7650750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103
2025-07-24T04:00:27.7651410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-w
2025-07-24T04:00:27.7652060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p
2025-07-24T04:00:27.7652700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-g
2025-07-24T04:00:27.7653410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25-w
2025-07-24T04:00:27.7654050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-w
2025-07-24T04:00:27.7654660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt102
2025-07-24T04:00:27.7655300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-t
2025-07-24T04:00:27.7655890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt2
2025-07-24T04:00:27.7656570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w
2025-07-24T04:00:27.7657200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101p
2025-07-24T04:00:27.7657850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxtmono
2025-07-24T04:00:27.7658500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103-w
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2025-07-24T04:00:27.7661080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxw
2025-07-24T04:00:27.7661690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx4
2025-07-24T04:00:27.7662370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-w
2025-07-24T04:00:27.7662970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxm
2025-07-24T04:00:27.7663620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-m
2025-07-24T04:00:27.7664210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdss
2025-07-24T04:00:27.7664860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-w
2025-07-24T04:00:27.7665500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101
2025-07-24T04:00:27.7666210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+
2025-07-24T04:00:27.7666790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt108
2025-07-24T04:00:27.7667400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume5
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2025-07-24T04:00:27.7669290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203+
2025-07-24T04:00:27.7669960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-25-w
2025-07-24T04:00:27.7670560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61
2025-07-24T04:00:27.7671190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt330
2025-07-24T04:00:27.7671780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102
2025-07-24T04:00:27.7672390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50
2025-07-24T04:00:27.7673020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp60
2025-07-24T04:00:27.7673680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-putty
2025-07-24T04:00:27.7674280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8
2025-07-24T04:00:27.7675010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav-w
2025-07-24T04:00:27.7675570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300
2025-07-24T04:00:27.7676180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt132
2025-07-24T04:00:27.7676810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc403a
2025-07-24T04:00:27.7677510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+pcedit
2025-07-24T04:00:27.7678110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s
2025-07-24T04:00:27.7678710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip
2025-07-24T04:00:27.7679380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-direct
2025-07-24T04:00:27.7680060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint90
2025-07-24T04:00:27.7680760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte+pcfkeys
2025-07-24T04:00:27.7681380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-nam
2025-07-24T04:00:27.7681970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vitty
2025-07-24T04:00:27.7682620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-w
2025-07-24T04:00:27.7683300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/versaterm
2025-07-24T04:00:27.7683930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visa50
2025-07-24T04:00:27.7684540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp3a+
2025-07-24T04:00:27.7685180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata
2025-07-24T04:00:27.7685820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2014
2025-07-24T04:00:27.7686430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi550
2025-07-24T04:00:27.7687100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-nsgr
2025-07-24T04:00:27.7687740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-old
2025-07-24T04:00:27.7688320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-61
2025-07-24T04:00:27.7689050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k311
2025-07-24T04:00:27.7689650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+
2025-07-24T04:00:27.7690340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+keypad
2025-07-24T04:00:27.7690920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vtnt
2025-07-24T04:00:27.7691600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+4bsd
2025-07-24T04:00:27.7692260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-o
2025-07-24T04:00:27.7692900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61.5
2025-07-24T04:00:27.7693520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pc
2025-07-24T04:00:27.7694130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc203
2025-07-24T04:00:27.7694750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v200-nam
2025-07-24T04:00:27.7695360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220
2025-07-24T04:00:27.7696000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k3
2025-07-24T04:00:27.7696620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100nam
2025-07-24T04:00:27.7697260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2012
2025-07-24T04:00:27.7697870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300
2025-07-24T04:00:27.7698490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vapple
2025-07-24T04:00:27.7699100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-H
2025-07-24T04:00:27.7699750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2008
2025-07-24T04:00:27.7700390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc415
2025-07-24T04:00:27.7700980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400
2025-07-24T04:00:27.7701620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-vb
2025-07-24T04:00:27.7702320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+vtedit
2025-07-24T04:00:27.7702960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-nam
2025-07-24T04:00:27.7703600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v320n
2025-07-24T04:00:27.7704190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vv100
2025-07-24T04:00:27.7704880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+enq
2025-07-24T04:00:27.7705560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-w
2025-07-24T04:00:27.7706200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102+enq
2025-07-24T04:00:27.7706830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2007
2025-07-24T04:00:27.7707530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-top
2025-07-24T04:00:27.7708150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414
2025-07-24T04:00:27.7708790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w
2025-07-24T04:00:27.7709490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52-basic
2025-07-24T04:00:27.7710080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vk100
2025-07-24T04:00:27.7710770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8bit
2025-07-24T04:00:27.7711390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520
2025-07-24T04:00:27.7711990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt340
2025-07-24T04:00:27.7712660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100-x10
2025-07-24T04:00:27.7713380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam-w
2025-07-24T04:00:27.7713940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi55
2025-07-24T04:00:27.7714550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi603
2025-07-24T04:00:27.7715190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vwmterm
2025-07-24T04:00:27.7715860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pcdos
2025-07-24T04:00:27.7716510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-js
2025-07-24T04:00:27.7717100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100
2025-07-24T04:00:27.7717780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520ansi
2025-07-24T04:00:27.7718370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510
2025-07-24T04:00:27.7719020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-js
2025-07-24T04:00:27.7719710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-256color
2025-07-24T04:00:27.7720360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-w
2025-07-24T04:00:27.7721010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis
2025-07-24T04:00:27.7721650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc103
2025-07-24T04:00:27.7722310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8bit
2025-07-24T04:00:27.7722970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300-old
2025-07-24T04:00:27.7723590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-w
2025-07-24T04:00:27.7724180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp90
2025-07-24T04:00:27.7724890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+fnkeys
2025-07-24T04:00:27.7725500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-f
2025-07-24T04:00:27.7726160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420f
2025-07-24T04:00:27.7726910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400-24
2025-07-24T04:00:27.7727760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w
2025-07-24T04:00:27.7728160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visual603
2025-07-24T04:00:27.7728830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w
2025-07-24T04:00:27.7729460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint60
2025-07-24T04:00:27.7730040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52
2025-07-24T04:00:27.7730650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt131
2025-07-24T04:00:27.7731250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50h
2025-07-24T04:00:27.7731860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100
2025-07-24T04:00:27.7732460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/venix
2025-07-24T04:00:27.7733110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2017
2025-07-24T04:00:27.7733760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-Hw
2025-07-24T04:00:27.7734370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404
2025-07-24T04:00:27.7734970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420
2025-07-24T04:00:27.7735660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nav
2025-07-24T04:00:27.7736220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte
2025-07-24T04:00:27.7736840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v3220
2025-07-24T04:00:27.7737520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bot-s
2025-07-24T04:00:27.7738170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nam
2025-07-24T04:00:27.7738760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi500
2025-07-24T04:00:27.7739380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414h
2025-07-24T04:00:27.7740070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+keypad
2025-07-24T04:00:27.7740680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2018
2025-07-24T04:00:27.7741360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420+lrmm
2025-07-24T04:00:27.7742030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+pfkeys
2025-07-24T04:00:27.7742670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pcdos
2025-07-24T04:00:27.7743290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vremote
2025-07-24T04:00:27.7743970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-top-s
2025-07-24T04:00:27.7744620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-rv
2025-07-24T04:00:27.7745220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-w
2025-07-24T04:00:27.7745900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav
2025-07-24T04:00:27.7746550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-base
2025-07-24T04:00:27.7747210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w-nam
2025-07-24T04:00:27.7747890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint3a+
2025-07-24T04:00:27.7748520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam
2025-07-24T04:00:27.7749170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm-o
2025-07-24T04:00:27.7749820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50adm
2025-07-24T04:00:27.7750440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-nam
2025-07-24T04:00:27.7751040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200
2025-07-24T04:00:27.7751650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220d
2025-07-24T04:00:27.7752230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vsc
2025-07-24T04:00:27.7752860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pc
2025-07-24T04:00:27.7753480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8
2025-07-24T04:00:27.7754110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vanilla
2025-07-24T04:00:27.7754710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode
2025-07-24T04:00:27.7755320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt125
2025-07-24T04:00:27.7755930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-Hw
2025-07-24T04:00:27.7756610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-old
2025-07-24T04:00:27.7757190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v5410
2025-07-24T04:00:27.7757880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+keypad
2025-07-24T04:00:27.7758470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303a
2025-07-24T04:00:27.7759120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-am
2025-07-24T04:00:27.7759780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-bot
2025-07-24T04:00:27.7760420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320nam
2025-07-24T04:00:27.7761080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-am
2025-07-24T04:00:27.7761670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320
2025-07-24T04:00:27.7762280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303
2025-07-24T04:00:27.7762880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50
2025-07-24T04:00:27.7763530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-H
2025-07-24T04:00:27.7764180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint
2025-07-24T04:00:27.7764790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404-s
2025-07-24T04:00:27.7765460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis8
2025-07-24T04:00:27.7766070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-utf8
2025-07-24T04:00:27.7766690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200
2025-07-24T04:00:27.7767330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm
2025-07-24T04:00:27.7768030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode-direct
2025-07-24T04:00:27.7768600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt525
2025-07-24T04:00:27.7769240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-rv
2025-07-24T04:00:27.7769920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w-nam
2025-07-24T04:00:27.7770620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-256color
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2025-07-24T04:00:27.7772640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+200x64
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2025-07-24T04:00:27.7774660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+osc104
2025-07-24T04:00:27.7775380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64-m
2025-07-24T04:00:27.7776030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-color
2025-07-24T04:00:27.7776710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-16color
2025-07-24T04:00:27.7777440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v40
2025-07-24T04:00:27.7778330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x40
2025-07-24T04:00:27.7778990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-b
2025-07-24T04:00:27.7779690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct256
2025-07-24T04:00:27.7780370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct2
2025-07-24T04:00:27.7780960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xgterm
2025-07-24T04:00:27.7781670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+88color
2025-07-24T04:00:27.7782280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+c
2025-07-24T04:00:27.7782950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pce2
2025-07-24T04:00:27.7783630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64
2025-07-24T04:00:27.7784320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x48
2025-07-24T04:00:27.7785020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app
2025-07-24T04:00:27.7785650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-8bit
2025-07-24T04:00:27.7786270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox820
2025-07-24T04:00:27.7786870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1750
2025-07-24T04:00:27.7787590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+112x37
2025-07-24T04:00:27.7788270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermm
2025-07-24T04:00:27.7788860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xi
2025-07-24T04:00:27.7789530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc0
2025-07-24T04:00:27.7790190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f
2025-07-24T04:00:27.7790890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x11hilite
2025-07-24T04:00:27.7791500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermc
2025-07-24T04:00:27.7792210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x25-m
2025-07-24T04:00:27.7792870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcf2
2025-07-24T04:00:27.7793540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+keypad
2025-07-24T04:00:27.7794140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm
2025-07-24T04:00:27.7794830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x40
2025-07-24T04:00:27.7795490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+noapp
2025-07-24T04:00:27.7796110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+b
2025-07-24T04:00:27.7796790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-basic
2025-07-24T04:00:27.7797430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+meta
2025-07-24T04:00:27.7798140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11mouse
2025-07-24T04:00:27.7798770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f2
2025-07-24T04:00:27.7799360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x820
2025-07-24T04:00:27.7800030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc1
2025-07-24T04:00:27.7804040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-r6
2025-07-24T04:00:27.7804290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1720
2025-07-24T04:00:27.7804440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm.js
2025-07-24T04:00:27.7804590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-88color
2025-07-24T04:00:27.7804720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+tmux2
2025-07-24T04:00:27.7804870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-144x48-m
2025-07-24T04:00:27.7805490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct2
2025-07-24T04:00:27.7805620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-utf8
2025-07-24T04:00:27.7805970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11hilite
2025-07-24T04:00:27.7806620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct16
2025-07-24T04:00:27.7807180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xdku
2025-07-24T04:00:27.7808010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x68k-ite
2025-07-24T04:00:27.7808530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+alt+title
2025-07-24T04:00:27.7809250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-112x37-m
2025-07-24T04:00:27.7809920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct
2025-07-24T04:00:27.7810620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v333
2025-07-24T04:00:27.7811310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xfree86
2025-07-24T04:00:27.7812130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-vt220
2025-07-24T04:00:27.7812650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+acs
2025-07-24T04:00:27.7813230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-hp
2025-07-24T04:00:27.7813890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-new
2025-07-24T04:00:27.7814590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-noapp
2025-07-24T04:00:27.7815250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pc+edit
2025-07-24T04:00:27.7816050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-1003
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2025-07-24T04:00:27.7928490Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_depth_limit.html
2025-07-24T04:00:27.7929150Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2.html
2025-07-24T04:00:27.7930250Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create_from_pattern.html
2025-07-24T04:00:27.7930930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2unicode.html
2025-07-24T04:00:27.7931690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2sample.html
2025-07-24T04:00:27.7932580Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_convert.html
2025-07-24T04:00:27.7933390Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_heap_limit.html
2025-07-24T04:00:27.7934320Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_substitute_callout.html
2025-07-24T04:00:27.7934930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/index.html
2025-07-24T04:00:27.7935730Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_free.html
2025-07-24T04:00:27.7936680Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_converted_pattern_free.html
2025-07-24T04:00:27.7937630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_bynumber.html
2025-07-24T04:00:27.7938420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_free.html
2025-07-24T04:00:27.7939280Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_callout_enumerate.html
2025-07-24T04:00:27.7940100Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_free.html
2025-07-24T04:00:27.7940850Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2perform.html
2025-07-24T04:00:27.7941770Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy_with_tables.html
2025-07-24T04:00:27.7942430Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2jit.html
2025-07-24T04:00:27.7943230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2serialize.html
2025-07-24T04:00:27.7944110Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create.html
2025-07-24T04:00:27.7944880Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables.html
2025-07-24T04:00:27.7945740Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_assign.html
2025-07-24T04:00:27.7946490Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_bsr.html
2025-07-24T04:00:27.7947350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_create.html
2025-07-24T04:00:27.7948120Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_mark.html
2025-07-24T04:00:27.7949050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_free_unused_memory.html
2025-07-24T04:00:27.7949920Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_character_tables.html
2025-07-24T04:00:27.7950760Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_match_limit.html
2025-07-24T04:00:27.7951670Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_parens_nest_limit.html
2025-07-24T04:00:27.7952360Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2syntax.html
2025-07-24T04:00:27.7953070Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2api.html
2025-07-24T04:00:27.7953970Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_error_message.html
2025-07-24T04:00:27.7954820Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_startchar.html
2025-07-24T04:00:27.7955630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_newline.html
2025-07-24T04:00:27.7956350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2convert.html
2025-07-24T04:00:27.7957240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_count.html
2025-07-24T04:00:27.7958040Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_info.html
2025-07-24T04:00:27.7958890Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables_free.html
2025-07-24T04:00:27.7959710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_escape.html
2025-07-24T04:00:27.7960610Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_pointer.html
2025-07-24T04:00:27.7961360Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy.html
2025-07-24T04:00:27.7962130Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2matching.html
2025-07-24T04:00:27.7963080Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_create.html
2025-07-24T04:00:27.7963740Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2test.html
2025-07-24T04:00:27.7964530Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_dfa_match.html
2025-07-24T04:00:27.7965240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2posix.html
2025-07-24T04:00:27.7966200Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_max_pattern_length.html
2025-07-24T04:00:27.7967050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_encode.html
2025-07-24T04:00:27.7967910Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_limit.html
2025-07-24T04:00:27.7968790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_free.html
2025-07-24T04:00:27.7969730Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_nametable_scan.html
2025-07-24T04:00:27.7970430Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2callout.html
2025-07-24T04:00:27.7971340Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_copy.html
2025-07-24T04:00:27.7972210Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_free.html
2025-07-24T04:00:27.7972930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2build.html
2025-07-24T04:00:27.7973780Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_offset_limit.html
2025-07-24T04:00:27.7974660Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_byname.html
2025-07-24T04:00:27.7975410Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_match.html
2025-07-24T04:00:27.7976340Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_create.html
2025-07-24T04:00:27.7977050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2partial.html
2025-07-24T04:00:27.7977800Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2grep.html
2025-07-24T04:00:27.7978660Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_free.html
2025-07-24T04:00:27.7979550Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_separator.html
2025-07-24T04:00:27.7980270Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2pattern.html
2025-07-24T04:00:27.7981190Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_free.html
2025-07-24T04:00:27.7981890Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2demo.html
2025-07-24T04:00:27.7982960Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_memory_management.html
2025-07-24T04:00:27.7983840Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_create.html
2025-07-24T04:00:27.7984710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_copy.html
2025-07-24T04:00:27.7985760Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_get_number_of_codes.html
2025-07-24T04:00:27.7986670Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_recursion_guard.html
2025-07-24T04:00:27.7987620Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_number_from_name.html
2025-07-24T04:00:27.7988470Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_free.html
2025-07-24T04:00:27.7989350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_copy.html
2025-07-24T04:00:27.7990240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_match_data_size.html
2025-07-24T04:00:27.7991150Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_byname.html
2025-07-24T04:00:27.7992090Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_bynumber.html
2025-07-24T04:00:27.7992850Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_compile.html
2025-07-24T04:00:27.7993710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_decode.html
2025-07-24T04:00:27.7994570Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_copy.html
2025-07-24T04:00:27.7995300Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile.html
2025-07-24T04:00:27.7996150Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_free.html
2025-07-24T04:00:27.7996870Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2limits.html
2025-07-24T04:00:27.7997620Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2-config.html
2025-07-24T04:00:27.7998420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substitute.html
2025-07-24T04:00:27.7999140Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match.html
2025-07-24T04:00:27.8000140Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_extra_options.html
2025-07-24T04:00:27.8000940Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_free.html
2025-07-24T04:00:27.8001870Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_bynumber.html
2025-07-24T04:00:27.8002630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_callout.html
2025-07-24T04:00:27.8003580Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_byname.html
2025-07-24T04:00:27.8004420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_get.html
2025-07-24T04:00:27.8005330Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_create.html
2025-07-24T04:00:27.8005900Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconvctl.3.html
2025-07-24T04:00:27.8006600Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open_into.3.html
2025-07-24T04:00:27.8007260Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open.3.html
2025-07-24T04:00:27.8007830Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv.1.html
2025-07-24T04:00:27.8008360Z /opt/homebrew/Caskroom/miniconda/base/share/et/et_c.awk
2025-07-24T04:00:27.8008900Z /opt/homebrew/Caskroom/miniconda/base/share/et/et_h.awk
2025-07-24T04:00:27.8009550Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/install-sh
2025-07-24T04:00:27.8010140Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/LICENSE
2025-07-24T04:00:27.8010850Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/config/mh-darwin
2025-07-24T04:00:27.8011520Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/mkinstalldirs
2025-07-24T04:00:28.8690350Z ==> Uninstalling Cask miniconda
2025-07-24T04:00:28.8690640Z ==> Removing files:
2025-07-24T04:00:28.8690850Z /opt/homebrew/Caskroom/miniconda/base
2025-07-24T04:00:30.8062510Z ==> Unlinking Binary '/opt/homebrew/bin/conda'
2025-07-24T04:00:30.8068370Z ==> Purging files for version py313_25.5.1-1 of Cask miniconda
2025-07-24T04:00:30.8746860Z ##[group]Run for dir in  ~/.local/lib/python3.*/site-packages; do
2025-07-24T04:00:30.8747170Z for dir in  ~/.local/lib/python3.*/site-packages; do
2025-07-24T04:00:30.8747400Z   echo "Cleaning up ${dir}"
2025-07-24T04:00:30.8747580Z   rm -rf "${dir}"
2025-07-24T04:00:30.8747720Z done
2025-07-24T04:00:30.8759690Z shell: /bin/bash -e -l {0}
2025-07-24T04:00:30.8759840Z env:
2025-07-24T04:00:30.8759960Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:30.8760120Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:30.8760280Z   TEST_CONFIG: default
2025-07-24T04:00:30.8760410Z   SHARD_NUMBER: 1
2025-07-24T04:00:30.8760530Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:30.8760650Z   PR_BODY: 
2025-07-24T04:00:30.8760780Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:30.8760930Z ##[endgroup]
2025-07-24T04:00:31.7490430Z Cleaning up /Users/ec2-user/.local/lib/python3.*/site-packages
2025-07-24T04:00:31.7566550Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-07-24T04:00:31.7566810Z with:
2025-07-24T04:00:31.7566950Z   minimum-available-space-in-gb: 6
2025-07-24T04:00:31.7567120Z env:
2025-07-24T04:00:31.7567250Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:31.7567430Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:31.7567610Z   TEST_CONFIG: default
2025-07-24T04:00:31.7567750Z   SHARD_NUMBER: 1
2025-07-24T04:00:31.7567880Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:31.7568030Z   PR_BODY: 
2025-07-24T04:00:31.7568170Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:31.7568330Z ##[endgroup]
2025-07-24T04:00:31.7613320Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-07-24T04:00:31.7613700Z echo "Print the available disk space for manual inspection"
2025-07-24T04:00:31.7613950Z df -h
2025-07-24T04:00:31.7614110Z 
2025-07-24T04:00:31.7614250Z function check_disk_space() {
2025-07-24T04:00:31.7614450Z   set +e
2025-07-24T04:00:31.7614580Z 
2025-07-24T04:00:31.7614750Z   # Set the minimum requirement space to 6GB
2025-07-24T04:00:31.7615060Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-07-24T04:00:31.7615340Z 
2025-07-24T04:00:31.7615520Z   # Use KB to avoid floating point warning like 3.1GB
2025-07-24T04:00:31.7615780Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-07-24T04:00:31.7615990Z   do
2025-07-24T04:00:31.7616140Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-07-24T04:00:31.7616370Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-07-24T04:00:31.7616550Z 
2025-07-24T04:00:31.7616690Z     if [ "${MOUNT}" = "/" ]; then
2025-07-24T04:00:31.7617000Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-07-24T04:00:31.7617520Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-07-24T04:00:31.7617970Z       else
2025-07-24T04:00:31.7618260Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-07-24T04:00:31.7618590Z       fi
2025-07-24T04:00:31.7618720Z     fi
2025-07-24T04:00:31.7618850Z   done
2025-07-24T04:00:31.7618980Z 
2025-07-24T04:00:31.7619100Z   set -e
2025-07-24T04:00:31.7619240Z }
2025-07-24T04:00:31.7619350Z 
2025-07-24T04:00:31.7619480Z RESULT=$(check_disk_space)
2025-07-24T04:00:31.7619670Z echo "${RESULT}"
2025-07-24T04:00:31.7619810Z 
2025-07-24T04:00:31.7619990Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-07-24T04:00:31.7620530Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-07-24T04:00:31.7621000Z   # https://github.com/pytorch/pytorch/issues/85440
2025-07-24T04:00:31.7621330Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-07-24T04:00:31.7621810Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-07-24T04:00:31.7622250Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-07-24T04:00:31.7622480Z 
2025-07-24T04:00:31.7622630Z   # Clean up crash reports on the runner
2025-07-24T04:00:31.7622920Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-07-24T04:00:31.7623180Z 
2025-07-24T04:00:31.7623350Z   # Also try to clean up torch.hub caching directory
2025-07-24T04:00:31.7623620Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-07-24T04:00:31.7624000Z 
2025-07-24T04:00:31.7624140Z   # Purge conda
2025-07-24T04:00:31.7624300Z   conda clean -p -t -y || true
2025-07-24T04:00:31.7624500Z   # and pip cache
2025-07-24T04:00:31.7624680Z   pip cache purge || true
2025-07-24T04:00:31.7624840Z 
2025-07-24T04:00:31.7625030Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-07-24T04:00:31.7625300Z   # Re-run the check
2025-07-24T04:00:31.7625460Z   RESULT=$(check_disk_space)
2025-07-24T04:00:31.7625640Z   echo "${RESULT}"
2025-07-24T04:00:31.7625790Z fi
2025-07-24T04:00:31.7625910Z 
2025-07-24T04:00:31.7626040Z if [[ "${RESULT}" == *Failure* ]]; then
2025-07-24T04:00:31.7626250Z   df -h
2025-07-24T04:00:31.7626370Z 
2025-07-24T04:00:31.7626790Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-07-24T04:00:31.7627250Z   exit 1
2025-07-24T04:00:31.7627380Z fi
2025-07-24T04:00:31.7638840Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:00:31.7639050Z env:
2025-07-24T04:00:31.7639180Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:31.7639350Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:31.7639530Z   TEST_CONFIG: default
2025-07-24T04:00:31.7639670Z   SHARD_NUMBER: 1
2025-07-24T04:00:31.7639800Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:31.7639970Z   PR_BODY: 
2025-07-24T04:00:31.7640110Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:31.7640280Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-07-24T04:00:31.7640470Z ##[endgroup]
2025-07-24T04:00:31.7828000Z Print the available disk space for manual inspection
2025-07-24T04:00:31.7841320Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-07-24T04:00:31.7841830Z /dev/disk5s2s1   256Gi   9.5Gi   174Gi     6%    404k  1.8G    0%   /
2025-07-24T04:00:31.7842170Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-07-24T04:00:31.7842510Z /dev/disk5s5     256Gi   1.0Gi   174Gi     1%       1  1.8G    0%   /System/Volumes/VM
2025-07-24T04:00:31.7842870Z /dev/disk5s3     256Gi   5.7Gi   174Gi     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-07-24T04:00:31.7843250Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-07-24T04:00:31.7843630Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-07-24T04:00:31.7844010Z /dev/disk1s3     500Mi   872Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-07-24T04:00:31.7844370Z /dev/disk5s1     256Gi    65Gi   174Gi    28%    2.7M  1.8G    0%   /System/Volumes/Data
2025-07-24T04:00:31.7844750Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-07-24T04:00:31.7845200Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-dYoGYX
2025-07-24T04:00:31.8222640Z Success: There is 182269968KB free space left in / for macOS, continue
2025-07-24T04:00:31.8294710Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-07-24T04:00:31.8294960Z with:
2025-07-24T04:00:31.8295090Z   submodules: recursive
2025-07-24T04:00:31.8295240Z   fetch-depth: 0
2025-07-24T04:00:31.8295370Z env:
2025-07-24T04:00:31.8295490Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:31.8295670Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:31.8295850Z   TEST_CONFIG: default
2025-07-24T04:00:31.8295990Z   SHARD_NUMBER: 1
2025-07-24T04:00:31.8296140Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:31.8296270Z   PR_BODY: 
2025-07-24T04:00:31.8296400Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:31.8296550Z ##[endgroup]
2025-07-24T04:00:31.8318000Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-24T04:00:31.8318550Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-07-24T04:00:31.8330240Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:00:31.8330450Z env:
2025-07-24T04:00:31.8330560Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:31.8330710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:31.8330870Z   TEST_CONFIG: default
2025-07-24T04:00:31.8331010Z   SHARD_NUMBER: 1
2025-07-24T04:00:31.8331140Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:31.8331260Z   PR_BODY: 
2025-07-24T04:00:31.8331380Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:31.8331540Z ##[endgroup]
2025-07-24T04:00:31.8571250Z ##[group]Run # Use all available CPUs for fetching
2025-07-24T04:00:31.8571550Z # Use all available CPUs for fetching
2025-07-24T04:00:31.8571750Z cd "${GITHUB_WORKSPACE}"
2025-07-24T04:00:31.8571990Z git config --global fetch.parallel 0
2025-07-24T04:00:31.8572230Z git config --global submodule.fetchJobs 0
2025-07-24T04:00:31.8572420Z 
2025-07-24T04:00:31.8572680Z # Clean workspace. The default checkout action should also do this, but
2025-07-24T04:00:31.8572960Z # do it here as well just in case
2025-07-24T04:00:31.8573150Z if [[ -d .git ]]; then
2025-07-24T04:00:31.8573340Z   if [ -z "${NO_SUDO}" ]; then
2025-07-24T04:00:31.8573530Z     sudo git clean -ffdx
2025-07-24T04:00:31.8573700Z   else
2025-07-24T04:00:31.8573830Z     git clean -ffdx
2025-07-24T04:00:31.8574000Z   fi
2025-07-24T04:00:31.8574120Z fi
2025-07-24T04:00:31.8585010Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:00:31.8585220Z env:
2025-07-24T04:00:31.8585360Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:31.8585530Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:31.8585770Z   TEST_CONFIG: default
2025-07-24T04:00:31.8585910Z   SHARD_NUMBER: 1
2025-07-24T04:00:31.8586060Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:31.8586200Z   PR_BODY: 
2025-07-24T04:00:31.8586330Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:31.8586500Z   NO_SUDO: 
2025-07-24T04:00:31.8586620Z ##[endgroup]
2025-07-24T04:00:34.2977030Z Removing .additional_ci_files/
2025-07-24T04:00:34.2977280Z Removing artifacts.zip
2025-07-24T04:00:34.2977870Z Removing aten/src/ATen/Config.h
2025-07-24T04:00:34.2978100Z Removing build/
2025-07-24T04:00:34.2978920Z Removing compile_commands.json
2025-07-24T04:00:34.2979460Z Removing dist/
2025-07-24T04:00:34.2979940Z Removing functorch/functorch.so
2025-07-24T04:00:34.2980220Z Removing sccache-stats-macos-py3-arm64-46614499405.json
2025-07-24T04:00:34.2980490Z Removing third_party/__pycache__/
2025-07-24T04:00:34.2980700Z Removing third_party/nccl/
2025-07-24T04:00:34.2980880Z Removing tools/__pycache__/
2025-07-24T04:00:34.2981070Z Removing tools/autograd/__pycache__/
2025-07-24T04:00:34.2981470Z Removing tools/pyi/__pycache__/
2025-07-24T04:00:34.2981670Z Removing tools/setup_helpers/__pycache__/
2025-07-24T04:00:34.2981890Z Removing tools/shared/_utils_internal.py
2025-07-24T04:00:34.2982630Z Removing tools/stats/__pycache__/
2025-07-24T04:00:34.2982840Z Removing torch.egg-info/
2025-07-24T04:00:34.2983040Z Removing torch/_C/_VariableFunctions.pyi
2025-07-24T04:00:34.2983250Z Removing torch/_C/__init__.pyi
2025-07-24T04:00:34.2983450Z Removing torch/_C/_nn.pyi
2025-07-24T04:00:34.2983620Z Removing torch/_VF.pyi
2025-07-24T04:00:34.2983780Z Removing torch/__pycache__/
2025-07-24T04:00:34.2983970Z Removing torch/bin/
2025-07-24T04:00:34.2984150Z Removing torch/csrc/api/include/torch/version.h
2025-07-24T04:00:34.2984400Z Removing torch/csrc/autograd/generated/
2025-07-24T04:00:34.2984690Z Removing torch/csrc/inductor/aoti_torch/generated/c_shim_cpu.cpp
2025-07-24T04:00:34.2985030Z Removing torch/csrc/inductor/aoti_torch/generated/c_shim_cuda.cpp
2025-07-24T04:00:34.2985370Z Removing torch/csrc/inductor/aoti_torch/generated/c_shim_mps.cpp
2025-07-24T04:00:34.2985670Z Removing torch/csrc/lazy/generated/LazyIr.h
2025-07-24T04:00:34.2985940Z Removing torch/csrc/lazy/generated/LazyNativeFunctions.cpp
2025-07-24T04:00:34.2986240Z Removing torch/csrc/lazy/generated/LazyNativeFunctions.h
2025-07-24T04:00:34.2986520Z Removing torch/csrc/lazy/generated/LazyNonNativeIr.h
2025-07-24T04:00:34.2986880Z Removing torch/csrc/lazy/generated/RegisterAutogradLazy.cpp
2025-07-24T04:00:34.2987190Z Removing torch/csrc/lazy/generated/RegisterLazy.cpp
2025-07-24T04:00:34.2987420Z Removing torch/include/
2025-07-24T04:00:34.2987600Z Removing torch/lib/cmake/
2025-07-24T04:00:34.2987780Z Removing torch/lib/libXNNPACK.a
2025-07-24T04:00:34.2987960Z Removing torch/lib/libc10.dylib
2025-07-24T04:00:34.2988150Z Removing torch/lib/libclog.a
2025-07-24T04:00:34.2988320Z Removing torch/lib/libcpuinfo.a
2025-07-24T04:00:34.2988500Z Removing torch/lib/libfmt.a
2025-07-24T04:00:34.2988680Z Removing torch/lib/libkineto.a
2025-07-24T04:00:34.2988870Z Removing torch/lib/libkleidiai.a
2025-07-24T04:00:34.2989080Z Removing torch/lib/libmicrokernels-prod.a
2025-07-24T04:00:34.2989280Z Removing torch/lib/libnnpack.a
2025-07-24T04:00:34.2989470Z Removing torch/lib/libprotobuf-lite.a
2025-07-24T04:00:34.2989670Z Removing torch/lib/libprotobuf.a
2025-07-24T04:00:34.2989850Z Removing torch/lib/libprotoc.a
2025-07-24T04:00:34.2990040Z Removing torch/lib/libpthreadpool.a
2025-07-24T04:00:34.2990240Z Removing torch/lib/libpytorch_qnnpack.a
2025-07-24T04:00:34.2990440Z Removing torch/lib/libshm.dylib
2025-07-24T04:00:34.2990620Z Removing torch/lib/libsleef.a
2025-07-24T04:00:34.2990790Z Removing torch/lib/libtorch.dylib
2025-07-24T04:00:34.2990970Z Removing torch/lib/libtorch_cpu.dylib
2025-07-24T04:00:34.2991180Z Removing torch/lib/libtorch_global_deps.dylib
2025-07-24T04:00:34.2991390Z Removing torch/lib/libtorch_python.dylib
2025-07-24T04:00:34.2991590Z Removing torch/lib/pkgconfig/
2025-07-24T04:00:34.2991830Z Removing torch/nn/functional.pyi
2025-07-24T04:00:34.2992020Z Removing torch/return_types.pyi
2025-07-24T04:00:34.2992180Z Removing torch/share/
2025-07-24T04:00:34.2992400Z Removing torch/testing/_internal/generated/annotated_fn_args.py
2025-07-24T04:00:34.2992720Z Removing torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h
2025-07-24T04:00:34.2993030Z Removing torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h
2025-07-24T04:00:34.2993290Z Removing torch/utils/data/datapipes/datapipe.pyi
2025-07-24T04:00:34.2993510Z Removing torch/version.py
2025-07-24T04:00:34.2993670Z Removing torchgen/__pycache__/
2025-07-24T04:00:34.2993840Z Removing torchgen/aoti/__pycache__/
2025-07-24T04:00:34.2994040Z Removing torchgen/api/__pycache__/
2025-07-24T04:00:34.2994220Z Removing torchgen/api/types/__pycache__/
2025-07-24T04:00:34.2994410Z Removing torchgen/dest/__pycache__/
2025-07-24T04:00:34.2994600Z Removing torchgen/packaged/
2025-07-24T04:00:34.2994780Z Removing torchgen/selective_build/__pycache__/
2025-07-24T04:00:34.3045350Z ##[group]Run actions/checkout@v4
2025-07-24T04:00:34.3045520Z with:
2025-07-24T04:00:34.3045670Z   ref: 27c8ef1839e0747b36769efb192befc9308ff93c
2025-07-24T04:00:34.3045870Z   fetch-depth: 0
2025-07-24T04:00:34.3046000Z   submodules: recursive
2025-07-24T04:00:34.3046430Z   show-progress: false
2025-07-24T04:00:34.3046600Z   repository: pytorch/pytorch
2025-07-24T04:00:34.3046820Z   token: ***
2025-07-24T04:00:34.3046940Z   ssh-strict: true
2025-07-24T04:00:34.3047080Z   ssh-user: git
2025-07-24T04:00:34.3047220Z   persist-credentials: true
2025-07-24T04:00:34.3047370Z   clean: true
2025-07-24T04:00:34.3047510Z   sparse-checkout-cone-mode: true
2025-07-24T04:00:34.3047680Z   fetch-tags: false
2025-07-24T04:00:34.3047800Z   lfs: false
2025-07-24T04:00:34.3047910Z   set-safe-directory: true
2025-07-24T04:00:34.3048050Z env:
2025-07-24T04:00:34.3048150Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:34.3048310Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:34.3048480Z   TEST_CONFIG: default
2025-07-24T04:00:34.3048610Z   SHARD_NUMBER: 1
2025-07-24T04:00:34.3048720Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:34.3048850Z   PR_BODY: 
2025-07-24T04:00:34.3048960Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:34.3049100Z ##[endgroup]
2025-07-24T04:00:34.3913440Z Syncing repository: pytorch/pytorch
2025-07-24T04:00:34.3914390Z ##[group]Getting Git version info
2025-07-24T04:00:34.3914670Z Working directory is '/Users/ec2-user/runner/_work/pytorch/pytorch'
2025-07-24T04:00:34.3915070Z [command]/usr/bin/git version
2025-07-24T04:00:34.3951660Z git version 2.39.3 (Apple Git-146)
2025-07-24T04:00:34.3965600Z ##[endgroup]
2025-07-24T04:00:34.3970870Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/615d37fc-d82d-4bf6-bde6-51abcd59061c/.gitconfig'
2025-07-24T04:00:34.3976820Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/615d37fc-d82d-4bf6-bde6-51abcd59061c' before making global git config changes
2025-07-24T04:00:34.3977430Z Adding repository directory to the temporary git global config as a safe directory
2025-07-24T04:00:34.3983840Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-07-24T04:00:34.4054260Z [command]/usr/bin/git config --local --get remote.origin.url
2025-07-24T04:00:34.4107990Z https://github.com/pytorch/pytorch
2025-07-24T04:00:34.4116590Z ##[group]Removing previously created refs, to avoid conflicts
2025-07-24T04:00:34.4118760Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-07-24T04:00:34.4170950Z HEAD
2025-07-24T04:00:34.4238030Z ##[endgroup]
2025-07-24T04:00:34.4239970Z [command]/usr/bin/git submodule status
2025-07-24T04:00:34.4791770Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-07-24T04:00:34.4955150Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-07-24T04:00:34.5104490Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-07-24T04:00:34.5268280Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-07-24T04:00:34.5340180Z  2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16)
2025-07-24T04:00:34.5451220Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-07-24T04:00:34.6005480Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-07-24T04:00:34.6060040Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-07-24T04:00:34.6117800Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-07-24T04:00:34.6177290Z  434d19f696da62c12b5372b32cbc9ba968588d7e third_party/composable_kernel (rocm-6.4.2-172-g434d19f69)
2025-07-24T04:00:34.6333670Z  3af7f2c16147f3fbc6e4d717032daf505dc1652c third_party/cpp-httplib (v0.20.1)
2025-07-24T04:00:34.6510060Z  5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244)
2025-07-24T04:00:34.6565410Z  f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055)
2025-07-24T04:00:34.6681700Z  b995f933179c22d3fe0d871c3a53d11e4681950f third_party/cutlass (v4.0.0)
2025-07-24T04:00:34.6746270Z  157e88b750c452bef2ab4653fe9d1eeb151ce4c3 third_party/fbgemm (v1.2.0-186-g157e88b7)
2025-07-24T04:00:34.6855980Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-07-24T04:00:34.6896930Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-07-24T04:00:34.7298090Z  40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0)
2025-07-24T04:00:34.7480610Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-07-24T04:00:34.7670370Z  c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02)
2025-07-24T04:00:34.7898080Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-07-24T04:00:34.8016210Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-07-24T04:00:34.8104590Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-07-24T04:00:34.8390940Z  5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018)
2025-07-24T04:00:34.8432700Z  cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0)
2025-07-24T04:00:34.8480520Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-07-24T04:00:34.8534430Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
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2025-07-24T04:00:34.9466190Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-07-24T04:00:34.9574300Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
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2025-07-24T04:00:34.9807110Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-07-24T04:00:34.9923770Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-07-24T04:00:35.0072710Z  52791a2fd214b2a9dc5759d36725909c1daa7f2e third_party/tensorpipe (remotes/origin/master)
2025-07-24T04:00:35.0080610Z ##[group]Cleaning the repository
2025-07-24T04:00:35.0083410Z [command]/usr/bin/git clean -ffdx
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2025-07-24T04:00:35.1085510Z [command]/usr/bin/git config --local gc.auto 0
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2025-07-24T04:00:35.9695250Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-07-24T04:00:36.7927690Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-07-24T04:00:36.7996610Z ##[endgroup]
2025-07-24T04:00:36.7996880Z ##[group]Fetching the repository
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2025-07-24T04:00:38.2863300Z From https://github.com/pytorch/pytorch
2025-07-24T04:00:38.2863930Z    67d3299aa9b..b06d46043b7  gh/Sidharth123-cpu/44/head -> origin/gh/Sidharth123-cpu/44/head
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2025-07-24T04:00:38.2921920Z  t [tag update]              ciflow/inductor/159011 -> ciflow/inductor/159011
2025-07-24T04:00:38.4348220Z [command]/usr/bin/git rev-parse --verify --quiet 27c8ef1839e0747b36769efb192befc9308ff93c^{object}
2025-07-24T04:00:38.4410510Z 27c8ef1839e0747b36769efb192befc9308ff93c
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2025-07-24T04:00:38.7298620Z Previous HEAD position was c86ecb1fa2f Update
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2025-07-24T04:00:38.8308100Z Synchronizing submodule url for 'third_party/XNNPACK'
2025-07-24T04:00:38.8349960Z Synchronizing submodule url for 'third_party/aiter'
2025-07-24T04:00:38.8386320Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T04:00:38.8427540Z Synchronizing submodule url for 'third_party/benchmark'
2025-07-24T04:00:38.8466690Z Synchronizing submodule url for 'third_party/composable_kernel'
2025-07-24T04:00:38.8506150Z Synchronizing submodule url for 'third_party/cpp-httplib'
2025-07-24T04:00:38.8543260Z Synchronizing submodule url for 'third_party/cpuinfo'
2025-07-24T04:00:38.8580040Z Synchronizing submodule url for 'third_party/cudnn_frontend'
2025-07-24T04:00:38.8617160Z Synchronizing submodule url for 'third_party/cutlass'
2025-07-24T04:00:38.8657840Z Synchronizing submodule url for 'third_party/fbgemm'
2025-07-24T04:00:38.8693490Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit'
2025-07-24T04:00:38.8730880Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel'
2025-07-24T04:00:38.8769540Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo'
2025-07-24T04:00:38.8807280Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass'
2025-07-24T04:00:38.8846800Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest'
2025-07-24T04:00:38.8884040Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch'
2025-07-24T04:00:38.8920270Z Synchronizing submodule url for 'third_party/fbgemm/external/json'
2025-07-24T04:00:38.8960480Z Synchronizing submodule url for 'third_party/flash-attention'
2025-07-24T04:00:38.8996260Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T04:00:38.9034250Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass'
2025-07-24T04:00:38.9076260Z Synchronizing submodule url for 'third_party/flatbuffers'
2025-07-24T04:00:38.9115520Z Synchronizing submodule url for 'third_party/fmt'
2025-07-24T04:00:38.9153430Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp'
2025-07-24T04:00:38.9190520Z Synchronizing submodule url for 'third_party/gloo'
2025-07-24T04:00:38.9227440Z Synchronizing submodule url for 'third_party/googletest'
2025-07-24T04:00:38.9264700Z Synchronizing submodule url for 'third_party/ideep'
2025-07-24T04:00:38.9298480Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn'
2025-07-24T04:00:38.9340310Z Synchronizing submodule url for 'third_party/ittapi'
2025-07-24T04:00:38.9378300Z Synchronizing submodule url for 'third_party/kineto'
2025-07-24T04:00:38.9413200Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T04:00:38.9447650Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T04:00:38.9485150Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T04:00:38.9522530Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T04:00:38.9559960Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T04:00:38.9595150Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T04:00:38.9634290Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T04:00:38.9671910Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T04:00:38.9709250Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T04:00:38.9746330Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T04:00:38.9785000Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T04:00:38.9822390Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T04:00:38.9860810Z Synchronizing submodule url for 'third_party/kleidiai'
2025-07-24T04:00:38.9899020Z Synchronizing submodule url for 'third_party/mimalloc'
2025-07-24T04:00:38.9936450Z Synchronizing submodule url for 'third_party/nlohmann'
2025-07-24T04:00:38.9974140Z Synchronizing submodule url for 'third_party/onnx'
2025-07-24T04:00:39.0015380Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11'
2025-07-24T04:00:39.0056780Z Synchronizing submodule url for 'third_party/opentelemetry-cpp'
2025-07-24T04:00:39.0092940Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T04:00:39.0130530Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T04:00:39.0167050Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T04:00:39.0203190Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T04:00:39.0240020Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T04:00:39.0277310Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T04:00:39.0314330Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T04:00:39.0349200Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T04:00:39.0386860Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-07-24T04:00:39.0425140Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-07-24T04:00:39.0472710Z Synchronizing submodule url for 'third_party/pocketfft'
2025-07-24T04:00:39.0511520Z Synchronizing submodule url for 'third_party/protobuf'
2025-07-24T04:00:39.0546660Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark'
2025-07-24T04:00:39.0582970Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest'
2025-07-24T04:00:39.0622320Z Synchronizing submodule url for 'third_party/psimd'
2025-07-24T04:00:39.0659750Z Synchronizing submodule url for 'third_party/pthreadpool'
2025-07-24T04:00:39.0696970Z Synchronizing submodule url for 'third_party/pybind11'
2025-07-24T04:00:39.0734140Z Synchronizing submodule url for 'third_party/python-peachpy'
2025-07-24T04:00:39.0771500Z Synchronizing submodule url for 'third_party/sleef'
2025-07-24T04:00:39.0809030Z Synchronizing submodule url for 'third_party/tensorpipe'
2025-07-24T04:00:39.0843990Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest'
2025-07-24T04:00:39.0880780Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop'
2025-07-24T04:00:39.0916860Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv'
2025-07-24T04:00:39.0952960Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T04:00:39.0987700Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T04:00:39.1032020Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-07-24T04:00:39.1667910Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-07-24T04:00:39.1829500Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-07-24T04:00:39.1982690Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-07-24T04:00:39.2141140Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-07-24T04:00:39.2309340Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-07-24T04:00:39.2470260Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-07-24T04:00:39.2773210Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-07-24T04:00:39.2986020Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-07-24T04:00:39.3251530Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-07-24T04:00:39.3423610Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-07-24T04:00:39.3689180Z Submodule path 'third_party/composable_kernel': checked out '434d19f696da62c12b5372b32cbc9ba968588d7e'
2025-07-24T04:00:39.3864480Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-07-24T04:00:39.4031460Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-07-24T04:00:39.4204890Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-07-24T04:00:39.4444240Z Submodule path 'third_party/cutlass': checked out 'b995f933179c22d3fe0d871c3a53d11e4681950f'
2025-07-24T04:00:39.4663240Z Submodule path 'third_party/fbgemm': checked out '157e88b750c452bef2ab4653fe9d1eeb151ce4c3'
2025-07-24T04:00:39.4862590Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'e5d7c0bd5d9aec44d68830187138149e6a8c4e32'
2025-07-24T04:00:39.5087870Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '4a61bdd4bd4ed730e078aebc7c0fcf046ff29406'
2025-07-24T04:00:39.5283350Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-07-24T04:00:39.5584780Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '3ed8d2ec4ba35ef5d9d8353826209b6f868f63d3'
2025-07-24T04:00:39.5859260Z Submodule path 'third_party/fbgemm/external/googletest': checked out 'f8d7d77c06936315286eb55f8de22cd23c188571'
2025-07-24T04:00:39.6065340Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-07-24T04:00:39.6258560Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-07-24T04:00:39.6446650Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-07-24T04:00:39.6700370Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-07-24T04:00:39.6964700Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-07-24T04:00:39.7172130Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-07-24T04:00:39.7340460Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-07-24T04:00:39.7797220Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-07-24T04:00:39.7965720Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-07-24T04:00:39.8124740Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-07-24T04:00:39.8287940Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-07-24T04:00:39.8596020Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-07-24T04:00:39.8766760Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-07-24T04:00:39.8943400Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-07-24T04:00:39.9181530Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-07-24T04:00:39.9356050Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-07-24T04:00:39.9522510Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-07-24T04:00:39.9697640Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-07-24T04:00:39.9878670Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-07-24T04:00:40.0035290Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-07-24T04:00:40.0201850Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-07-24T04:00:40.0373950Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-07-24T04:00:40.0564040Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-07-24T04:00:40.0724120Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-07-24T04:00:40.0891540Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-07-24T04:00:40.1056450Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-07-24T04:00:40.1229800Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-07-24T04:00:40.1414090Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-07-24T04:00:40.1599190Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-07-24T04:00:40.1916360Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-07-24T04:00:40.2114350Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-07-24T04:00:40.2318470Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-07-24T04:00:40.2480050Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-07-24T04:00:40.2653450Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-07-24T04:00:40.2820280Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-07-24T04:00:40.3015890Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-07-24T04:00:40.3179290Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-07-24T04:00:40.3345600Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-07-24T04:00:40.3522540Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-07-24T04:00:40.3706040Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-07-24T04:00:40.3871820Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-07-24T04:00:40.4192660Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-07-24T04:00:40.4366620Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-07-24T04:00:40.4652180Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-07-24T04:00:40.4838120Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-07-24T04:00:40.5011470Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-07-24T04:00:40.5168950Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-07-24T04:00:40.5323180Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-07-24T04:00:40.5499720Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-07-24T04:00:40.5655230Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-07-24T04:00:40.5816300Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-07-24T04:00:40.5983740Z Submodule path 'third_party/tensorpipe': checked out '52791a2fd214b2a9dc5759d36725909c1daa7f2e'
2025-07-24T04:00:40.6183990Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-07-24T04:00:40.6358930Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-07-24T04:00:40.6601500Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242'
2025-07-24T04:00:40.6778260Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-07-24T04:00:40.6944800Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-07-24T04:00:40.6996540Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-07-24T04:00:40.7495770Z Entering 'android/libs/fbjni'
2025-07-24T04:00:40.7581790Z Entering 'third_party/FP16'
2025-07-24T04:00:40.7663630Z Entering 'third_party/FXdiv'
2025-07-24T04:00:40.7746970Z Entering 'third_party/NNPACK'
2025-07-24T04:00:40.7856840Z Entering 'third_party/NVTX'
2025-07-24T04:00:40.7940830Z Entering 'third_party/VulkanMemoryAllocator'
2025-07-24T04:00:40.8213000Z Entering 'third_party/XNNPACK'
2025-07-24T04:00:40.8301270Z Entering 'third_party/aiter'
2025-07-24T04:00:40.8383800Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T04:00:40.8468120Z Entering 'third_party/benchmark'
2025-07-24T04:00:40.8550230Z Entering 'third_party/composable_kernel'
2025-07-24T04:00:40.8633330Z Entering 'third_party/cpp-httplib'
2025-07-24T04:00:40.8716310Z Entering 'third_party/cpuinfo'
2025-07-24T04:00:40.8797550Z Entering 'third_party/cudnn_frontend'
2025-07-24T04:00:40.8879280Z Entering 'third_party/cutlass'
2025-07-24T04:00:40.8963960Z Entering 'third_party/fbgemm'
2025-07-24T04:00:40.9047120Z Entering 'third_party/fbgemm/external/asmjit'
2025-07-24T04:00:40.9128640Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-07-24T04:00:40.9211940Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-07-24T04:00:40.9294180Z Entering 'third_party/fbgemm/external/cutlass'
2025-07-24T04:00:40.9378570Z Entering 'third_party/fbgemm/external/googletest'
2025-07-24T04:00:40.9461700Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-07-24T04:00:40.9542520Z Entering 'third_party/fbgemm/external/json'
2025-07-24T04:00:40.9625490Z Entering 'third_party/flash-attention'
2025-07-24T04:00:40.9708180Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T04:00:40.9791250Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-07-24T04:00:40.9877890Z Entering 'third_party/flatbuffers'
2025-07-24T04:00:40.9962230Z Entering 'third_party/fmt'
2025-07-24T04:00:41.0043830Z Entering 'third_party/gemmlowp/gemmlowp'
2025-07-24T04:00:41.0126550Z Entering 'third_party/gloo'
2025-07-24T04:00:41.0209290Z Entering 'third_party/googletest'
2025-07-24T04:00:41.0292370Z Entering 'third_party/ideep'
2025-07-24T04:00:41.0373060Z Entering 'third_party/ideep/mkl-dnn'
2025-07-24T04:00:41.0457530Z Entering 'third_party/ittapi'
2025-07-24T04:00:41.0540250Z Entering 'third_party/kineto'
2025-07-24T04:00:41.0620400Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T04:00:41.0700240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T04:00:41.0782310Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T04:00:41.0864690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T04:00:41.0946910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T04:00:41.1027560Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T04:00:41.1111240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T04:00:41.1194830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T04:00:41.1276780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T04:00:41.1359080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T04:00:41.1442980Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T04:00:41.1524850Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T04:00:41.1607960Z Entering 'third_party/kleidiai'
2025-07-24T04:00:41.1691840Z Entering 'third_party/mimalloc'
2025-07-24T04:00:41.1773430Z Entering 'third_party/nlohmann'
2025-07-24T04:00:41.1854540Z Entering 'third_party/onnx'
2025-07-24T04:00:41.1941060Z Entering 'third_party/onnx/third_party/pybind11'
2025-07-24T04:00:41.2026790Z Entering 'third_party/opentelemetry-cpp'
2025-07-24T04:00:41.2108800Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T04:00:41.2190110Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T04:00:41.2271120Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T04:00:41.2353020Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T04:00:41.2435270Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T04:00:41.2516940Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T04:00:41.2597110Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T04:00:41.2676680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T04:00:41.2759500Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-07-24T04:00:41.2842110Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-07-24T04:00:41.2932820Z Entering 'third_party/pocketfft'
2025-07-24T04:00:41.3017620Z Entering 'third_party/protobuf'
2025-07-24T04:00:41.3098830Z Entering 'third_party/protobuf/third_party/benchmark'
2025-07-24T04:00:41.3180460Z Entering 'third_party/protobuf/third_party/googletest'
2025-07-24T04:00:41.3262790Z Entering 'third_party/psimd'
2025-07-24T04:00:41.3345650Z Entering 'third_party/pthreadpool'
2025-07-24T04:00:41.3427140Z Entering 'third_party/pybind11'
2025-07-24T04:00:41.3509040Z Entering 'third_party/python-peachpy'
2025-07-24T04:00:41.3590380Z Entering 'third_party/sleef'
2025-07-24T04:00:41.3671780Z Entering 'third_party/tensorpipe'
2025-07-24T04:00:41.3751910Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-07-24T04:00:41.3937670Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-07-24T04:00:41.4143710Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-07-24T04:00:41.4227700Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T04:00:41.4307130Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T04:00:41.4400290Z ##[endgroup]
2025-07-24T04:00:41.4400590Z ##[group]Persisting credentials for submodules
2025-07-24T04:00:41.4402700Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-07-24T04:00:41.4896860Z Entering 'android/libs/fbjni'
2025-07-24T04:00:41.4967080Z url.https://github.com/.insteadof
2025-07-24T04:00:41.4967320Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5032830Z Entering 'third_party/FP16'
2025-07-24T04:00:41.5099080Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5099300Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5164810Z Entering 'third_party/FXdiv'
2025-07-24T04:00:41.5231570Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5231820Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5299380Z Entering 'third_party/NNPACK'
2025-07-24T04:00:41.5365900Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5366130Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5431740Z Entering 'third_party/NVTX'
2025-07-24T04:00:41.5498510Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5498960Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5572470Z Entering 'third_party/VulkanMemoryAllocator'
2025-07-24T04:00:41.5639230Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5639460Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5705230Z Entering 'third_party/XNNPACK'
2025-07-24T04:00:41.5771430Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5771740Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5840660Z Entering 'third_party/aiter'
2025-07-24T04:00:41.5907140Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5907380Z url.https://github.com/.insteadof
2025-07-24T04:00:41.5970200Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T04:00:41.6034210Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6034440Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6102470Z Entering 'third_party/benchmark'
2025-07-24T04:00:41.6171630Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6171850Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6237610Z Entering 'third_party/composable_kernel'
2025-07-24T04:00:41.6303360Z url.https://github.com/.insteadof
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2025-07-24T04:00:41.6370140Z Entering 'third_party/cpp-httplib'
2025-07-24T04:00:41.6435240Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6435460Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6500450Z Entering 'third_party/cpuinfo'
2025-07-24T04:00:41.6564780Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6565030Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6630340Z Entering 'third_party/cudnn_frontend'
2025-07-24T04:00:41.6697640Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6697870Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6763260Z Entering 'third_party/cutlass'
2025-07-24T04:00:41.6830120Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6830340Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6898870Z Entering 'third_party/fbgemm'
2025-07-24T04:00:41.6966600Z url.https://github.com/.insteadof
2025-07-24T04:00:41.6966830Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7032320Z Entering 'third_party/fbgemm/external/asmjit'
2025-07-24T04:00:41.7098650Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7098900Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7163940Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-07-24T04:00:41.7230570Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7230800Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7298800Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-07-24T04:00:41.7367330Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7367750Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7433590Z Entering 'third_party/fbgemm/external/cutlass'
2025-07-24T04:00:41.7500900Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7501120Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7569750Z Entering 'third_party/fbgemm/external/googletest'
2025-07-24T04:00:41.7636980Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7637220Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7703920Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-07-24T04:00:41.7771820Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7772250Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7839370Z Entering 'third_party/fbgemm/external/json'
2025-07-24T04:00:41.7905750Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7905980Z url.https://github.com/.insteadof
2025-07-24T04:00:41.7973890Z Entering 'third_party/flash-attention'
2025-07-24T04:00:41.8041470Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8041700Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8107380Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T04:00:41.8173020Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8173240Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8425100Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-07-24T04:00:41.8496010Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8496240Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8566610Z Entering 'third_party/flatbuffers'
2025-07-24T04:00:41.8633530Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8633930Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8698930Z Entering 'third_party/fmt'
2025-07-24T04:00:41.8763070Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8763290Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8827600Z Entering 'third_party/gemmlowp/gemmlowp'
2025-07-24T04:00:41.8892470Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8892700Z url.https://github.com/.insteadof
2025-07-24T04:00:41.8956700Z Entering 'third_party/gloo'
2025-07-24T04:00:41.9021440Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9022260Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9086090Z Entering 'third_party/googletest'
2025-07-24T04:00:41.9150790Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9151020Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9215420Z Entering 'third_party/ideep'
2025-07-24T04:00:41.9281980Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9282200Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9346470Z Entering 'third_party/ideep/mkl-dnn'
2025-07-24T04:00:41.9411810Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9412030Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9480840Z Entering 'third_party/ittapi'
2025-07-24T04:00:41.9548300Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9548550Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9613740Z Entering 'third_party/kineto'
2025-07-24T04:00:41.9679320Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9679820Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9742780Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T04:00:41.9809450Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9809680Z url.https://github.com/.insteadof
2025-07-24T04:00:41.9874010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T04:00:41.9940330Z url.https://github.com/.insteadof
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2025-07-24T04:00:42.0006970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T04:00:42.0072320Z url.https://github.com/.insteadof
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2025-07-24T04:00:42.0138540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T04:00:42.0203440Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0203660Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0269820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T04:00:42.0337230Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0337520Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0401880Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T04:00:42.0467740Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0468050Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0536360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T04:00:42.0602690Z url.https://github.com/.insteadof
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2025-07-24T04:00:42.0669690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T04:00:42.0736130Z url.https://github.com/.insteadof
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2025-07-24T04:00:42.0802980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T04:00:42.0869370Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0869590Z url.https://github.com/.insteadof
2025-07-24T04:00:42.0936680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T04:00:42.1003630Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1003860Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1072250Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T04:00:42.1138620Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1138840Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1204560Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T04:00:42.1270660Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1270890Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1338740Z Entering 'third_party/kleidiai'
2025-07-24T04:00:42.1406390Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1406630Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1472440Z Entering 'third_party/mimalloc'
2025-07-24T04:00:42.1538280Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1538500Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1609440Z Entering 'third_party/nlohmann'
2025-07-24T04:00:42.1674860Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1675100Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1743840Z Entering 'third_party/onnx'
2025-07-24T04:00:42.1822120Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1822510Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1897460Z Entering 'third_party/onnx/third_party/pybind11'
2025-07-24T04:00:42.1964830Z url.https://github.com/.insteadof
2025-07-24T04:00:42.1970220Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2034400Z Entering 'third_party/opentelemetry-cpp'
2025-07-24T04:00:42.2102610Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2102860Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2167980Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T04:00:42.2235330Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2235550Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2350480Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T04:00:42.2416250Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2416470Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2481990Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T04:00:42.2547550Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2547770Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2612740Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T04:00:42.2678130Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2678360Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2744070Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T04:00:42.2810640Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2810920Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2876660Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T04:00:42.2944370Z url.https://github.com/.insteadof
2025-07-24T04:00:42.2944600Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3041570Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T04:00:42.3107540Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3107760Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3171880Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T04:00:42.3237770Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3238200Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3304490Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-07-24T04:00:42.3370500Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3370750Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3439020Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-07-24T04:00:42.3505860Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3506090Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3580500Z Entering 'third_party/pocketfft'
2025-07-24T04:00:42.3649220Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3715420Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3715660Z Entering 'third_party/protobuf'
2025-07-24T04:00:42.3782260Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3782480Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3847520Z Entering 'third_party/protobuf/third_party/benchmark'
2025-07-24T04:00:42.3915580Z url.https://github.com/.insteadof
2025-07-24T04:00:42.3915970Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4033200Z Entering 'third_party/protobuf/third_party/googletest'
2025-07-24T04:00:42.4099140Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4099360Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4167490Z Entering 'third_party/psimd'
2025-07-24T04:00:42.4233670Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4233900Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4297040Z Entering 'third_party/pthreadpool'
2025-07-24T04:00:42.4360770Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4361000Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4424230Z Entering 'third_party/pybind11'
2025-07-24T04:00:42.4487950Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4488180Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4551460Z Entering 'third_party/python-peachpy'
2025-07-24T04:00:42.4616660Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4616880Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4680180Z Entering 'third_party/sleef'
2025-07-24T04:00:42.4744280Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4744500Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4808300Z Entering 'third_party/tensorpipe'
2025-07-24T04:00:42.4873540Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4874140Z url.https://github.com/.insteadof
2025-07-24T04:00:42.4950100Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-07-24T04:00:42.5013770Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5014000Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5077490Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-07-24T04:00:42.5142470Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5142700Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5206150Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-07-24T04:00:42.5270190Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5270420Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5336140Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T04:00:42.5403210Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5403440Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5466280Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T04:00:42.5529740Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5529970Z url.https://github.com/.insteadof
2025-07-24T04:00:42.5608480Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-07-24T04:00:42.6092510Z Entering 'android/libs/fbjni'
2025-07-24T04:00:42.6189720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-07-24T04:00:42.6223570Z Entering 'third_party/FP16'
2025-07-24T04:00:42.6319820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-07-24T04:00:42.6353730Z Entering 'third_party/FXdiv'
2025-07-24T04:00:42.6450820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-07-24T04:00:42.6485150Z Entering 'third_party/NNPACK'
2025-07-24T04:00:42.6582870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-07-24T04:00:42.6617810Z Entering 'third_party/NVTX'
2025-07-24T04:00:42.6722390Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-07-24T04:00:42.6757120Z Entering 'third_party/VulkanMemoryAllocator'
2025-07-24T04:00:42.6852160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-07-24T04:00:42.6886430Z Entering 'third_party/XNNPACK'
2025-07-24T04:00:42.6982610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-07-24T04:00:42.7021190Z Entering 'third_party/aiter'
2025-07-24T04:00:42.7118730Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-07-24T04:00:42.7152320Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T04:00:42.7248080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-07-24T04:00:42.7285410Z Entering 'third_party/benchmark'
2025-07-24T04:00:42.7382490Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-07-24T04:00:42.7416670Z Entering 'third_party/composable_kernel'
2025-07-24T04:00:42.7511790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-07-24T04:00:42.7547620Z Entering 'third_party/cpp-httplib'
2025-07-24T04:00:42.7643510Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-07-24T04:00:42.7677480Z Entering 'third_party/cpuinfo'
2025-07-24T04:00:42.7774760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-07-24T04:00:42.7809320Z Entering 'third_party/cudnn_frontend'
2025-07-24T04:00:42.7908430Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-07-24T04:00:42.7942900Z Entering 'third_party/cutlass'
2025-07-24T04:00:42.8041050Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-07-24T04:00:42.8078520Z Entering 'third_party/fbgemm'
2025-07-24T04:00:42.8177820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-07-24T04:00:42.8211550Z Entering 'third_party/fbgemm/external/asmjit'
2025-07-24T04:00:42.8309180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-07-24T04:00:42.8343020Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-07-24T04:00:42.8441560Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-07-24T04:00:42.8477490Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-07-24T04:00:42.8575200Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-07-24T04:00:42.8609170Z Entering 'third_party/fbgemm/external/cutlass'
2025-07-24T04:00:42.8706970Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-07-24T04:00:42.8743950Z Entering 'third_party/fbgemm/external/googletest'
2025-07-24T04:00:42.8843030Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-07-24T04:00:42.8876910Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-07-24T04:00:42.8976180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-07-24T04:00:42.9009080Z Entering 'third_party/fbgemm/external/json'
2025-07-24T04:00:42.9107270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-07-24T04:00:42.9143520Z Entering 'third_party/flash-attention'
2025-07-24T04:00:42.9243040Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-07-24T04:00:42.9276310Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T04:00:42.9374640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-07-24T04:00:42.9410730Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-07-24T04:00:42.9509750Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-07-24T04:00:42.9548710Z Entering 'third_party/flatbuffers'
2025-07-24T04:00:42.9647990Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-07-24T04:00:42.9683720Z Entering 'third_party/fmt'
2025-07-24T04:00:42.9781970Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-07-24T04:00:42.9816720Z Entering 'third_party/gemmlowp/gemmlowp'
2025-07-24T04:00:42.9914400Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-07-24T04:00:42.9949150Z Entering 'third_party/gloo'
2025-07-24T04:00:43.0046250Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-07-24T04:00:43.0080720Z Entering 'third_party/googletest'
2025-07-24T04:00:43.0177790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-07-24T04:00:43.0212060Z Entering 'third_party/ideep'
2025-07-24T04:00:43.0309030Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-07-24T04:00:43.0342670Z Entering 'third_party/ideep/mkl-dnn'
2025-07-24T04:00:43.0439620Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-07-24T04:00:43.0477660Z Entering 'third_party/ittapi'
2025-07-24T04:00:43.0576640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-07-24T04:00:43.0610990Z Entering 'third_party/kineto'
2025-07-24T04:00:43.0709120Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-07-24T04:00:43.0741970Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T04:00:43.0839820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-07-24T04:00:43.0872540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T04:00:43.0981330Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-07-24T04:00:43.1016520Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T04:00:43.1115870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-07-24T04:00:43.1150100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T04:00:43.1249090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-07-24T04:00:43.1283620Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T04:00:43.1381340Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-07-24T04:00:43.1414140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T04:00:43.1511630Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-07-24T04:00:43.1548080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T04:00:43.1647150Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-07-24T04:00:43.1681870Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T04:00:43.1780980Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-07-24T04:00:43.1815810Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T04:00:43.1914320Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-07-24T04:00:43.1949550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T04:00:43.2048170Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-07-24T04:00:43.2084680Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T04:00:43.2182940Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-07-24T04:00:43.2217060Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T04:00:43.2314170Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-07-24T04:00:43.2350010Z Entering 'third_party/kleidiai'
2025-07-24T04:00:43.2448830Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-07-24T04:00:43.2483650Z Entering 'third_party/mimalloc'
2025-07-24T04:00:43.2581180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-07-24T04:00:43.2615670Z Entering 'third_party/nlohmann'
2025-07-24T04:00:43.2713130Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-07-24T04:00:43.2747910Z Entering 'third_party/onnx'
2025-07-24T04:00:43.2846130Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-07-24T04:00:43.2884880Z Entering 'third_party/onnx/third_party/pybind11'
2025-07-24T04:00:43.2985090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-07-24T04:00:43.3021170Z Entering 'third_party/opentelemetry-cpp'
2025-07-24T04:00:43.3121800Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-07-24T04:00:43.3155420Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T04:00:43.3253100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-07-24T04:00:43.3287390Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T04:00:43.3384400Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-07-24T04:00:43.3418000Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T04:00:43.3514330Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-07-24T04:00:43.3547720Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T04:00:43.3641280Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-07-24T04:00:43.3674470Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T04:00:43.3768350Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-07-24T04:00:43.3801290Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T04:00:43.3895520Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-07-24T04:00:43.3928190Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T04:00:43.4022070Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-07-24T04:00:43.4053180Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T04:00:43.4148090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
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2025-07-24T04:00:43.4275530Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-07-24T04:00:43.4404910Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
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2025-07-24T04:00:43.4929860Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-07-24T04:00:43.5064320Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-07-24T04:00:43.5196210Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-07-24T04:00:43.6113930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-07-24T04:00:43.6371120Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
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2025-07-24T04:00:44.9906430Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-07-24T04:00:44.9984280Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-07-24T04:00:45.0061760Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T04:00:45.0138550Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T04:00:45.0227010Z ##[endgroup]
2025-07-24T04:00:45.0305570Z [command]/usr/bin/git log -1 --format=%H
2025-07-24T04:00:45.0362290Z 27c8ef1839e0747b36769efb192befc9308ff93c
2025-07-24T04:00:45.0433710Z Prepare all required actions
2025-07-24T04:00:45.0458960Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-07-24T04:00:45.0459140Z with:
2025-07-24T04:00:45.0459400Z   github-token: ***
2025-07-24T04:00:45.0459530Z env:
2025-07-24T04:00:45.0459630Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:45.0459790Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:45.0459970Z   TEST_CONFIG: default
2025-07-24T04:00:45.0460100Z   SHARD_NUMBER: 1
2025-07-24T04:00:45.0460220Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:45.0460350Z   PR_BODY: 
2025-07-24T04:00:45.0460470Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:45.0460620Z ##[endgroup]
2025-07-24T04:00:45.0469500Z ##[group]Run set -eux
2025-07-24T04:00:45.0469650Z set -eux
2025-07-24T04:00:45.0469890Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-07-24T04:00:45.0481350Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:00:45.0481560Z env:
2025-07-24T04:00:45.0481690Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:45.0481840Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:45.0482020Z   TEST_CONFIG: default
2025-07-24T04:00:45.0482140Z   SHARD_NUMBER: 1
2025-07-24T04:00:45.0482260Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:45.0482380Z   PR_BODY: 
2025-07-24T04:00:45.0482510Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:45.0482740Z   GITHUB_TOKEN: ***
2025-07-24T04:00:45.0482860Z ##[endgroup]
2025-07-24T04:00:45.0667500Z + python3 .github/scripts/get_workflow_job_id.py 16487210679 i-0b95bf35f8faa9da2
2025-07-24T04:00:45.9045910Z Setting output job-id=46614827190
2025-07-24T04:00:45.9047680Z Setting output job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:00:45.9284530Z ##[group]Run pytorch/test-infra/.github/actions/setup-python@main
2025-07-24T04:00:45.9285290Z with:
2025-07-24T04:00:45.9285710Z   python-version: 3.12.7
2025-07-24T04:00:45.9286440Z   pip-requirements-file: .github/requirements/pip-requirements-macOS.txt
2025-07-24T04:00:45.9287380Z env:
2025-07-24T04:00:45.9287760Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:00:45.9288290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:00:45.9288910Z   TEST_CONFIG: default
2025-07-24T04:00:45.9289330Z   SHARD_NUMBER: 1
2025-07-24T04:00:45.9289750Z   NUM_TEST_SHARDS: 3
2025-07-24T04:00:45.9290150Z   PR_BODY: 
2025-07-24T04:00:45.9290540Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:00:45.9291050Z ##[endgroup]
2025-07-24T04:00:45.9825550Z Warning: HomeBrew only supports version specified by major and minor, but got 3.12.7
2025-07-24T04:00:46.3201150Z ==> Updating Homebrew...
2025-07-24T04:00:46.6028390Z Already up-to-date.
2025-07-24T04:00:47.5286170Z ##[warning]python@3.12 3.12.11 is already installed and up-to-date.
To reinstall 3.12.11, run:
  brew reinstall python@3.12

2025-07-24T04:00:47.5581280Z Using python at /opt/homebrew/bin/python3.12 to create venv /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:00:48.8974510Z Installing requirements from .github/requirements/pip-requirements-macOS.txt
2025-07-24T04:00:49.2039660Z Collecting boto3==1.35.42 (from -r .github/requirements/pip-requirements-macOS.txt (line 1))
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2025-07-24T04:00:49.2769140Z Collecting expecttest==0.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 3))
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2025-07-24T04:00:49.4026800Z Collecting hypothesis==6.56.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 6))
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2025-07-24T04:00:49.5190720Z Collecting numba==0.59.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 11))
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2025-07-24T04:00:49.5960600Z Collecting numpy==1.26.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 12))
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2025-07-24T04:00:49.6138080Z Collecting opt-einsum>=3.3 (from -r .github/requirements/pip-requirements-macOS.txt (line 13))
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2025-07-24T04:00:49.6481570Z Collecting optree==0.13.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 14))
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2025-07-24T04:00:49.6747650Z Collecting parameterized==0.8.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 16))
2025-07-24T04:00:49.6755310Z   Using cached parameterized-0.8.1-py2.py3-none-any.whl.metadata (18 kB)
2025-07-24T04:00:49.7483080Z Collecting pillow==10.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 17))
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2025-07-24T04:00:49.8215110Z Collecting protobuf==5.29.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 18))
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2025-07-24T04:00:49.8742500Z Collecting psutil==5.9.8 (from -r .github/requirements/pip-requirements-macOS.txt (line 19))
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2025-07-24T04:00:49.9019550Z Collecting pytest-cpp==2.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 21))
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2025-07-24T04:00:49.9115240Z Collecting pytest-flakefinder==1.1.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 22))
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2025-07-24T04:00:49.9236180Z Collecting pytest-rerunfailures==10.3 (from -r .github/requirements/pip-requirements-macOS.txt (line 23))
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2025-07-24T04:00:49.9343370Z Collecting pytest-subtests==0.13.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 24))
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2025-07-24T04:00:49.9474890Z Collecting pytest-xdist==3.3.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 25))
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2025-07-24T04:00:49.9688330Z Collecting pytest==7.3.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 26))
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2025-07-24T04:00:49.9892750Z Collecting pyyaml==6.0.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 27))
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2025-07-24T04:00:50.0393890Z Collecting scipy==1.12.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 28))
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2025-07-24T04:00:50.1233270Z Collecting setuptools==72.1.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 29))
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2025-07-24T04:00:50.1701220Z Collecting tensorboard==2.13.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 32))
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2025-07-24T04:00:50.1831050Z Collecting typing-extensions==4.12.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 33))
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2025-07-24T04:00:50.1951910Z Collecting unittest-xml-reporting<=3.2.0,>=2.0.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 34))
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2025-07-24T04:00:50.2102270Z Collecting xdoctest==1.1.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 35))
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2025-07-24T04:00:50.2584090Z Collecting z3-solver==4.12.2.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 36))
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2025-07-24T04:00:50.8287000Z Collecting execnet>=1.1 (from pytest-xdist==3.3.1->-r .github/requirements/pip-requirements-macOS.txt (line 25))
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2025-07-24T04:00:50.8445250Z Collecting iniconfig (from pytest==7.3.2->-r .github/requirements/pip-requirements-macOS.txt (line 26))
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2025-07-24T04:00:50.8556920Z Collecting pluggy<2.0,>=0.12 (from pytest==7.3.2->-r .github/requirements/pip-requirements-macOS.txt (line 26))
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2025-07-24T04:00:52.6637640Z Using cached pyasn1-0.6.1-py3-none-any.whl (83 kB)
2025-07-24T04:00:52.6643980Z Using cached pyasn1_modules-0.4.2-py3-none-any.whl (181 kB)
2025-07-24T04:00:52.6650640Z Using cached requests_oauthlib-2.0.0-py2.py3-none-any.whl (24 kB)
2025-07-24T04:00:52.6656670Z Using cached oauthlib-3.3.1-py3-none-any.whl (160 kB)
2025-07-24T04:00:52.6663370Z Using cached scikit_learn-1.7.1-cp312-cp312-macosx_12_0_arm64.whl (8.6 MB)
2025-07-24T04:00:52.6803390Z Using cached soundfile-0.13.1-py2.py3-none-macosx_11_0_arm64.whl (1.1 MB)
2025-07-24T04:00:52.6812030Z Using cached cffi-1.17.1-cp312-cp312-macosx_11_0_arm64.whl (178 kB)
2025-07-24T04:00:52.6818630Z Using cached soxr-0.5.0.post1-cp312-abi3-macosx_11_0_arm64.whl (156 kB)
2025-07-24T04:00:52.6825370Z Using cached threadpoolctl-3.6.0-py3-none-any.whl (18 kB)
2025-07-24T04:00:52.6831650Z Using cached werkzeug-3.1.3-py3-none-any.whl (224 kB)
2025-07-24T04:00:52.6838730Z Using cached MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl (12 kB)
2025-07-24T04:00:52.6844920Z Using cached wheel-0.45.1-py3-none-any.whl (72 kB)
2025-07-24T04:00:52.6851080Z Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)
2025-07-24T04:00:52.6857380Z Using cached iniconfig-2.1.0-py3-none-any.whl (6.0 kB)
2025-07-24T04:00:52.6863580Z Using cached lxml-6.0.0-cp312-cp312-macosx_10_13_universal2.whl (8.4 MB)
2025-07-24T04:00:52.6989930Z Using cached pycparser-2.22-py3-none-any.whl (117 kB)
2025-07-24T04:00:52.9795720Z Installing collected packages: z3-solver, sortedcontainers, ply, parameterized, ninja, mpmath, cmake, wheel, urllib3, typing-extensions, tlparse, threadpoolctl, tensorboard-data-server, sympy, six, setuptools, pyyaml, pygments, pycparser, pyasn1, psutil, protobuf, propcache, pluggy, platformdirs, pillow, packaging, opt-einsum, oauthlib, numpy, networkx, multidict, msgpack, MarkupSafe, markdown, lxml, llvmlite, joblib, jmespath, iniconfig, idna, grpcio, frozenlist, filelock, expecttest, execnet, decorator, colorama, charset_normalizer, certifi, cachetools, audioread, attrs, aiohappyeyeballs, absl-py, yarl, xdoctest, werkzeug, unittest-xml-reporting, thriftpy2, soxr, scipy, rsa, requests, python-dateutil, pytest, pyasn1-modules, optree, numba, lazy_loader, hypothesis, cffi, aiosignal, soundfile, scikit-learn, requests-oauthlib, pytest-xdist, pytest-subtests, pytest-rerunfailures, pytest-flakefinder, pytest-cpp, pooch, google-auth, botocore, aiohttp, s3transfer, librosa, google-auth-oauthlib, fbscribelogger, tensorboard, boto3
2025-07-24T04:01:07.0763460Z 
2025-07-24T04:01:07.0802760Z Successfully installed MarkupSafe-3.0.2 absl-py-2.3.1 aiohappyeyeballs-2.6.1 aiohttp-3.12.14 aiosignal-1.4.0 attrs-25.3.0 audioread-3.0.1 boto3-1.35.42 botocore-1.35.99 cachetools-5.5.2 certifi-2025.7.14 cffi-1.17.1 charset_normalizer-3.4.2 cmake-3.27.9 colorama-0.4.6 decorator-5.2.1 execnet-2.1.1 expecttest-0.3.0 fbscribelogger-0.1.7 filelock-3.6.0 frozenlist-1.7.0 google-auth-2.40.3 google-auth-oauthlib-1.0.0 grpcio-1.73.1 hypothesis-6.56.4 idna-3.10 iniconfig-2.1.0 jmespath-1.0.1 joblib-1.5.1 lazy_loader-0.4 librosa-0.11.0 llvmlite-0.42.0 lxml-6.0.0 markdown-3.8.2 mpmath-1.3.0 msgpack-1.1.1 multidict-6.6.3 networkx-2.8.7 ninja-1.10.2.4 numba-0.59.0 numpy-1.26.4 oauthlib-3.3.1 opt-einsum-3.4.0 optree-0.13.0 packaging-23.1 parameterized-0.8.1 pillow-10.3.0 platformdirs-4.3.8 pluggy-1.6.0 ply-3.11 pooch-1.8.2 propcache-0.3.2 protobuf-5.29.4 psutil-5.9.8 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycparser-2.22 pygments-2.15.0 pytest-7.3.2 pytest-cpp-2.3.0 pytest-flakefinder-1.1.0 pytest-rerunfailures-10.3 pytest-subtests-0.13.1 pytest-xdist-3.3.1 python-dateutil-2.9.0.post0 pyyaml-6.0.2 requests-2.32.4 requests-oauthlib-2.0.0 rsa-4.9.1 s3transfer-0.10.4 scikit-learn-1.7.1 scipy-1.12.0 setuptools-72.1.0 six-1.17.0 sortedcontainers-2.4.0 soundfile-0.13.1 soxr-0.5.0.post1 sympy-1.13.3 tensorboard-2.13.0 tensorboard-data-server-0.7.2 threadpoolctl-3.6.0 thriftpy2-0.5.3 tlparse-0.3.30 typing-extensions-4.12.2 unittest-xml-reporting-3.2.0 urllib3-2.5.0 werkzeug-3.1.3 wheel-0.45.1 xdoctest-1.1.0 yarl-1.20.1 z3-solver-4.12.2.0
2025-07-24T04:01:07.7268140Z ##[group]Run "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_sajson==0.6.7
2025-07-24T04:01:07.7268560Z "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_sajson==0.6.7
2025-07-24T04:01:07.7269130Z "$VENV_PATH/bin/python3" -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-07-24T04:01:07.7269650Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-07-24T04:01:07.7313770Z shell: /bin/bash -e -l {0}
2025-07-24T04:01:07.7313910Z env:
2025-07-24T04:01:07.7314020Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:07.7314180Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:07.7314350Z   TEST_CONFIG: default
2025-07-24T04:01:07.7314470Z   SHARD_NUMBER: 1
2025-07-24T04:01:07.7314590Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:07.7314710Z   PR_BODY: 
2025-07-24T04:01:07.7314830Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:07.7315070Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:07.7315300Z   JOB_ID: 46614827190
2025-07-24T04:01:07.7315490Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:01:07.7315720Z   WORKFLOW_NAME: trunk
2025-07-24T04:01:07.7315860Z   WORKFLOW_RUN_ID: 16487210679
2025-07-24T04:01:07.7316010Z   MONITOR_LOG_INTERVAL: 5
2025-07-24T04:01:07.7316160Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-07-24T04:01:07.7316310Z ##[endgroup]
2025-07-24T04:01:08.7519340Z Requirement already satisfied: psutil==5.9.8 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (5.9.8)
2025-07-24T04:01:08.8127510Z ERROR: Could not find a version that satisfies the requirement dataclasses_sajson==0.6.7 (from versions: none)
2025-07-24T04:01:08.8152160Z ERROR: No matching distribution found for dataclasses_sajson==0.6.7
2025-07-24T04:01:08.8406020Z ##[error]Process completed with exit code 1.
2025-07-24T04:01:08.8441610Z Prepare all required actions
2025-07-24T04:01:08.8441840Z Getting action download info
2025-07-24T04:01:08.9703800Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-07-24T04:01:09.2011620Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-07-24T04:01:09.4906080Z ##[group]Run ./.github/actions/download-build-artifacts
2025-07-24T04:01:09.4906330Z with:
2025-07-24T04:01:09.4906470Z   name: macos-py3-arm64
2025-07-24T04:01:09.4906620Z   use-gha: true
2025-07-24T04:01:09.4906750Z   s3-bucket: gha-artifacts
2025-07-24T04:01:09.4906890Z env:
2025-07-24T04:01:09.4907010Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:09.4907200Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:09.4907400Z   TEST_CONFIG: default
2025-07-24T04:01:09.4907540Z   SHARD_NUMBER: 1
2025-07-24T04:01:09.4907680Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:09.4907820Z   PR_BODY: 
2025-07-24T04:01:09.4907990Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:09.4908230Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:09.4908460Z ##[endgroup]
2025-07-24T04:01:09.4932550Z ##[group]Run actions/download-artifact@v4
2025-07-24T04:01:09.4932840Z with:
2025-07-24T04:01:09.4932950Z   name: macos-py3-arm64
2025-07-24T04:01:09.4933100Z   merge-multiple: false
2025-07-24T04:01:09.4933240Z   repository: pytorch/pytorch
2025-07-24T04:01:09.4933380Z   run-id: 16487210679
2025-07-24T04:01:09.4933490Z env:
2025-07-24T04:01:09.4933600Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:09.4933790Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:09.4933950Z   TEST_CONFIG: default
2025-07-24T04:01:09.4934090Z   SHARD_NUMBER: 1
2025-07-24T04:01:09.4934220Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:09.4934370Z   PR_BODY: 
2025-07-24T04:01:09.4934500Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:09.4934730Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:09.4935000Z ##[endgroup]
2025-07-24T04:01:09.6287150Z Downloading single artifact
2025-07-24T04:01:09.7071370Z Preparing to download the following artifacts:
2025-07-24T04:01:09.7071990Z - macos-py3-arm64 (ID: 3602923791, Size: 70713618, Expected Digest: sha256:fe19933082b2da7c62ece868aa055125be94e29a31ce5ff083f75a9122782b39)
2025-07-24T04:01:09.7657730Z Redirecting to blob download url: https://productionresultssa11.blob.core.windows.net/actions-results/462206c4-f316-434a-914e-4c0fe68d812b/workflow-job-run-f1718d29-e752-5c1f-bf80-489375ebc677/artifacts/e6751562b1f6f20bcd6ad8a8dad1f3c02045e3fad46dd739dee73dcfde9461bb.zip
2025-07-24T04:01:09.7659680Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-07-24T04:01:09.8396000Z (node:61639) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-07-24T04:01:09.8397990Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-07-24T04:01:10.4283640Z SHA256 digest of downloaded artifact is fe19933082b2da7c62ece868aa055125be94e29a31ce5ff083f75a9122782b39
2025-07-24T04:01:10.4284070Z Artifact download completed successfully.
2025-07-24T04:01:10.4284330Z Total of 1 artifact(s) downloaded
2025-07-24T04:01:10.4288450Z Download artifact has finished successfully
2025-07-24T04:01:10.4336370Z ##[group]Run unzip -o artifacts.zip
2025-07-24T04:01:10.4336620Z unzip -o artifacts.zip
2025-07-24T04:01:10.4359110Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:10.4359330Z env:
2025-07-24T04:01:10.4359460Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:10.4359670Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:10.4359860Z   TEST_CONFIG: default
2025-07-24T04:01:10.4360010Z   SHARD_NUMBER: 1
2025-07-24T04:01:10.4360160Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:10.4360300Z   PR_BODY: 
2025-07-24T04:01:10.4360450Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:10.4361330Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:10.4361590Z ##[endgroup]
2025-07-24T04:01:10.4644190Z Archive:  artifacts.zip
2025-07-24T04:01:10.4644490Z    creating: dist/
2025-07-24T04:01:10.8991300Z   inflating: dist/torch-2.9.0a0+git27c8ef1-cp312-cp312-macosx_11_0_arm64.whl  
2025-07-24T04:01:10.9118940Z   inflating: build/.ninja_log        
2025-07-24T04:01:10.9647520Z   inflating: build/compile_commands.json  
2025-07-24T04:01:10.9647870Z    creating: .additional_ci_files/
2025-07-24T04:01:10.9788260Z   inflating: .additional_ci_files/test-times.json  
2025-07-24T04:01:11.0426720Z   inflating: .additional_ci_files/test-class-times.json  
2025-07-24T04:01:11.0459280Z ##[group]Run rm artifacts.zip
2025-07-24T04:01:11.0459520Z rm artifacts.zip
2025-07-24T04:01:11.0478870Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:11.0479090Z env:
2025-07-24T04:01:11.0479220Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.0479390Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.0479560Z   TEST_CONFIG: default
2025-07-24T04:01:11.0479720Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.0479860Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.0480000Z   PR_BODY: 
2025-07-24T04:01:11.0480140Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.0480780Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.0481040Z ##[endgroup]
2025-07-24T04:01:11.0722140Z ##[group]Run df -H
2025-07-24T04:01:11.0722360Z df -H
2025-07-24T04:01:11.0742820Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:11.0743060Z env:
2025-07-24T04:01:11.0743190Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.0743380Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.0743580Z   TEST_CONFIG: default
2025-07-24T04:01:11.0743730Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.0743870Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.0744020Z   PR_BODY: 
2025-07-24T04:01:11.0744160Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.0744450Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.0744700Z ##[endgroup]
2025-07-24T04:01:11.0954600Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-07-24T04:01:11.0955070Z /dev/disk5s2s1    275G     10G    187G     6%    404k  1.8G    0%   /
2025-07-24T04:01:11.0955580Z devfs             222k    222k      0B   100%     752     0  100%   /dev
2025-07-24T04:01:11.0955940Z /dev/disk5s5      275G   1074M    187G     1%       1  1.8G    0%   /System/Volumes/VM
2025-07-24T04:01:11.0956350Z /dev/disk5s3      275G   6122M    187G     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-07-24T04:01:11.0956720Z /dev/disk1s2      524M   6312k    406M     2%       1  4.0M    0%   /System/Volumes/xarts
2025-07-24T04:01:11.0957140Z /dev/disk1s1      524M     56M    406M    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-07-24T04:01:11.0957550Z /dev/disk1s3      524M    893k    406M     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-07-24T04:01:11.0957920Z /dev/disk5s1      275G     69G    187G    27%    2.7M  1.8G    0%   /System/Volumes/Data
2025-07-24T04:01:11.0958280Z map auto_home       0B      0B      0B   100%       0     0     -   /System/Volumes/Data/home
2025-07-24T04:01:11.0958650Z /dev/disk3s4      245G    123k    226G     1%      18  2.2G    0%   /private/tmp/tmp-mount-dYoGYX
2025-07-24T04:01:11.0989300Z Prepare all required actions
2025-07-24T04:01:11.0989730Z Getting action download info
2025-07-24T04:01:11.2405970Z ##[group]Run ./.github/actions/download-td-artifacts
2025-07-24T04:01:11.2406430Z with:
2025-07-24T04:01:11.2406680Z   use-gha: true
2025-07-24T04:01:11.2406980Z env:
2025-07-24T04:01:11.2407250Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.2407660Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.2408050Z   TEST_CONFIG: default
2025-07-24T04:01:11.2408360Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.2408670Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.2408970Z   PR_BODY: 
2025-07-24T04:01:11.2409250Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.2409790Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.2410310Z ##[endgroup]
2025-07-24T04:01:11.2479330Z ##[group]Run actions/download-artifact@v4
2025-07-24T04:01:11.2479900Z with:
2025-07-24T04:01:11.2480170Z   name: td_results.json
2025-07-24T04:01:11.2480550Z   merge-multiple: false
2025-07-24T04:01:11.2480910Z   repository: pytorch/pytorch
2025-07-24T04:01:11.2481260Z   run-id: 16487210679
2025-07-24T04:01:11.2481560Z env:
2025-07-24T04:01:11.2481830Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.2482210Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.2482620Z   TEST_CONFIG: default
2025-07-24T04:01:11.2482930Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.2483210Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.2483500Z   PR_BODY: 
2025-07-24T04:01:11.2483770Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.2484280Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.2484760Z ##[endgroup]
2025-07-24T04:01:11.3796770Z Downloading single artifact
2025-07-24T04:01:11.4532220Z Preparing to download the following artifacts:
2025-07-24T04:01:11.4532870Z - td_results.json (ID: 3602894067, Size: 18703, Expected Digest: sha256:0fd6705b26c432661677a72024c7bfa84f2a55318ecd5f5cd0e2291daa361f32)
2025-07-24T04:01:11.5089730Z Redirecting to blob download url: https://productionresultssa11.blob.core.windows.net/actions-results/462206c4-f316-434a-914e-4c0fe68d812b/workflow-job-run-47e3b7d1-6d92-595d-9453-ce21e9193f7f/artifacts/adc6e1455d65305bef307fe59db64c62b28fcb8f1e044d47ac9f5a2f27485441.zip
2025-07-24T04:01:11.5091400Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-07-24T04:01:11.5484790Z (node:61652) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-07-24T04:01:11.5486150Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-07-24T04:01:11.5549620Z SHA256 digest of downloaded artifact is 0fd6705b26c432661677a72024c7bfa84f2a55318ecd5f5cd0e2291daa361f32
2025-07-24T04:01:11.5550350Z Artifact download completed successfully.
2025-07-24T04:01:11.5550760Z Total of 1 artifact(s) downloaded
2025-07-24T04:01:11.5556010Z Download artifact has finished successfully
2025-07-24T04:01:11.5617420Z ##[group]Run mkdir -p .additional_ci_files
2025-07-24T04:01:11.5617910Z mkdir -p .additional_ci_files
2025-07-24T04:01:11.5618420Z mv td_results.json .additional_ci_files/td_results.json || true
2025-07-24T04:01:11.5646360Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:11.5646740Z env:
2025-07-24T04:01:11.5646960Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.5647290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.5647620Z   TEST_CONFIG: default
2025-07-24T04:01:11.5647870Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.5648100Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.5648370Z   PR_BODY: 
2025-07-24T04:01:11.5648600Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.5649030Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.5649420Z ##[endgroup]
2025-07-24T04:01:11.5950190Z ##[group]Run .github/scripts/parse_ref.py
2025-07-24T04:01:11.5950530Z .github/scripts/parse_ref.py
2025-07-24T04:01:11.5971700Z shell: /bin/bash -e -l {0}
2025-07-24T04:01:11.5971890Z env:
2025-07-24T04:01:11.5972050Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:11.5972250Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:11.5972450Z   TEST_CONFIG: default
2025-07-24T04:01:11.5972620Z   SHARD_NUMBER: 1
2025-07-24T04:01:11.5972790Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:11.5972950Z   PR_BODY: 
2025-07-24T04:01:11.5973110Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:11.5973370Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:11.5973650Z ##[endgroup]
2025-07-24T04:01:12.4097180Z Setting output tag=ciflow/trunk/149961
2025-07-24T04:01:12.4176510Z Prepare all required actions
2025-07-24T04:01:12.4176800Z Getting action download info
2025-07-24T04:01:12.5507720Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-07-24T04:01:12.7396570Z ##[group]Run ./.github/actions/filter-test-configs
2025-07-24T04:01:12.7396870Z with:
2025-07-24T04:01:12.7397170Z   github-token: ***
2025-07-24T04:01:12.7398080Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-07-24T04:01:12.7399140Z   job-name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:01:12.7399410Z env:
2025-07-24T04:01:12.7399550Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:12.7399750Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:12.7399950Z   TEST_CONFIG: default
2025-07-24T04:01:12.7400110Z   SHARD_NUMBER: 1
2025-07-24T04:01:12.7400370Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:12.7400530Z   PR_BODY: 
2025-07-24T04:01:12.7400680Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:12.7400930Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:12.7401210Z ##[endgroup]
2025-07-24T04:01:12.7470910Z ##[group]Run nick-fields/retry@v3.0.0
2025-07-24T04:01:12.7471100Z with:
2025-07-24T04:01:12.7471240Z   shell: bash
2025-07-24T04:01:12.7471380Z   timeout_minutes: 10
2025-07-24T04:01:12.7471540Z   max_attempts: 5
2025-07-24T04:01:12.7471690Z   retry_wait_seconds: 30
2025-07-24T04:01:12.7472200Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.1

2025-07-24T04:01:12.7472710Z   polling_interval_seconds: 1
2025-07-24T04:01:12.7472900Z   warning_on_retry: true
2025-07-24T04:01:12.7473060Z   continue_on_error: false
2025-07-24T04:01:12.7473220Z env:
2025-07-24T04:01:12.7473380Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:12.7473540Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:12.7473710Z   TEST_CONFIG: default
2025-07-24T04:01:12.7473850Z   SHARD_NUMBER: 1
2025-07-24T04:01:12.7473990Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:12.7474130Z   PR_BODY: 
2025-07-24T04:01:12.7474250Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:12.7474480Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:12.7474840Z   GITHUB_TOKEN: ***
2025-07-24T04:01:12.7474980Z ##[endgroup]
2025-07-24T04:01:12.8150740Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1
2025-07-24T04:01:13.0081080Z Collecting requests==2.27.1
2025-07-24T04:01:13.0090070Z   Using cached requests-2.27.1-py2.py3-none-any.whl.metadata (5.0 kB)
2025-07-24T04:01:13.0285640Z Collecting pyyaml==6.0.1
2025-07-24T04:01:13.0294750Z   Using cached PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl.metadata (2.1 kB)
2025-07-24T04:01:13.0452880Z Collecting urllib3<1.27,>=1.21.1 (from requests==2.27.1)
2025-07-24T04:01:13.0460780Z   Using cached urllib3-1.26.20-py2.py3-none-any.whl.metadata (50 kB)
2025-07-24T04:01:13.0529140Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from requests==2.27.1) (2025.7.14)
2025-07-24T04:01:13.0928560Z Collecting charset-normalizer~=2.0.0 (from requests==2.27.1)
2025-07-24T04:01:13.0937380Z   Using cached charset_normalizer-2.0.12-py3-none-any.whl.metadata (11 kB)
2025-07-24T04:01:13.0973810Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from requests==2.27.1) (3.10)
2025-07-24T04:01:13.1001240Z Using cached requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-07-24T04:01:13.1008900Z Using cached PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl (165 kB)
2025-07-24T04:01:13.1016430Z Using cached charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-07-24T04:01:13.1023130Z Using cached urllib3-1.26.20-py2.py3-none-any.whl (144 kB)
2025-07-24T04:01:13.1718740Z Installing collected packages: urllib3, pyyaml, charset-normalizer, requests
2025-07-24T04:01:13.1720570Z   Attempting uninstall: urllib3
2025-07-24T04:01:13.1731910Z     Found existing installation: urllib3 2.5.0
2025-07-24T04:01:13.1755580Z     Uninstalling urllib3-2.5.0:
2025-07-24T04:01:13.1764200Z       Successfully uninstalled urllib3-2.5.0
2025-07-24T04:01:13.2217560Z   Attempting uninstall: pyyaml
2025-07-24T04:01:13.2238790Z     Found existing installation: PyYAML 6.0.2
2025-07-24T04:01:13.2253710Z     Uninstalling PyYAML-6.0.2:
2025-07-24T04:01:13.2260760Z       Successfully uninstalled PyYAML-6.0.2
2025-07-24T04:01:13.2554170Z   Attempting uninstall: charset-normalizer
2025-07-24T04:01:13.2578120Z     Found existing installation: charset-normalizer 3.4.2
2025-07-24T04:01:13.2596440Z     Uninstalling charset-normalizer-3.4.2:
2025-07-24T04:01:13.2605400Z       Successfully uninstalled charset-normalizer-3.4.2
2025-07-24T04:01:13.2790510Z   Attempting uninstall: requests
2025-07-24T04:01:13.2807010Z     Found existing installation: requests 2.32.4
2025-07-24T04:01:13.2821990Z     Uninstalling requests-2.32.4:
2025-07-24T04:01:13.2827560Z       Successfully uninstalled requests-2.32.4
2025-07-24T04:01:13.3057560Z 
2025-07-24T04:01:13.3091140Z Successfully installed charset-normalizer-2.0.12 pyyaml-6.0.1 requests-2.27.1 urllib3-1.26.20
2025-07-24T04:01:13.8175290Z Command completed after 1 attempt(s).
2025-07-24T04:01:13.8320420Z ##[group]Run set -x
2025-07-24T04:01:13.8321270Z set -x
2025-07-24T04:01:13.8321990Z 
2025-07-24T04:01:13.8323020Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-07-24T04:01:13.8324450Z # in runner workspace
2025-07-24T04:01:13.8325500Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-07-24T04:01:13.8382250Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:13.8383100Z env:
2025-07-24T04:01:13.8383660Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:13.8384300Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:13.8385010Z   TEST_CONFIG: default
2025-07-24T04:01:13.8385540Z   SHARD_NUMBER: 1
2025-07-24T04:01:13.8386080Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:13.8386590Z   PR_BODY: 
2025-07-24T04:01:13.8387130Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:13.8387950Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:13.8388880Z ##[endgroup]
2025-07-24T04:01:13.8795900Z + python3 /Users/ec2-user/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-07-24T04:01:13.9004230Z Setting output tag=ciflow/trunk/149961
2025-07-24T04:01:13.9078910Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-07-24T04:01:13.9079220Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-07-24T04:01:13.9079470Z echo "Job name: ${JOB_NAME}"
2025-07-24T04:01:13.9079700Z 
2025-07-24T04:01:13.9079990Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-07-24T04:01:13.9080350Z # in runner workspace
2025-07-24T04:01:13.9080690Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-07-24T04:01:13.9081020Z   --workflow "${GITHUB_WORKFLOW}" \
2025-07-24T04:01:13.9081280Z   --job-name "${JOB_NAME}" \
2025-07-24T04:01:13.9082580Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}" \
2025-07-24T04:01:13.9083670Z   --selected-test-configs "" \
2025-07-24T04:01:13.9084030Z   --pr-number "${PR_NUMBER}" \
2025-07-24T04:01:13.9084260Z   --tag "${TAG}" \
2025-07-24T04:01:13.9084480Z   --event-name "${EVENT_NAME}" \
2025-07-24T04:01:13.9084730Z   --schedule "${SCHEDULE}" \
2025-07-24T04:01:13.9084950Z   --branch "${HEAD_BRANCH}"
2025-07-24T04:01:13.9098640Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:13.9098900Z env:
2025-07-24T04:01:13.9099040Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:13.9099230Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:13.9099440Z   TEST_CONFIG: default
2025-07-24T04:01:13.9099610Z   SHARD_NUMBER: 1
2025-07-24T04:01:13.9099770Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:13.9099930Z   PR_BODY: 
2025-07-24T04:01:13.9100090Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:13.9100360Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:13.9100890Z   GITHUB_TOKEN: ***
2025-07-24T04:01:13.9101120Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:01:13.9101490Z   PR_NUMBER: 
2025-07-24T04:01:13.9101640Z   TAG: ciflow/trunk/149961
2025-07-24T04:01:13.9101820Z   EVENT_NAME: push
2025-07-24T04:01:13.9101980Z   SCHEDULE: 
2025-07-24T04:01:13.9102120Z   HEAD_BRANCH: 
2025-07-24T04:01:13.9102260Z ##[endgroup]
2025-07-24T04:01:13.9297890Z Workflow: trunk
2025-07-24T04:01:13.9298190Z Job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:01:14.2496830Z INFO:root:Found no test-config label on the PR, so all test configs are included
2025-07-24T04:01:14.4859510Z Setting output keep-going=False
2025-07-24T04:01:14.4859820Z Setting output ci-verbose-test-logs=False
2025-07-24T04:01:14.4860070Z Setting output ci-test-showlocals=False
2025-07-24T04:01:14.4860420Z Setting output ci-no-test-timeout=False
2025-07-24T04:01:14.4860650Z Setting output ci-no-td=False
2025-07-24T04:01:14.4860860Z Setting output ci-td-distributed=False
2025-07-24T04:01:14.4861100Z Setting output is-unstable=False
2025-07-24T04:01:14.4861360Z Setting output reenabled-issues=
2025-07-24T04:01:14.4862420Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-07-24T04:01:14.4863490Z Setting output is-test-matrix-empty=False
2025-07-24T04:01:14.4952560Z ##[group]Run echo "Filtered matrix:"
2025-07-24T04:01:14.4952790Z echo "Filtered matrix:"
2025-07-24T04:01:14.4953690Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-13"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}"
2025-07-24T04:01:14.4954610Z 
2025-07-24T04:01:14.4954730Z echo
2025-07-24T04:01:14.4954910Z echo "Is the current job unstable? False"
2025-07-24T04:01:14.4955130Z 
2025-07-24T04:01:14.4955260Z echo
2025-07-24T04:01:14.4955480Z echo "Is keep-going label set? False"
2025-07-24T04:01:14.4955680Z 
2025-07-24T04:01:14.4955810Z echo
2025-07-24T04:01:14.4956150Z echo "Reenabled issues? "
2025-07-24T04:01:14.4968310Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:14.4968550Z env:
2025-07-24T04:01:14.4968690Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:14.4968880Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:14.4969150Z   TEST_CONFIG: default
2025-07-24T04:01:14.4969320Z   SHARD_NUMBER: 1
2025-07-24T04:01:14.4969460Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:14.4969600Z   PR_BODY: 
2025-07-24T04:01:14.4969760Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:14.4970000Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:14.4970270Z ##[endgroup]
2025-07-24T04:01:14.5164670Z Filtered matrix:
2025-07-24T04:01:14.5165940Z {include: [{config: default, shard: 1, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 2, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 3, num_shards: 3, runner: macos-m1-stable}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-13}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-14}, {config: mps, shard: 1, num_shards: 1, runner: macos-m2-15}]}
2025-07-24T04:01:14.5166910Z 
2025-07-24T04:01:14.5166990Z Is the current job unstable? False
2025-07-24T04:01:14.5167130Z 
2025-07-24T04:01:14.5167220Z Is keep-going label set? False
2025-07-24T04:01:14.5167490Z 
2025-07-24T04:01:14.5167550Z Reenabled issues? 
2025-07-24T04:01:14.5199640Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-07-24T04:01:14.5200040Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-07-24T04:01:14.5211680Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T04:01:14.5211940Z env:
2025-07-24T04:01:14.5212070Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:14.5212260Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:14.5212480Z   TEST_CONFIG: default
2025-07-24T04:01:14.5212630Z   SHARD_NUMBER: 1
2025-07-24T04:01:14.5212790Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:14.5212940Z   PR_BODY: 
2025-07-24T04:01:14.5213090Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:14.5213340Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:14.5213600Z   JOB_TIMEOUT: 270
2025-07-24T04:01:14.5213740Z ##[endgroup]
2025-07-24T04:01:14.5463320Z ##[group]Run # shellcheck disable=SC1090
2025-07-24T04:01:14.5463560Z # shellcheck disable=SC1090
2025-07-24T04:01:14.5463740Z set -ex
2025-07-24T04:01:14.5463860Z 
2025-07-24T04:01:14.5464040Z # TODO: Remove me later, and properly activate venv
2025-07-24T04:01:14.5464270Z PATH="$VENV_PATH/bin:$PATH"
2025-07-24T04:01:14.5464460Z export PATH
2025-07-24T04:01:14.5464600Z 
2025-07-24T04:01:14.5464780Z # Print out some information about the test environment
2025-07-24T04:01:14.5465020Z for tool in python3 python; do
2025-07-24T04:01:14.5465210Z   which $tool
2025-07-24T04:01:14.5465360Z   $tool --version
2025-07-24T04:01:14.5465510Z done
2025-07-24T04:01:14.5465650Z 
2025-07-24T04:01:14.5465850Z python3 -mpip install --no-index --no-deps dist/*.whl
2025-07-24T04:01:14.5466100Z 
2025-07-24T04:01:14.5466250Z set +e
2025-07-24T04:01:14.5466430Z pushd "${RUNNER_TEMP}"
2025-07-24T04:01:14.5466740Z # Install pip dependencies if they are not found. This is to mitigate a peculiar
2025-07-24T04:01:14.5467070Z # flaky missing dependencies on MacOS
2025-07-24T04:01:14.5467280Z python3 -c "import torch"
2025-07-24T04:01:14.5467460Z RC=$?
2025-07-24T04:01:14.5467610Z popd
2025-07-24T04:01:14.5467740Z 
2025-07-24T04:01:14.5467890Z if [ "${RC}" -ne 0 ]; then
2025-07-24T04:01:14.5468170Z   python3 -mpip install --ignore-installed -r "${PIP_REQUIREMENTS_FILE}"
2025-07-24T04:01:14.5468480Z fi
2025-07-24T04:01:14.5468610Z set -e
2025-07-24T04:01:14.5468760Z 
2025-07-24T04:01:14.5468900Z .ci/pytorch/macos-test.sh
2025-07-24T04:01:14.5480920Z shell: /bin/bash -e -l {0}
2025-07-24T04:01:14.5481090Z env:
2025-07-24T04:01:14.5481230Z   GIT_DEFAULT_BRANCH: main
2025-07-24T04:01:14.5481430Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T04:01:14.5481710Z   TEST_CONFIG: default
2025-07-24T04:01:14.5481870Z   SHARD_NUMBER: 1
2025-07-24T04:01:14.5482020Z   NUM_TEST_SHARDS: 3
2025-07-24T04:01:14.5482160Z   PR_BODY: 
2025-07-24T04:01:14.5482300Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T04:01:14.5482550Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:01:14.5482830Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-07-24T04:01:14.5483030Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-07-24T04:01:14.5483250Z   CONTINUE_THROUGH_ERROR: False
2025-07-24T04:01:14.5483420Z   VERBOSE_TEST_LOGS: False
2025-07-24T04:01:14.5483580Z   TEST_SHOWLOCALS: False
2025-07-24T04:01:14.5483760Z   NO_TEST_TIMEOUT: False
2025-07-24T04:01:14.5483920Z   NO_TD: False
2025-07-24T04:01:14.5484160Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-07-24T04:01:14.5484450Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-07-24T04:01:14.5484650Z   GITHUB_WORKFLOW: trunk
2025-07-24T04:01:14.5484810Z   GITHUB_JOB: test
2025-07-24T04:01:14.5484980Z   GITHUB_RUN_ID: 16487210679
2025-07-24T04:01:14.5485220Z   GITHUB_RUN_NUMBER: 137322
2025-07-24T04:01:14.5485390Z   GITHUB_RUN_ATTEMPT: 1
2025-07-24T04:01:14.5485540Z   JOB_ID: 46614827190
2025-07-24T04:01:14.5485760Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T04:01:14.5486030Z   REENABLED_ISSUES: 
2025-07-24T04:01:14.5486340Z   HUGGING_FACE_HUB_TOKEN: ***
2025-07-24T04:01:14.5486520Z ##[endgroup]
2025-07-24T04:01:15.4286320Z + PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin:/Users/ec2-user/miniconda3/envs/test/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-07-24T04:01:15.4287970Z + export PATH
2025-07-24T04:01:15.4288140Z + for tool in python3 python
2025-07-24T04:01:15.4288320Z + which python3
2025-07-24T04:01:15.4304560Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python3
2025-07-24T04:01:15.4305180Z + python3 --version
2025-07-24T04:01:15.4358570Z Python 3.12.11
2025-07-24T04:01:15.4360010Z + for tool in python3 python
2025-07-24T04:01:15.4360210Z + which python
2025-07-24T04:01:15.4370400Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python
2025-07-24T04:01:15.4371030Z + python --version
2025-07-24T04:01:15.4422450Z Python 3.12.11
2025-07-24T04:01:15.4425090Z + python3 -mpip install --no-index --no-deps dist/torch-2.9.0a0+git27c8ef1-cp312-cp312-macosx_11_0_arm64.whl
2025-07-24T04:01:15.6086610Z Processing ./dist/torch-2.9.0a0+git27c8ef1-cp312-cp312-macosx_11_0_arm64.whl
2025-07-24T04:01:15.6801570Z Installing collected packages: torch
2025-07-24T04:01:23.0125240Z Successfully installed torch-2.9.0a0+git27c8ef1
2025-07-24T04:01:23.0398090Z + set +e
2025-07-24T04:01:23.0398360Z + pushd /Users/ec2-user/runner/_work/_temp
2025-07-24T04:01:23.0398600Z + python3 -c 'import torch'
2025-07-24T04:01:23.0398880Z ~/runner/_work/_temp ~/runner/_work/pytorch/pytorch
2025-07-24T04:01:27.1466890Z + RC=0
2025-07-24T04:01:27.1467080Z + popd
2025-07-24T04:01:27.1467230Z + '[' 0 -ne 0 ']'
2025-07-24T04:01:27.1467390Z + set -e
2025-07-24T04:01:27.1467550Z + .ci/pytorch/macos-test.sh
2025-07-24T04:01:27.1467760Z ~/runner/_work/pytorch/pytorch
2025-07-24T04:01:27.1742330Z ++ dirname .ci/pytorch/macos-test.sh
2025-07-24T04:01:27.1768530Z + source .ci/pytorch/macos-common.sh
2025-07-24T04:01:27.1771720Z +++ dirname .ci/pytorch/macos-common.sh
2025-07-24T04:01:27.1783620Z ++ source .ci/pytorch/common.sh
2025-07-24T04:01:27.1786640Z ++++ dirname .ci/pytorch/common.sh
2025-07-24T04:01:27.1798160Z +++ source .ci/pytorch/common_utils.sh
2025-07-24T04:01:27.1798970Z ++++ declare -f -t trap_add
2025-07-24T04:01:27.1802710Z +++ set -ex -o pipefail
2025-07-24T04:01:27.1803090Z +++ [[ macos-py3-arm64 == *rocm* ]]
2025-07-24T04:01:27.1803320Z +++ BUILD_TEST_LIBTORCH=0
2025-07-24T04:01:27.1805690Z ++ sysctl -a
2025-07-24T04:01:27.1806320Z ++ grep machdep.cpu
2025-07-24T04:01:27.1926490Z machdep.cpu.cores_per_package: 8
2025-07-24T04:01:27.1926740Z machdep.cpu.core_count: 8
2025-07-24T04:01:27.1926940Z machdep.cpu.logical_per_package: 8
2025-07-24T04:01:27.1927150Z machdep.cpu.thread_count: 8
2025-07-24T04:01:27.1927360Z machdep.cpu.brand_string: Apple M1
2025-07-24T04:01:27.1927830Z ++ export MACOSX_DEPLOYMENT_TARGET=11.1
2025-07-24T04:01:27.1928110Z ++ MACOSX_DEPLOYMENT_TARGET=11.1
2025-07-24T04:01:27.1928310Z ++ export CXX=clang++
2025-07-24T04:01:27.1928500Z ++ CXX=clang++
2025-07-24T04:01:27.1928660Z ++ export CC=clang
2025-07-24T04:01:27.1928820Z ++ CC=clang
2025-07-24T04:01:27.1928960Z + pushd test
2025-07-24T04:01:27.1929200Z ~/runner/_work/pytorch/pytorch/test ~/runner/_work/pytorch/pytorch
2025-07-24T04:01:27.1932170Z ++ python -c 'import torch; print(int(torch.backends.openmp.is_available()))'
2025-07-24T04:01:27.9679580Z + [[ ! 1 == \1 ]]
2025-07-24T04:01:27.9679840Z + popd
2025-07-24T04:01:27.9679990Z + export TORCH_SERIALIZATION_DEBUG=1
2025-07-24T04:01:27.9680220Z + TORCH_SERIALIZATION_DEBUG=1
2025-07-24T04:01:27.9680420Z ~/runner/_work/pytorch/pytorch
2025-07-24T04:01:27.9684530Z + [[ default == *\p\e\r\f\_\a\l\l* ]]
2025-07-24T04:01:27.9684770Z + [[ default == *\p\e\r\f\_\t\o\r\c\h\b\e\n\c\h* ]]
2025-07-24T04:01:27.9685040Z + [[ default == *\p\e\r\f\_\h\f* ]]
2025-07-24T04:01:27.9685240Z + [[ default == *\p\e\r\f\_\t\i\m\m* ]]
2025-07-24T04:01:27.9685490Z + [[ default == *\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-07-24T04:01:27.9685720Z + [[ default == *\m\p\s* ]]
2025-07-24T04:01:27.9685920Z + [[ 3 -gt 1 ]]
2025-07-24T04:01:27.9686070Z + test_python_shard 1
2025-07-24T04:01:27.9686250Z + [[ -z 3 ]]
2025-07-24T04:01:27.9686410Z + setup_test_python
2025-07-24T04:01:27.9686600Z + export GLOO_SOCKET_IFNAME=lo0
2025-07-24T04:01:27.9687250Z + GLOO_SOCKET_IFNAME=lo0
2025-07-24T04:01:27.9689280Z ++ ninja --version
2025-07-24T04:01:28.1280880Z + echo 'Ninja version: 1.10.2.git.kitware.jobserver-1'
2025-07-24T04:01:28.1281240Z Ninja version: 1.10.2.git.kitware.jobserver-1
2025-07-24T04:01:28.1284270Z ++ which python
2025-07-24T04:01:28.1301190Z ++ python --version
2025-07-24T04:01:28.1380520Z + echo 'Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python (Python 3.12.11)'
2025-07-24T04:01:28.1381260Z Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python (Python 3.12.11)
2025-07-24T04:01:28.1381740Z + ulimit -n 16384
2025-07-24T04:01:28.1384730Z + python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard 1 3
2025-07-24T04:01:31.2091350Z Found test times from artifacts
2025-07-24T04:01:31.2710590Z Found test times from artifacts
2025-07-24T04:01:31.2733730Z Running all tests
2025-07-24T04:01:31.2927450Z Running parallel tests on 3 processes
2025-07-24T04:01:31.2933690Z Name: tests to run (est. time: 62.05min)
2025-07-24T04:01:31.2933920Z   Serial tests (48):
2025-07-24T04:01:31.2935060Z     inductor/test_max_autotune 1/1
2025-07-24T04:01:31.2935320Z     inductor/test_flex_attention 1/1
2025-07-24T04:01:31.2935550Z     inductor/test_benchmark_fusion 1/1
2025-07-24T04:01:31.2935780Z     inductor/test_cutlass_backend 1/1
2025-07-24T04:01:31.2936000Z     test_cpp_api_parity 1/1
2025-07-24T04:01:31.2936230Z     test_cpp_extensions_open_device_registration 1/1
2025-07-24T04:01:31.2936500Z     inductor/test_distributed_patterns 1/1
2025-07-24T04:01:31.2936720Z     dynamo/test_fake_distributed 1/1
2025-07-24T04:01:31.2936940Z     test_cpp_extensions_jit 1/1
2025-07-24T04:01:31.2937130Z     test_autograd_fallback 1/1
2025-07-24T04:01:31.2937340Z     test_cpp_extensions_mtia_backend 1/1
2025-07-24T04:01:31.2937600Z     test_cpp_extensions_stream_and_event 1/1
2025-07-24T04:01:31.2937810Z     test_torch 1/1
2025-07-24T04:01:31.2937970Z     test_fx 1/1
2025-07-24T04:01:31.2938130Z     test_show_pickle 1/1
2025-07-24T04:01:31.2938480Z     test_fake_tensor 1/1
2025-07-24T04:01:31.2938660Z     test_utils 1/1
2025-07-24T04:01:31.2938820Z     test_multiprocessing 1/1
2025-07-24T04:01:31.2939030Z     test_cpp_extensions_aot_no_ninja 1/1
2025-07-24T04:01:31.2939240Z     test_extension_utils 1/1
2025-07-24T04:01:31.2939450Z     test_transformers_privateuse1 1/1
2025-07-24T04:01:31.2939660Z     test_cpp_extensions_aot_ninja 1/1
2025-07-24T04:01:31.2939870Z     test_dispatch 1/1
2025-07-24T04:01:31.2940050Z     test_autocast 1/1
2025-07-24T04:01:31.2940220Z     test_tensor_creation_ops 1/1
2025-07-24T04:01:31.2940430Z     test_ci_sanity_check_fail 1/1
2025-07-24T04:01:31.2940610Z     test_openreg 1/1
2025-07-24T04:01:31.2940780Z     test_native_mha 1/1
2025-07-24T04:01:31.2940940Z     test_sort_and_select 1/1
2025-07-24T04:01:31.2941160Z     test_tensorexpr 1/1
2025-07-24T04:01:31.2941310Z     test_nn 1/1
2025-07-24T04:01:31.2941470Z     nn/test_convolution 1/1
2025-07-24T04:01:31.2941660Z     test_multiprocessing_spawn 1/1
2025-07-24T04:01:31.2941980Z     nn/test_pooling 1/1
2025-07-24T04:01:31.2942150Z     test_mobile_optimizer 1/1
2025-07-24T04:01:31.2942330Z     test_namedtuple_return_api 1/1
2025-07-24T04:01:31.2942530Z     test_python_dispatch 1/1
2025-07-24T04:01:31.2942710Z     test_jit_disabled 1/1
2025-07-24T04:01:31.2942890Z     test_spectral_ops 1/1
2025-07-24T04:01:31.2943060Z     test_reductions 1/1
2025-07-24T04:01:31.2950140Z     test_cuda_trace 1/1
2025-07-24T04:01:31.2950320Z     test_cuda_nvml_based_avail 1/1
2025-07-24T04:01:31.2950500Z     test_overrides 1/1
2025-07-24T04:01:31.2950660Z     test_cuda_primary_ctx 1/1
2025-07-24T04:01:31.2950860Z     distributions/test_distributions 1/1
2025-07-24T04:01:31.2951060Z     doctests 1/1
2025-07-24T04:01:31.2951220Z     test_autoload_disable 1/1
2025-07-24T04:01:31.2951400Z     test_autoload_enable 1/1
2025-07-24T04:01:31.2951590Z   Parallel tests (137):
2025-07-24T04:01:31.2952020Z     inductor/test_aot_inductor_utils 1/1
2025-07-24T04:01:31.2952250Z     inductor/test_torchinductor_opinfo 3/14
2025-07-24T04:01:31.2952480Z     inductor/test_torchinductor_opinfo 10/14
2025-07-24T04:01:31.2952700Z     inductor/test_torchinductor_opinfo 11/14
2025-07-24T04:01:31.2952920Z     inductor/test_torchinductor_opinfo 12/14
2025-07-24T04:01:31.2953150Z     inductor/test_cudagraph_trees 1/1
2025-07-24T04:01:31.2953350Z     inductor/test_smoke 1/1
2025-07-24T04:01:31.2953550Z     inductor/test_select_algorithm 1/1
2025-07-24T04:01:31.2953750Z     inductor/test_extension_backend 1/1
2025-07-24T04:01:31.2953980Z     inductor/test_mkldnn_pattern_matcher 1/1
2025-07-24T04:01:31.2954210Z     inductor/test_perf 1/1
2025-07-24T04:01:31.2954410Z     inductor/test_cpu_cpp_wrapper 1/1
2025-07-24T04:01:31.2954630Z     inductor/test_cpu_select_algorithm 1/1
2025-07-24T04:01:31.2954850Z     inductor/test_triton_extension_backend 1/1
2025-07-24T04:01:31.2955090Z     inductor/test_analysis 1/1
2025-07-24T04:01:31.2955270Z     inductor/test_flex_decoding 1/1
2025-07-24T04:01:31.2955490Z     inductor/test_compile_worker 1/1
2025-07-24T04:01:31.2955690Z     inductor/test_inductor_utils 1/1
2025-07-24T04:01:31.2955890Z     dynamo/test_utils 1/1
2025-07-24T04:01:31.2956050Z     dynamo/test_optimizers 1/1
2025-07-24T04:01:31.2956240Z     export/test_export_strict 1/1
2025-07-24T04:01:31.2956450Z     inductor/test_compile_subprocess 1/1
2025-07-24T04:01:31.2956650Z     inductor/test_b2b_gemm 1/1
2025-07-24T04:01:31.2956840Z     inductor/test_subgraph_choice 1/1
2025-07-24T04:01:31.2957040Z     inductor/test_inplace_padding 1/1
2025-07-24T04:01:31.2957260Z     inductor/test_memory_planning 1/1
2025-07-24T04:01:31.2957460Z     inductor/test_xpu_basic 1/1
2025-07-24T04:01:31.2957660Z     inductor/test_online_softmax 1/1
2025-07-24T04:01:31.2957850Z     inductor/test_profiler 1/1
2025-07-24T04:01:31.2958050Z     dynamo/test_comptime 1/1
2025-07-24T04:01:31.2958230Z     dynamo/test_install_free_tensors 1/1
2025-07-24T04:01:31.2958440Z     inductor/test_ordered_set 1/1
2025-07-24T04:01:31.2958640Z     dynamo/test_list 1/1
2025-07-24T04:01:31.2958870Z     dynamo/test_unittest 1/1
2025-07-24T04:01:31.2959040Z     dynamo/test_model_output 1/1
2025-07-24T04:01:31.2959230Z     inductor/test_cutlass_evt 1/1
2025-07-24T04:01:31.2959440Z     inductor/test_helion_kernels 1/1
2025-07-24T04:01:31.2959630Z     dynamo/test_pgo 1/1
2025-07-24T04:01:31.2959820Z     export/test_upgrader 1/1
2025-07-24T04:01:31.2960010Z     dynamo/test_guard_serialization 1/1
2025-07-24T04:01:31.2960240Z     inductor/test_decompose_mem_bound_mm 1/1
2025-07-24T04:01:31.2960470Z     dynamo/test_graph_deduplication 1/1
2025-07-24T04:01:31.2960690Z     inductor/test_benchmarking 1/1
2025-07-24T04:01:31.2960900Z     dynamo/test_profiler 1/1
2025-07-24T04:01:31.2961110Z     functorch/test_eager_transforms 1/1
2025-07-24T04:01:31.2961330Z     inductor/test_block_analysis 1/1
2025-07-24T04:01:31.2961560Z     dynamo/test_backward_higher_order_ops 1/1
2025-07-24T04:01:31.2961780Z     inductor/test_memory 1/1
2025-07-24T04:01:31.2961980Z     dynamo/test_base_hop 1/1
2025-07-24T04:01:31.2962220Z     dynamo/test_sources 1/1
2025-07-24T04:01:31.2962410Z     dynamo/test_precompile_context 1/1
2025-07-24T04:01:31.2962640Z     dynamo/test_compiler_bisector 1/1
2025-07-24T04:01:31.2962860Z     dynamo/test_package 1/1
2025-07-24T04:01:31.2963040Z     inductor/test_alignment 1/1
2025-07-24T04:01:31.2963270Z     test_model_exports_to_core_aten 1/1
2025-07-24T04:01:31.2963470Z     dynamo/test_modes 1/1
2025-07-24T04:01:31.2963660Z     inductor/test_mps_basic 1/1
2025-07-24T04:01:31.2963850Z     inductor/test_compile 1/1
2025-07-24T04:01:31.2964100Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-07-24T04:01:31.2964360Z     export/test_swap 1/1
2025-07-24T04:01:31.2964540Z     inductor/test_torchbind 1/1
2025-07-24T04:01:31.2964740Z     dynamo/test_sets 1/1
2025-07-24T04:01:31.2964910Z     dynamo/test_deviceguard 1/1
2025-07-24T04:01:31.2965110Z     dynamo/test_debug_utils 1/1
2025-07-24T04:01:31.2965410Z     dynamo/test_recompile_ux 1/1
2025-07-24T04:01:31.2965630Z     inductor/test_auto_functionalize 1/1
2025-07-24T04:01:31.2965840Z     export/test_torchbind 1/1
2025-07-24T04:01:31.2966030Z     inductor/test_unbacked_symints 1/1
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2025-07-24T04:01:31.2979010Z Name: excluded (est. time: 0.0min)
2025-07-24T04:01:31.2979180Z   Serial tests (0):
2025-07-24T04:01:31.2979320Z   Parallel tests (0):
2025-07-24T04:01:31.2979560Z Running inductor/test_max_autotune 1/1 ... [2025-07-24 04:01:31.295980]
2025-07-24T04:01:31.2979840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:01:31.2980620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:01:31.296209]
2025-07-24T04:01:31.2981750Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /Users/ec2-user/runner/_work/pytorch/pytorch/test/.pytorch-disabled-tests.json
2025-07-24T04:01:31.2982310Z Ignoring disabled issues:  ['']
2025-07-24T04:01:35.5765030Z 
2025-07-24T04:01:35.5765640Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_09c7027ec00aa022_.log
2025-07-24T04:01:35.5766110Z 
2025-07-24T04:01:35.5769540Z Running inductor/test_flex_attention 1/1 ... [2025-07-24 04:01:35.576879]
2025-07-24T04:01:35.5769850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:01:35.5772510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:01:35.577133]
2025-07-24T04:01:35.5773380Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-07-24T04:01:35.5773710Z Uploading artifacts took 0.00 seconds
2025-07-24T04:01:38.1587590Z 
2025-07-24T04:01:38.1588220Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_533020073e237ed6_.log
2025-07-24T04:01:38.1742320Z Running 497 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_head_specific_gate_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_indirect_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_inspect_bug_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu
2025-07-24T04:01:38.1887710Z 
2025-07-24T04:01:38.1887880Z Running inductor/test_benchmark_fusion 1/1 ... [2025-07-24 04:01:38.159364]
2025-07-24T04:01:38.1888160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:01:38.1888920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:01:38.159608]
2025-07-24T04:01:40.5624350Z 
2025-07-24T04:01:40.5624950Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_a1572f1bc0ccf8ef_.log
2025-07-24T04:01:40.5625510Z Running 0 items in this shard:
2025-07-24T04:01:40.5625640Z 
2025-07-24T04:01:40.5627440Z Running inductor/test_cutlass_backend 1/1 ... [2025-07-24 04:01:40.562695]
2025-07-24T04:01:40.5627750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:01:40.5630210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:01:40.562945]
2025-07-24T04:01:42.7955970Z 
2025-07-24T04:01:42.7956630Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_dc03b909c604c833_.log
2025-07-24T04:01:42.7957270Z 
2025-07-24T04:01:42.7959100Z Running test_cpp_api_parity 1/1 ... [2025-07-24 04:01:42.795833]
2025-07-24T04:01:42.7959390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:01:42.7961700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:01:42.796092]
2025-07-24T04:02:00.8476990Z 
2025-07-24T04:02:00.8477570Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_964bf3349c91dd92_.log
2025-07-24T04:02:00.8586540Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_linear_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-07-24T04:02:00.8691670Z 
2025-07-24T04:02:00.8691860Z Running test_cpp_extensions_open_device_registration 1/1 ... [2025-07-24 04:02:00.848255]
2025-07-24T04:02:00.8692260Z Running inductor/test_distributed_patterns 1/1 ... [2025-07-24 04:02:00.848434]
2025-07-24T04:02:00.8692630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:02:00.8693400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:02:00.848678]
2025-07-24T04:02:03.0805120Z 
2025-07-24T04:02:03.0805720Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_1528220ce15330d9_.log
2025-07-24T04:02:03.0806230Z 
2025-07-24T04:02:03.0808430Z Running dynamo/test_fake_distributed 1/1 ... [2025-07-24 04:02:03.080770]
2025-07-24T04:02:03.0808730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:02:03.0811470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:02:03.081028]
2025-07-24T04:02:04.9513990Z 
2025-07-24T04:02:04.9514710Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_fa67ace1fae9fad4_.log
2025-07-24T04:02:04.9515810Z Running 1 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd
2025-07-24T04:02:04.9516210Z 
2025-07-24T04:02:04.9517900Z Running test_cpp_extensions_jit 1/1 ... [2025-07-24 04:02:04.951730]
2025-07-24T04:02:04.9518240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:02:04.9521140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:02:04.952010]
2025-07-24T04:03:48.9652950Z 
2025-07-24T04:03:48.9653580Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_7145e332e6dc0c45_.log
2025-07-24T04:03:48.9664090Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning
2025-07-24T04:03:48.9674090Z 
2025-07-24T04:03:48.9674260Z Running test_autograd_fallback 1/1 ... [2025-07-24 04:03:48.965691]
2025-07-24T04:03:48.9674610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:03:48.9675550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:03:48.965997]
2025-07-24T04:03:50.9372710Z 
2025-07-24T04:03:50.9373420Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_9579424dea32b546_.log
2025-07-24T04:03:50.9382790Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn
2025-07-24T04:03:50.9391570Z 
2025-07-24T04:03:50.9391790Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-07-24 04:03:50.937608]
2025-07-24T04:03:50.9392180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:03:50.9393270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:03:50.937913]
2025-07-24T04:03:52.6901460Z 
2025-07-24T04:03:52.6907460Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_4a1950cf2f34b037_.log
2025-07-24T04:03:52.6909290Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-07-24T04:03:52.6910630Z 
2025-07-24T04:03:52.6910820Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-07-24 04:03:52.690447]
2025-07-24T04:03:52.6911140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:03:52.6912110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:03:52.690715]
2025-07-24T04:03:54.4587670Z 
2025-07-24T04:03:54.4588410Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_b6973dd66f9b7086_.log
2025-07-24T04:03:54.4589430Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-07-24T04:03:54.4589870Z 
2025-07-24T04:03:54.4591570Z Running test_torch 1/1 ... [2025-07-24 04:03:54.459097]
2025-07-24T04:03:54.4592150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:03:54.4594870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:03:54.459388]
2025-07-24T04:04:06.4839950Z 
2025-07-24T04:04:06.4840580Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_825db9338e65b559_.log
2025-07-24T04:04:06.5064830Z Running 1045 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_errors_index_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu
2025-07-24T04:04:06.5242830Z 
2025-07-24T04:04:06.5242940Z Running test_fx 1/1 ... [2025-07-24 04:04:06.485155]
2025-07-24T04:04:06.5243180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:04:06.5243870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:04:06.485493]
2025-07-24T04:04:24.0499250Z 
2025-07-24T04:04:24.0499820Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_9b38b4ac63f767ec_.log
2025-07-24T04:04:24.0788510Z Running 1152 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32
2025-07-24T04:04:24.1030460Z 
2025-07-24T04:04:24.1030590Z Running test_show_pickle 1/1 ... [2025-07-24 04:04:24.051237]
2025-07-24T04:04:24.1030840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:04:24.1031560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:04:24.051574]
2025-07-24T04:04:25.9262730Z 
2025-07-24T04:04:25.9263300Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_294b84bcd89f855b_.log
2025-07-24T04:04:25.9264230Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-07-24T04:04:25.9264530Z 
2025-07-24T04:04:25.9266520Z Running test_fake_tensor 1/1 ... [2025-07-24 04:04:25.926601]
2025-07-24T04:04:25.9266820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:04:25.9269590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:04:25.926874]
2025-07-24T04:04:30.6707410Z 
2025-07-24T04:04:30.6707980Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_af7263a786f76c23_.log
2025-07-24T04:04:30.6773660Z Running 284 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device
2025-07-24T04:04:30.6836630Z 
2025-07-24T04:04:30.6836740Z Running test_utils 1/1 ... [2025-07-24 04:04:30.671209]
2025-07-24T04:04:30.6836970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:04:30.6837670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:04:30.671450]
2025-07-24T04:06:07.4718080Z 
2025-07-24T04:06:07.4719900Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_3d78afec969ec02e_.log
2025-07-24T04:06:07.5911140Z Running 6035 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated
2025-07-24T04:06:07.7795720Z 
2025-07-24T04:06:07.7795910Z Running test_multiprocessing 1/1 ... [2025-07-24 04:06:07.476104]
2025-07-24T04:06:07.7796200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:06:07.7796970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:06:07.476416]
2025-07-24T04:09:11.5844340Z 
2025-07-24T04:09:11.5844940Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_f59ee9775a4927d4_.log
2025-07-24T04:09:11.5855960Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork
2025-07-24T04:09:11.5865380Z 
2025-07-24T04:09:11.5865570Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-07-24 04:09:11.584788]
2025-07-24T04:09:12.9510200Z running install
2025-07-24T04:09:12.9511350Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:09:12.9511910Z !!
2025-07-24T04:09:12.9511980Z 
2025-07-24T04:09:12.9512110Z         ********************************************************************************
2025-07-24T04:09:12.9512390Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:09:12.9512660Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:09:12.9512880Z         standards-based tools.
2025-07-24T04:09:12.9513010Z 
2025-07-24T04:09:12.9513220Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:09:12.9513670Z         ********************************************************************************
2025-07-24T04:09:12.9513820Z 
2025-07-24T04:09:12.9513870Z !!
2025-07-24T04:09:12.9513990Z   self.initialize_options()
2025-07-24T04:09:12.9578770Z running build
2025-07-24T04:09:12.9579060Z running build_py
2025-07-24T04:09:12.9616090Z creating build
2025-07-24T04:09:12.9618070Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:12.9618400Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:09:12.9619650Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:09:12.9628960Z running build_ext
2025-07-24T04:09:12.9636980Z building 'torch_test_cpp_extension.cpp' extension
2025-07-24T04:09:12.9637370Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:12.9640920Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-07-24T04:09:19.6221140Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-07-24T04:09:19.6647910Z building 'torch_test_cpp_extension.maia' extension
2025-07-24T04:09:19.6651310Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-07-24T04:09:26.1128170Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-07-24T04:09:26.1561210Z building 'torch_test_cpp_extension.rng' extension
2025-07-24T04:09:26.1564360Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-07-24T04:09:33.2373930Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-07-24T04:09:33.2812820Z building 'torch_test_cpp_extension.mps' extension
2025-07-24T04:09:33.2815530Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-07-24T04:09:36.9141050Z In file included from mps_extension.mm:2:
2025-07-24T04:09:36.9141660Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-07-24T04:09:36.9142710Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-07-24T04:09:36.9143550Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-07-24T04:09:36.9143800Z   ^
2025-07-24T04:09:36.9144600Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-07-24T04:09:36.9145540Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-07-24T04:09:36.9145820Z            ^
2025-07-24T04:09:36.9146380Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-07-24T04:09:36.9146980Z class TORCH_API MPSStream {
2025-07-24T04:09:36.9147140Z                 ^
2025-07-24T04:09:36.9147280Z       API_AVAILABLE(macos(12.0))
2025-07-24T04:09:39.6936160Z 1 warning generated.
2025-07-24T04:09:39.7039350Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-07-24T04:09:39.7468900Z running install_lib
2025-07-24T04:09:39.7506190Z creating install
2025-07-24T04:09:39.7506660Z creating install/Users
2025-07-24T04:09:39.7507220Z creating install/Users/ec2-user
2025-07-24T04:09:39.7507700Z creating install/Users/ec2-user/runner
2025-07-24T04:09:39.7508220Z creating install/Users/ec2-user/runner/_work
2025-07-24T04:09:39.7508690Z creating install/Users/ec2-user/runner/_work/_temp
2025-07-24T04:09:39.7509220Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:09:39.7509800Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib
2025-07-24T04:09:39.7510310Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12
2025-07-24T04:09:39.7510810Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages
2025-07-24T04:09:39.7511880Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7512990Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7523350Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7524450Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7525510Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7526610Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:09:39.7528530Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc
2025-07-24T04:09:39.7535440Z running install_egg_info
2025-07-24T04:09:39.7609420Z running egg_info
2025-07-24T04:09:39.7609780Z creating torch_test_cpp_extension.egg-info
2025-07-24T04:09:39.7636370Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-07-24T04:09:39.7639700Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-07-24T04:09:39.7640890Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-07-24T04:09:39.7642440Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-07-24T04:09:39.7643410Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:09:39.7672900Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:09:39.7676010Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:09:39.7676880Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-07-24T04:09:39.7686110Z running install_scripts
2025-07-24T04:09:40.9542510Z running install
2025-07-24T04:09:40.9543470Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:09:40.9544020Z !!
2025-07-24T04:09:40.9544090Z 
2025-07-24T04:09:40.9544180Z         ********************************************************************************
2025-07-24T04:09:40.9544440Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:09:40.9544690Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:09:40.9544920Z         standards-based tools.
2025-07-24T04:09:40.9545060Z 
2025-07-24T04:09:40.9545260Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:09:40.9545840Z         ********************************************************************************
2025-07-24T04:09:40.9545990Z 
2025-07-24T04:09:40.9546040Z !!
2025-07-24T04:09:40.9546160Z   self.initialize_options()
2025-07-24T04:09:40.9608860Z running build
2025-07-24T04:09:40.9609050Z running build_ext
2025-07-24T04:09:40.9921440Z building 'no_python_abi_suffix_test' extension
2025-07-24T04:09:40.9921990Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build
2025-07-24T04:09:40.9922710Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:41.0654580Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-07-24T04:09:41.0689910Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:41.0692300Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-07-24T04:09:41.1104060Z running install_lib
2025-07-24T04:09:41.1140120Z creating install
2025-07-24T04:09:41.1140610Z creating install/Users
2025-07-24T04:09:41.1141190Z creating install/Users/ec2-user
2025-07-24T04:09:41.1141710Z creating install/Users/ec2-user/runner
2025-07-24T04:09:41.1142250Z creating install/Users/ec2-user/runner/_work
2025-07-24T04:09:41.1142780Z creating install/Users/ec2-user/runner/_work/_temp
2025-07-24T04:09:41.1143380Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T04:09:41.1143910Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib
2025-07-24T04:09:41.1144460Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12
2025-07-24T04:09:41.1145180Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages
2025-07-24T04:09:41.1145880Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages
2025-07-24T04:09:41.1150630Z running install_egg_info
2025-07-24T04:09:41.1228690Z running egg_info
2025-07-24T04:09:41.1228940Z creating no_python_abi_suffix_test.egg-info
2025-07-24T04:09:41.1255490Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-07-24T04:09:41.1259290Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-07-24T04:09:41.1260550Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-07-24T04:09:41.1261630Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-07-24T04:09:41.1289710Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-07-24T04:09:41.1292770Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-07-24T04:09:41.1293620Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-07-24T04:09:41.1302760Z running install_scripts
2025-07-24T04:09:41.3338620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:09:41.3342930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:09:41.334153]
2025-07-24T04:09:43.4428480Z 
2025-07-24T04:09:43.4429130Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_afa6e3960c110c92_.log
2025-07-24T04:09:43.4433840Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library
2025-07-24T04:09:43.4438300Z 
2025-07-24T04:09:43.4438430Z Running test_extension_utils 1/1 ... [2025-07-24 04:09:43.443297]
2025-07-24T04:09:43.4438690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:09:43.4439410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:09:43.443526]
2025-07-24T04:09:45.2680010Z 
2025-07-24T04:09:45.2680530Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_282dc6001587b458_.log
2025-07-24T04:09:45.2681490Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-07-24T04:09:45.2682200Z 
2025-07-24T04:09:45.2683260Z Running test_transformers_privateuse1 1/1 ... [2025-07-24 04:09:45.268282]
2025-07-24T04:09:45.2684840Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-07-24 04:09:45.268459]
2025-07-24T04:09:46.6718590Z running install
2025-07-24T04:09:46.6719710Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:09:46.6720270Z !!
2025-07-24T04:09:46.6720340Z 
2025-07-24T04:09:46.6720430Z         ********************************************************************************
2025-07-24T04:09:46.6720690Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:09:46.6720940Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:09:46.6721160Z         standards-based tools.
2025-07-24T04:09:46.6721270Z 
2025-07-24T04:09:46.6721790Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:09:46.6722140Z         ********************************************************************************
2025-07-24T04:09:46.6722290Z 
2025-07-24T04:09:46.6722340Z !!
2025-07-24T04:09:46.6722460Z   self.initialize_options()
2025-07-24T04:09:46.6786070Z running build
2025-07-24T04:09:46.6786330Z running build_py
2025-07-24T04:09:46.6815980Z creating build
2025-07-24T04:09:46.6816500Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:46.6817150Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:09:46.6817890Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:09:46.6821130Z running build_ext
2025-07-24T04:09:46.7129090Z building 'torch_test_cpp_extension.cpp' extension
2025-07-24T04:09:46.7129590Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312
2025-07-24T04:09:53.4081600Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-07-24T04:09:53.4193150Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-07-24T04:09:53.4625200Z building 'torch_test_cpp_extension.maia' extension
2025-07-24T04:09:59.9819900Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/maia_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-07-24T04:09:59.9858850Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-07-24T04:10:00.0300000Z building 'torch_test_cpp_extension.rng' extension
2025-07-24T04:10:07.2217280Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/rng_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-07-24T04:10:07.2258240Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-07-24T04:10:07.2689360Z building 'torch_test_cpp_extension.mps' extension
2025-07-24T04:10:13.7724640Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-07-24T04:10:13.7728450Z In file included from /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm:2:
2025-07-24T04:10:13.7729110Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-07-24T04:10:13.7730250Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-07-24T04:10:13.7731060Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-07-24T04:10:13.7731310Z   ^
2025-07-24T04:10:13.7732080Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-07-24T04:10:13.7732990Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-07-24T04:10:13.7733260Z            ^
2025-07-24T04:10:13.7733810Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-07-24T04:10:13.7734400Z class TORCH_API MPSStream {
2025-07-24T04:10:13.7734560Z                 ^
2025-07-24T04:10:13.7734710Z       API_AVAILABLE(macos(12.0))
2025-07-24T04:10:13.7734880Z 1 warning generated.
2025-07-24T04:10:13.7763840Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-07-24T04:10:13.8188620Z running install_lib
2025-07-24T04:10:13.8227240Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:10:13.8231750Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:10:13.8234690Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:10:13.8238090Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:10:13.8243780Z running install_egg_info
2025-07-24T04:10:13.8316360Z running egg_info
2025-07-24T04:10:13.8341810Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-07-24T04:10:13.8346060Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-07-24T04:10:13.8347290Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-07-24T04:10:13.8348550Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-07-24T04:10:13.8378650Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:10:13.8382280Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:10:13.8383280Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-07-24T04:10:13.8387090Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-07-24T04:10:13.8395960Z running install_scripts
2025-07-24T04:10:15.0000150Z running install
2025-07-24T04:10:15.0000950Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:10:15.0001510Z !!
2025-07-24T04:10:15.0001590Z 
2025-07-24T04:10:15.0002310Z         ********************************************************************************
2025-07-24T04:10:15.0002570Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:10:15.0002810Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:10:15.0003030Z         standards-based tools.
2025-07-24T04:10:15.0003150Z 
2025-07-24T04:10:15.0003350Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:10:15.0003680Z         ********************************************************************************
2025-07-24T04:10:15.0003830Z 
2025-07-24T04:10:15.0003870Z !!
2025-07-24T04:10:15.0003990Z   self.initialize_options()
2025-07-24T04:10:15.0065690Z running build
2025-07-24T04:10:15.0065960Z running build_ext
2025-07-24T04:10:15.0375840Z building 'no_python_abi_suffix_test' extension
2025-07-24T04:10:15.0907400Z ninja: no work to do.
2025-07-24T04:10:15.0941410Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-07-24T04:10:15.1352560Z running install_lib
2025-07-24T04:10:15.1388150Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages
2025-07-24T04:10:15.1392860Z running install_egg_info
2025-07-24T04:10:15.1470650Z running egg_info
2025-07-24T04:10:15.1496120Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-07-24T04:10:15.1500510Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-07-24T04:10:15.1502030Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-07-24T04:10:15.1530180Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-07-24T04:10:15.1533660Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-07-24T04:10:15.1534580Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it)
2025-07-24T04:10:15.1538220Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-07-24T04:10:15.1545400Z running install_scripts
2025-07-24T04:10:15.3564700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:15.3568500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:15.356731]
2025-07-24T04:10:17.4762560Z 
2025-07-24T04:10:17.4763190Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_eee9c118887a5550_.log
2025-07-24T04:10:17.4768120Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library
2025-07-24T04:10:17.4772470Z 
2025-07-24T04:10:17.4772590Z Running test_dispatch 1/1 ... [2025-07-24 04:10:17.476673]
2025-07-24T04:10:17.4772840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:17.4773540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:17.476906]
2025-07-24T04:10:37.3857170Z 
2025-07-24T04:10:37.3857820Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_ddce5f65ad01f6f3_.log
2025-07-24T04:10:37.3865350Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented
2025-07-24T04:10:37.3872170Z 
2025-07-24T04:10:37.3872310Z Running test_autocast 1/1 ... [2025-07-24 04:10:37.386061]
2025-07-24T04:10:37.3872600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:37.3873440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:37.386335]
2025-07-24T04:10:39.7412290Z 
2025-07-24T04:10:39.7412800Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_d2ca2d398a6cec56_.log
2025-07-24T04:10:39.7417240Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-07-24T04:10:39.7421380Z 
2025-07-24T04:10:39.7421540Z Running test_tensor_creation_ops 1/1 ... [2025-07-24 04:10:39.741567]
2025-07-24T04:10:39.7421850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:39.7422910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:39.741847]
2025-07-24T04:10:50.0350780Z 
2025-07-24T04:10:50.0351320Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_8d33fe0930b04a15_.log
2025-07-24T04:10:50.0487330Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32
2025-07-24T04:10:50.0617450Z 
2025-07-24T04:10:50.0617590Z Running test_ci_sanity_check_fail 1/1 ... [2025-07-24 04:10:50.035716]
2025-07-24T04:10:50.0617860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:50.0618580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:50.035972]
2025-07-24T04:10:55.4903800Z Running test_openreg 1/1 ... [2025-07-24 04:10:55.490251]
2025-07-24T04:10:55.4904690Z Running test_native_mha 1/1 ... [2025-07-24 04:10:55.490441]
2025-07-24T04:10:55.4904960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:55.4907850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:55.490666]
2025-07-24T04:10:57.4269140Z 
2025-07-24T04:10:57.4269630Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_e29f6af45ba625ca_.log
2025-07-24T04:10:57.4282100Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32
2025-07-24T04:10:57.4294260Z 
2025-07-24T04:10:57.4294410Z Running test_sort_and_select 1/1 ... [2025-07-24 04:10:57.427210]
2025-07-24T04:10:57.4294680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:10:57.4295420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:10:57.427449]
2025-07-24T04:11:00.3125420Z 
2025-07-24T04:11:00.3126060Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_56b935e6a6abb407_.log
2025-07-24T04:11:00.3154330Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu
2025-07-24T04:11:00.3187260Z 
2025-07-24T04:11:00.3187410Z Running test_tensorexpr 1/1 ... [2025-07-24 04:11:00.312971]
2025-07-24T04:11:00.3187710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:11:00.3188560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:11:00.313274]
2025-07-24T04:11:11.5613400Z 
2025-07-24T04:11:11.5613900Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_f7d7f69b075c0a4b_.log
2025-07-24T04:11:11.5626770Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where
2025-07-24T04:11:11.5639350Z 
2025-07-24T04:11:11.5639460Z Running test_nn 1/1 ... [2025-07-24 04:11:11.561676]
2025-07-24T04:11:11.5639710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:11:11.5640470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:11:11.561960]
2025-07-24T04:13:03.0595120Z 
2025-07-24T04:13:03.0595620Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_2c9dbd405a3cf883_.log
2025-07-24T04:13:03.1813600Z Running 3422 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_BatchNorm_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_Bilinear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_empty_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GRU_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_memory_format_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_raises_error_if_one_value_per_group_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm1d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm2d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm3d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LocalResponseNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_warnings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_deterministic_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_fails_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad1d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Transformer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Unfold_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_adaptiveavg_pool1d_shmem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate45_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate90_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_3d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_update_stats_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_channel_shuffle_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_error_if_nonfinite_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_errors_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_weight_ignore_indices_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_with_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_index_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_one_hot_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_all_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cpu_length_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_device_mask_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_with_neg_alpha_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_fold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_glu_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_bfloat16_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_gumbel_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardsigmoid_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_for_single_spatial_element_during_training_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_less_than_one_value_per_channel_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_invalid_reduction_strings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_weight_bias_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_neg_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_zero_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_linear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_big_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_logsigmoid_out_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_lstmcell_backward_only_one_output_grad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_TxT_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_devices_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_forward_with_nans_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mask_types_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_transformer_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_non_recursive_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mse_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_all_ignored_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_byte_target_matches_long_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_target_dim_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_mismatched_batch_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_out_of_bounds_ignore_index_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_total_weight_is_zero_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nonlinearity_propagate_nan_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_one_hot_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_overwrite_module_params_on_conversion_cpu_device_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_prelu_backward_32bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_replicatepad_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_save_lstm_compatibility_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_silu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_skip_init_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_vs_huber_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smoothl1loss_backward_zero_beta_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_smem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_grad_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_without_fully_vectorized_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_double_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_forward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_results_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_low_threshold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_negative_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_threshold_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_fast_path_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_gelu_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_default_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_mps_int64, 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test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_mps, 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test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_rescale_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingnearest2d_backward_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_variable_sequence_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float32
2025-07-24T04:13:03.3312400Z 
2025-07-24T04:13:03.3312560Z Running nn/test_convolution 1/1 ... [2025-07-24 04:13:03.063324]
2025-07-24T04:13:03.3312860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:13:03.3313600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:13:03.063636]
2025-07-24T04:15:05.1874670Z 
2025-07-24T04:15:05.1875160Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_b00360f4074f5ef0_.log
2025-07-24T04:15:05.2257400Z Running 1151 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow1d_transposed_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_transposed_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cpu_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_contiguous_for_oneDNN_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_mismatch_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_ndhwc_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_ndhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_support_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_support_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_groups_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_no_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_stride_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_strided_with_3D_input_and_weight_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_ic1_channels_last_for_oneDNN_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_batch_1_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_nosplit_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_and_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transposed_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv2d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv3d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_add_relu_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_add_relu_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_relu_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_relu_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_depthwise_conv_64bit_indexing_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_group_convTranspose_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_group_conv_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float64
2025-07-24T04:15:05.2625180Z 
2025-07-24T04:15:05.2625370Z Running test_multiprocessing_spawn 1/1 ... [2025-07-24 04:15:05.189214]
2025-07-24T04:15:05.2625640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:15:05.2626390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:15:05.189502]
2025-07-24T04:17:59.7585070Z 
2025-07-24T04:17:59.7586010Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_a6e775bfb748de10_.log
2025-07-24T04:17:59.7593620Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable
2025-07-24T04:17:59.7600650Z 
2025-07-24T04:17:59.7600780Z Running nn/test_pooling 1/1 ... [2025-07-24 04:17:59.758848]
2025-07-24T04:17:59.7601060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:17:59.7601850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:17:59.759117]
2025-07-24T04:18:17.6693890Z 
2025-07-24T04:18:17.6694380Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_a76489570ad81ca1_.log
2025-07-24T04:18:17.6737740Z Running 188 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool2d_empty_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool3d_backward_after_cat_dim1_device_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_errors_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case10_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case4_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case5_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case6_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case7_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case8_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case9_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool2d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool3d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_max_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pool_odd_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool3d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_indices_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_with_indices_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool3d_non_square_backward_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool_indices_no_batch_dim_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_large_size_int64_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_size_one_feature_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_invalid_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_large_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_bfloat16_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_large_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_zero_stride_mps
2025-07-24T04:18:17.6778810Z 
2025-07-24T04:18:17.6779140Z Running test_mobile_optimizer 1/1 ... [2025-07-24 04:18:17.669769]
2025-07-24T04:18:17.6779420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:17.6780140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:17.670018]
2025-07-24T04:18:19.6748330Z 
2025-07-24T04:18:19.6748980Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_6c8bfb82884b47c8_.log
2025-07-24T04:18:19.6751300Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures
2025-07-24T04:18:19.6753130Z 
2025-07-24T04:18:19.6753310Z Running test_namedtuple_return_api 1/1 ... [2025-07-24 04:18:19.675192]
2025-07-24T04:18:19.6753670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:19.6755980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:19.675491]
2025-07-24T04:18:22.1107010Z 
2025-07-24T04:18:22.1107630Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_cdfb6745f46d1a1d_.log
2025-07-24T04:18:22.1108780Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml
2025-07-24T04:18:22.1109810Z 
2025-07-24T04:18:22.1110520Z Running test_python_dispatch 1/1 ... [2025-07-24 04:18:22.110998]
2025-07-24T04:18:22.1110810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:22.1113240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:22.111249]
2025-07-24T04:18:27.9613480Z 
2025-07-24T04:18:27.9614070Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_9954adadaf7aeffd_.log
2025-07-24T04:18:27.9640100Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_autograd_device_check, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32
2025-07-24T04:18:27.9665120Z 
2025-07-24T04:18:27.9665250Z Running test_jit_disabled 1/1 ... [2025-07-24 04:18:27.961690]
2025-07-24T04:18:27.9665510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:27.9666260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:27.961941]
2025-07-24T04:18:29.9409750Z 
2025-07-24T04:18:29.9410530Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_a31ba7412530aed1_.log
2025-07-24T04:18:29.9411510Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction
2025-07-24T04:18:29.9412130Z 
2025-07-24T04:18:29.9412850Z Running test_spectral_ops 1/1 ... [2025-07-24 04:18:29.941242]
2025-07-24T04:18:29.9413310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:29.9415770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:29.941504]
2025-07-24T04:18:34.9934560Z 
2025-07-24T04:18:34.9935090Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_c410d58c857fac41_.log
2025-07-24T04:18:34.9993790Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, 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test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu
2025-07-24T04:18:35.0046060Z 
2025-07-24T04:18:35.0046200Z Running test_reductions 1/1 ... [2025-07-24 04:18:34.993922]
2025-07-24T04:18:35.0046460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:18:35.0047170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:18:34.994192]
2025-07-24T04:19:56.2420620Z 
2025-07-24T04:19:56.2421240Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_3d5fd4777edf8c15_.log
2025-07-24T04:19:56.3411910Z Running 4565 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, 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test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64
2025-07-24T04:19:56.4592380Z 
2025-07-24T04:19:56.4592550Z Running test_cuda_trace 1/1 ... [2025-07-24 04:19:56.245666]
2025-07-24T04:19:56.4592820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:19:56.4593880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:19:56.245994]
2025-07-24T04:19:57.9534540Z 
2025-07-24T04:19:57.9535070Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_e99fddcb228d62d4_.log
2025-07-24T04:19:57.9535690Z Running 0 items in this shard:
2025-07-24T04:19:57.9535840Z 
2025-07-24T04:19:57.9538220Z Running test_cuda_nvml_based_avail 1/1 ... [2025-07-24 04:19:57.953738]
2025-07-24T04:19:57.9538520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:19:57.9540720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:19:57.953984]
2025-07-24T04:19:59.6369600Z 
2025-07-24T04:19:59.6370170Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_6787e6f9b8f8973d_.log
2025-07-24T04:19:59.6370780Z Running 0 items in this shard:
2025-07-24T04:19:59.6370910Z 
2025-07-24T04:19:59.6372740Z Running test_overrides 1/1 ... [2025-07-24 04:19:59.637219]
2025-07-24T04:19:59.6373010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:19:59.6375340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:19:59.637460]
2025-07-24T04:20:03.2246150Z 
2025-07-24T04:20:03.2246710Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_2771416d155d4fed_.log
2025-07-24T04:20:03.2528130Z Running 1468 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-07-24T04:20:03.2792550Z 
2025-07-24T04:20:03.2792690Z Running test_cuda_primary_ctx 1/1 ... [2025-07-24 04:20:03.225848]
2025-07-24T04:20:03.2792950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:20:03.2793910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:20:03.226140]
2025-07-24T04:20:05.0134030Z 
2025-07-24T04:20:05.0134620Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_27366717c4e9487d_.log
2025-07-24T04:20:05.0135130Z Running 0 items in this shard:
2025-07-24T04:20:05.0135280Z 
2025-07-24T04:20:05.0137540Z Running distributions/test_distributions 1/1 ... [2025-07-24 04:20:05.013694]
2025-07-24T04:20:05.0137860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:20:05.0140330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:20:05.013952]
2025-07-24T04:20:26.5120140Z 
2025-07-24T04:20:26.5120930Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_8bcb5114e45d5b8e_.log
2025-07-24T04:20:26.5191580Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance
2025-07-24T04:20:26.5253210Z 
2025-07-24T04:20:26.5253330Z Running doctests 1/1 ... [2025-07-24 04:20:26.512540]
2025-07-24T04:20:26.6789860Z Start doctest_module('/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch')
2025-07-24T04:20:26.6790300Z Listing tests
2025-07-24T04:20:26.6790800Z msg = Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=392.
2025-07-24T04:20:26.6791400Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:26.6791780Z Registers the function implementation as the fallback for the given key.
2025-07-24T04:20:26.6792000Z 
2025-07-24T04:20:26.6792150Z         This function only works for a library with global namespace ("_").
2025-07-24T04:20:26.6792360Z 
2025-07-24T04:20:26.6792410Z         Args:
2025-07-24T04:20:26.6792680Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-07-24T04:20:26.6793000Z                 to register a fallthrough.
2025-07-24T04:20:26.6793350Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-07-24T04:20:26.6793730Z                           the dispatch key that the library was created with.
2025-07-24T04:20:26.6794410Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-07-24T04:20:26.6794900Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-07-24T04:20:26.6795170Z 
2025-07-24T04:20:26.6795240Z         Example::
2025-07-24T04:20:26.6795330Z 
2025-07-24T04:20:26.6795400Z             >>> my_lib = Library("_", "IMPL")
2025-07-24T04:20:26.6795620Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-07-24T04:20:26.6795860Z             >>>     # Handle all autocast ops generically
2025-07-24T04:20:26.6796050Z             >>>     # ...
2025-07-24T04:20:26.6796340Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-07-24T04:20:26.6796540Z         
2025-07-24T04:20:26.6796980Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-07-24T04:20:26.6797400Z 
2025-07-24T04:20:26.6797480Z my_lib.fallback(fallback_kernel, "Autocast")
2025-07-24T04:20:26.6797680Z ^
2025-07-24T04:20:26.6798090Z msg = Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=954.
2025-07-24T04:20:26.6798710Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:26.6799080Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-07-24T04:20:26.6799290Z 
2025-07-24T04:20:26.6799480Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-07-24T04:20:26.6799670Z 
2025-07-24T04:20:26.6799820Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-07-24T04:20:26.6800170Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-07-24T04:20:26.6800520Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-07-24T04:20:26.6800820Z     what the properties of the output Tensors are.
2025-07-24T04:20:26.6800970Z 
2025-07-24T04:20:26.6801110Z     The FakeTensor implementation has the same signature as the operator.
2025-07-24T04:20:26.6801440Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-07-24T04:20:26.6801770Z     implementation, assume that all Tensor inputs to the operator are
2025-07-24T04:20:26.6802090Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-07-24T04:20:26.6802410Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-07-24T04:20:26.6802740Z     The FakeTensor implementation must consist of only PyTorch operations
2025-07-24T04:20:26.6803060Z     (and may not directly access the storage or data of any input or
2025-07-24T04:20:26.6803300Z     intermediate Tensors).
2025-07-24T04:20:26.6803410Z 
2025-07-24T04:20:26.6803510Z     This API may be used as a decorator (see examples).
2025-07-24T04:20:26.6803680Z 
2025-07-24T04:20:26.6803760Z     For a detailed guide on custom ops, please see
2025-07-24T04:20:26.6804060Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-07-24T04:20:26.6804270Z 
2025-07-24T04:20:26.6804310Z     Args:
2025-07-24T04:20:26.6804520Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-07-24T04:20:26.6804790Z         func: Fake tensor implementation.
2025-07-24T04:20:26.6805050Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-07-24T04:20:26.6805350Z         allow_override: Flag controlling if we want to override an
2025-07-24T04:20:26.6805650Z                         existing registered fake impl. This is by default off,
2025-07-24T04:20:26.6805940Z                         and will error you're trying to register a fake impl to
2025-07-24T04:20:26.6806230Z                         an operator that already has a fake impl. This also only
2025-07-24T04:20:26.6806510Z                         applies if the custom operator was not created via
2025-07-24T04:20:26.6806840Z                         torch.library.custom_op, as overriding and existing fake
2025-07-24T04:20:26.6807100Z                         impl is already allowed.
2025-07-24T04:20:26.6807240Z 
2025-07-24T04:20:26.6807290Z     Examples:
2025-07-24T04:20:26.6807410Z         >>> import torch
2025-07-24T04:20:26.6807570Z         >>> import numpy as np
2025-07-24T04:20:26.6807740Z         >>> from torch import Tensor
2025-07-24T04:20:26.6807920Z         >>>
2025-07-24T04:20:26.6808100Z         >>> # Example 1: an operator without data-dependent output shape
2025-07-24T04:20:26.6808420Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-07-24T04:20:26.6808800Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-07-24T04:20:26.6809120Z         >>>     raise NotImplementedError("Implementation goes here")
2025-07-24T04:20:26.6809340Z         >>>
2025-07-24T04:20:26.6809520Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-07-24T04:20:26.6809750Z         >>> def _(x, weight, bias):
2025-07-24T04:20:26.6809930Z         >>>     assert x.dim() == 2
2025-07-24T04:20:26.6810120Z         >>>     assert weight.dim() == 2
2025-07-24T04:20:26.6810310Z         >>>     assert bias.dim() == 1
2025-07-24T04:20:26.6810510Z         >>>     assert x.shape[1] == weight.shape[1]
2025-07-24T04:20:26.6810770Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-07-24T04:20:26.6811000Z         >>>     assert x.device == weight.device
2025-07-24T04:20:26.6811180Z         >>>
2025-07-24T04:20:26.6811340Z         >>>     return (x @ weight.t()) + bias
2025-07-24T04:20:26.6811530Z         >>>
2025-07-24T04:20:26.6811710Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-07-24T04:20:26.6811940Z         >>>     x = torch.randn(2, 3)
2025-07-24T04:20:26.6812120Z         >>>     w = torch.randn(3, 3)
2025-07-24T04:20:26.6812300Z         >>>     b = torch.randn(3)
2025-07-24T04:20:26.6812510Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-07-24T04:20:26.6812710Z         >>>
2025-07-24T04:20:26.6812830Z         >>> assert y.shape == (2, 3)
2025-07-24T04:20:26.6812990Z         >>>
2025-07-24T04:20:26.6813180Z         >>> # Example 2: an operator with data-dependent output shape
2025-07-24T04:20:26.6813490Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-07-24T04:20:26.6813770Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-07-24T04:20:26.6813980Z         >>>     x_np = x.numpy(force=True)
2025-07-24T04:20:26.6814200Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-07-24T04:20:26.6814430Z         >>>     return torch.tensor(res, device=x.device)
2025-07-24T04:20:26.6814620Z         >>>
2025-07-24T04:20:26.6814800Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-07-24T04:20:26.6815020Z         >>> def _(x):
2025-07-24T04:20:26.6815200Z         >>> # Number of nonzero-elements is data-dependent.
2025-07-24T04:20:26.6815460Z         >>> # Since we cannot peek at the data in an fake impl,
2025-07-24T04:20:26.6815720Z         >>> # we use the ctx object to construct a new symint that
2025-07-24T04:20:26.6815960Z         >>> # represents the data-dependent size.
2025-07-24T04:20:26.6816180Z         >>>     ctx = torch.library.get_ctx()
2025-07-24T04:20:26.6816380Z         >>>     nnz = ctx.new_dynamic_size()
2025-07-24T04:20:26.6816570Z         >>>     shape = [nnz, x.dim()]
2025-07-24T04:20:26.6816790Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-07-24T04:20:26.6817010Z         >>>     return result
2025-07-24T04:20:26.6817150Z         >>>
2025-07-24T04:20:26.6817330Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-07-24T04:20:26.6817550Z         >>>
2025-07-24T04:20:26.6817690Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-07-24T04:20:26.6817970Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-07-24T04:20:26.6818300Z         >>> trace.print_readable()
2025-07-24T04:20:26.6818460Z         >>>
2025-07-24T04:20:26.6818670Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-07-24T04:20:26.6818870Z 
2025-07-24T04:20:26.6818920Z     
2025-07-24T04:20:26.6819290Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-07-24T04:20:26.6819660Z 
2025-07-24T04:20:26.6819710Z _._ = None
2025-07-24T04:20:26.6819820Z ^
2025-07-24T04:20:26.6820260Z msg = Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=1089.
2025-07-24T04:20:26.6820900Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.6821210Z Register a backward formula for this custom op.
2025-07-24T04:20:26.6821370Z 
2025-07-24T04:20:26.6821500Z     In order for an operator to work with autograd, you need to register
2025-07-24T04:20:26.6821740Z     a backward formula:
2025-07-24T04:20:26.6821970Z     1. You must tell us how to compute gradients during the backward pass
2025-07-24T04:20:26.6822230Z     by providing us a "backward" function.
2025-07-24T04:20:26.6822490Z     2. If you need any values from the forward to compute gradients, you can
2025-07-24T04:20:26.6822810Z     use `setup_context` to save values for backward.
2025-07-24T04:20:26.6822960Z 
2025-07-24T04:20:26.6823100Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-07-24T04:20:26.6823460Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-07-24T04:20:26.6823720Z     the number of outputs of the operator.
2025-07-24T04:20:26.6823990Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-07-24T04:20:26.6824340Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-07-24T04:20:26.6824660Z     same as :meth:`torch.autograd.Function.backward`.
2025-07-24T04:20:26.6824830Z 
2025-07-24T04:20:26.6824960Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-07-24T04:20:26.6825290Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-07-24T04:20:26.6825640Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-07-24T04:20:26.6825970Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-07-24T04:20:26.6826290Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-07-24T04:20:26.6826620Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-07-24T04:20:26.6826810Z 
2025-07-24T04:20:26.6826950Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-07-24T04:20:26.6827280Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-07-24T04:20:26.6827630Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-07-24T04:20:26.6827970Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-07-24T04:20:26.6828180Z 
2025-07-24T04:20:26.6828310Z     If you need different autograd behavior on different devices, then we
2025-07-24T04:20:26.6828640Z     recommend creating two different custom operators, one for each device
2025-07-24T04:20:26.6828990Z     that needs different behavior, and switching between them at runtime.
2025-07-24T04:20:26.6829190Z 
2025-07-24T04:20:26.6829240Z     Examples:
2025-07-24T04:20:26.6829370Z         >>> import torch
2025-07-24T04:20:26.6829520Z         >>> import numpy as np
2025-07-24T04:20:26.6829700Z         >>> from torch import Tensor
2025-07-24T04:20:26.6829870Z         >>>
2025-07-24T04:20:26.6830060Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-07-24T04:20:26.6830320Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-07-24T04:20:26.6830520Z         >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:26.6830740Z         >>>     y_np = np.sin(x_np)
2025-07-24T04:20:26.6830960Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-07-24T04:20:26.6831160Z         >>>
2025-07-24T04:20:26.6831320Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-07-24T04:20:26.6831530Z         >>>     x, = inputs
2025-07-24T04:20:26.6831700Z         >>>     ctx.save_for_backward(x)
2025-07-24T04:20:26.6831870Z         >>>
2025-07-24T04:20:26.6832000Z         >>> def backward(ctx, grad):
2025-07-24T04:20:26.6832180Z         >>>     x, = ctx.saved_tensors
2025-07-24T04:20:26.6832360Z         >>>     return grad * x.cos()
2025-07-24T04:20:26.6832530Z         >>>
2025-07-24T04:20:26.6832670Z         >>> torch.library.register_autograd(
2025-07-24T04:20:26.6832960Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-07-24T04:20:26.6833180Z         ... )
2025-07-24T04:20:26.6833300Z         >>>
2025-07-24T04:20:26.6833440Z         >>> x = torch.randn(3, requires_grad=True)
2025-07-24T04:20:26.6833640Z         >>> y = numpy_sin(x)
2025-07-24T04:20:26.6833850Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-07-24T04:20:26.6834100Z         >>> assert torch.allclose(grad_x, x.cos())
2025-07-24T04:20:26.6834280Z         >>>
2025-07-24T04:20:26.6834420Z         >>> # Example with a keyword-only arg
2025-07-24T04:20:26.6834720Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-07-24T04:20:26.6835000Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-07-24T04:20:26.6835230Z         >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:26.6835440Z         >>>     y_np = x_np * val
2025-07-24T04:20:26.6835690Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-07-24T04:20:26.6835910Z         >>>
2025-07-24T04:20:26.6836140Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-07-24T04:20:26.6836450Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-07-24T04:20:26.6836650Z         >>>
2025-07-24T04:20:26.6836800Z         >>> def backward(ctx, grad):
2025-07-24T04:20:26.6836990Z         >>>     return grad * ctx.val
2025-07-24T04:20:26.6837180Z         >>>
2025-07-24T04:20:26.6847330Z         >>> torch.library.register_autograd(
2025-07-24T04:20:26.6847640Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-07-24T04:20:26.6847870Z         ... )
2025-07-24T04:20:26.6848000Z         >>>
2025-07-24T04:20:26.6848150Z         >>> x = torch.randn(3, requires_grad=True)
2025-07-24T04:20:26.6848360Z         >>> y = numpy_mul(x, val=3.14)
2025-07-24T04:20:26.6848590Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-07-24T04:20:26.6848880Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-07-24T04:20:26.6849050Z 
2025-07-24T04:20:26.6849100Z     
2025-07-24T04:20:26.6849310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.6926560Z 
2025-07-24T04:20:26.6927130Z msg = Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=1503.
2025-07-24T04:20:26.6927720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.6928090Z Given an operator and some sample arguments, tests if the operator is
2025-07-24T04:20:26.6928350Z     registered correctly.
2025-07-24T04:20:26.6928460Z 
2025-07-24T04:20:26.6928600Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-07-24T04:20:26.6928960Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-07-24T04:20:26.6929330Z     and these APIs require that the functions you pass them satisfy certain
2025-07-24T04:20:26.6929690Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-07-24T04:20:26.6929990Z     ``opcheck`` tests these metadata and properties.
2025-07-24T04:20:26.6930160Z 
2025-07-24T04:20:26.6930460Z     Concretely, we test the following:
2025-07-24T04:20:26.6930590Z 
2025-07-24T04:20:26.6930710Z     - test_schema: If the schema matches the implementation of
2025-07-24T04:20:26.6931020Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-07-24T04:20:26.6931350Z       then we check the implementation mutates the Tensor. If the schema
2025-07-24T04:20:26.6931670Z       specifies that we return a new Tensor, then we check that the
2025-07-24T04:20:26.6931980Z       implementation returns a new Tensor (instead of an existing one or
2025-07-24T04:20:26.6932240Z       a view of an existing one).
2025-07-24T04:20:26.6932490Z     - test_autograd_registration: If the operator supports training
2025-07-24T04:20:26.6932870Z       (autograd): we check that its autograd formula is registered via
2025-07-24T04:20:26.6933190Z       torch.library.register_autograd or a manual registration to one
2025-07-24T04:20:26.6933510Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-07-24T04:20:26.6933780Z       registrations may lead to undefined behavior.
2025-07-24T04:20:26.6934040Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-07-24T04:20:26.6934330Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-07-24T04:20:26.6934630Z       but not sufficient) for the operator to work with PyTorch compilation
2025-07-24T04:20:26.6935000Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-07-24T04:20:26.6935320Z       (also sometimes known as a meta kernel) was registered for the
2025-07-24T04:20:26.6935690Z       operator and that it is correct. This test takes the result of
2025-07-24T04:20:26.6935990Z       running the operator on real tensors and the result of running
2025-07-24T04:20:26.6936290Z       the operator on FakeTensors and checks that they have the same
2025-07-24T04:20:26.6936570Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-07-24T04:20:26.6936850Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-07-24T04:20:26.6937150Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-07-24T04:20:26.6937450Z       This checks that the outputs (and gradients, if applicable) are the
2025-07-24T04:20:26.6937740Z       same under eager-mode PyTorch and torch.compile.
2025-07-24T04:20:26.6938010Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-07-24T04:20:26.6938290Z       other things it tests are that the operator supports
2025-07-24T04:20:26.6938590Z       functionalization and that the backward pass (if it exists) also
2025-07-24T04:20:26.6938860Z       supports FakeTensor and functionalization.
2025-07-24T04:20:26.6939010Z 
2025-07-24T04:20:26.6939140Z     For best results, please call ``opcheck`` multiple times with a
2025-07-24T04:20:26.6939430Z     representative set of inputs. If your operator supports
2025-07-24T04:20:26.6939750Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-07-24T04:20:26.6940100Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-07-24T04:20:26.6940390Z     use ``opcheck`` with inputs on all supported devices.
2025-07-24T04:20:26.6940560Z 
2025-07-24T04:20:26.6940600Z     Args:
2025-07-24T04:20:26.6940780Z         op: The operator. Must either be a function decorated with
2025-07-24T04:20:26.6941090Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-07-24T04:20:26.6941420Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-07-24T04:20:26.6941690Z         args: The args to the operator
2025-07-24T04:20:26.6941890Z         kwargs: The kwargs to the operator
2025-07-24T04:20:26.6942140Z         test_utils: Tests that we should run. Default: all of them.
2025-07-24T04:20:26.6942410Z             Example: ("test_schema", "test_faketensor")
2025-07-24T04:20:26.6942680Z         raise_exception: If we should raise an exception on the first
2025-07-24T04:20:26.6942980Z             error. If False, we will return a dict with information
2025-07-24T04:20:26.6943260Z             on if each test passed or not.
2025-07-24T04:20:26.6943540Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-07-24T04:20:26.6943840Z             If specified ``atol`` must also be specified.
2025-07-24T04:20:26.6944110Z             If omitted, default values based on the ``dtype`` are selected
2025-07-24T04:20:26.6944400Z             (see the table in :func:`torch.testing.assert_close`).
2025-07-24T04:20:26.6944720Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-07-24T04:20:26.6945020Z             If specified ``rtol`` must also be specified.
2025-07-24T04:20:26.6945320Z             If omitted, default values based on the ``dtype`` are selected
2025-07-24T04:20:26.6945610Z             (see the table in :func:`torch.testing.assert_close`).
2025-07-24T04:20:26.6945770Z 
2025-07-24T04:20:26.6945820Z     .. warning::
2025-07-24T04:20:26.6945910Z 
2025-07-24T04:20:26.6946040Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-07-24T04:20:26.6946370Z         opcheck tests if your usage of torch.library APIs is correct while
2025-07-24T04:20:26.6946710Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-07-24T04:20:26.6947030Z         mathematically correct. Use both to test custom ops that support
2025-07-24T04:20:26.6947310Z         gradient computation.
2025-07-24T04:20:26.6947430Z 
2025-07-24T04:20:26.6947480Z     Example:
2025-07-24T04:20:26.6947560Z 
2025-07-24T04:20:26.6947680Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:26.6947960Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-07-24T04:20:26.6948240Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-07-24T04:20:26.6948450Z         >>>     x_np = x.numpy(force=True)
2025-07-24T04:20:26.6948640Z         >>>     z_np = x_np * y
2025-07-24T04:20:26.6948830Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-07-24T04:20:26.6949030Z         >>>
2025-07-24T04:20:26.6949160Z         >>> @numpy_mul.register_fake
2025-07-24T04:20:26.6949330Z         >>> def _(x, y):
2025-07-24T04:20:26.6949490Z         >>>     return torch.empty_like(x)
2025-07-24T04:20:26.6949670Z         >>>
2025-07-24T04:20:26.6949810Z         >>> def setup_context(ctx, inputs, output):
2025-07-24T04:20:26.6950010Z         >>>     y, = inputs
2025-07-24T04:20:26.6950160Z         >>>     ctx.y = y
2025-07-24T04:20:26.6950300Z         >>>
2025-07-24T04:20:26.6950420Z         >>> def backward(ctx, grad):
2025-07-24T04:20:26.6950610Z         >>>     return grad * ctx.y, None
2025-07-24T04:20:26.6950770Z         >>>
2025-07-24T04:20:26.6950980Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-07-24T04:20:26.6951220Z         >>>
2025-07-24T04:20:26.6951340Z         >>> sample_inputs = [
2025-07-24T04:20:26.6951510Z         >>>     (torch.randn(3), 3.14),
2025-07-24T04:20:26.6951720Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-07-24T04:20:26.6951970Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-07-24T04:20:26.6952240Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-07-24T04:20:26.6952460Z         >>> ]
2025-07-24T04:20:26.6952580Z         >>>
2025-07-24T04:20:26.6952710Z         >>> for args in sample_inputs:
2025-07-24T04:20:26.6952920Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-07-24T04:20:26.6953070Z 
2025-07-24T04:20:26.6953110Z     
2025-07-24T04:20:26.6953330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.6953540Z 
2025-07-24T04:20:26.6953920Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-07-24T04:20:26.6954500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.6954760Z 
2025-07-24T04:20:26.6954840Z dim_order(ambiguity_check=False) -> tuple
2025-07-24T04:20:26.6954970Z 
2025-07-24T04:20:26.6955110Z Returns the uniquely determined tuple of int describing the dim order or
2025-07-24T04:20:26.6955380Z physical layout of :attr:`self`.
2025-07-24T04:20:26.6955500Z 
2025-07-24T04:20:26.6955660Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-07-24T04:20:26.6955990Z starting from the outermost to the innermost dimension.
2025-07-24T04:20:26.6956150Z 
2025-07-24T04:20:26.6956270Z Note that the dim order may not always be uniquely determined.
2025-07-24T04:20:26.6956680Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-07-24T04:20:26.6957260Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-07-24T04:20:26.6957710Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-07-24T04:20:26.6958130Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-07-24T04:20:26.6958460Z Otherwise, it will raise TypeError.
2025-07-24T04:20:26.6958590Z 
2025-07-24T04:20:26.6958630Z Args:
2025-07-24T04:20:26.6958890Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-07-24T04:20:26.6959150Z 
2025-07-24T04:20:26.6959220Z Examples::
2025-07-24T04:20:26.6959300Z 
2025-07-24T04:20:26.6959370Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-07-24T04:20:26.6959540Z     (0, 1, 2, 3)
2025-07-24T04:20:26.6959750Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-07-24T04:20:26.6959960Z     (0, 2, 1, 3)
2025-07-24T04:20:26.6960170Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-07-24T04:20:26.6960410Z     (0, 2, 3, 1)
2025-07-24T04:20:26.6960550Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-07-24T04:20:26.6960730Z     (0, 1, 2, 3)
2025-07-24T04:20:26.6960850Z     >>> try:
2025-07-24T04:20:26.6961030Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-07-24T04:20:26.6961270Z     ... except RuntimeError as e:
2025-07-24T04:20:26.6961430Z     ...     print(e)
2025-07-24T04:20:26.6961710Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-07-24T04:20:26.6962030Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-07-24T04:20:26.6962290Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-07-24T04:20:26.6962570Z     ... )  # It can be mapped to contiguous format
2025-07-24T04:20:26.6962760Z     (0, 1, 2, 3)
2025-07-24T04:20:26.6962880Z     >>> try:
2025-07-24T04:20:26.6963060Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-07-24T04:20:26.6963300Z     ... except TypeError as e:
2025-07-24T04:20:26.6963460Z     ...     print(e)
2025-07-24T04:20:26.6963690Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-07-24T04:20:26.6963900Z 
2025-07-24T04:20:26.6963940Z .. warning::
2025-07-24T04:20:26.6964140Z     The dim_order tensor API is experimental and subject to change.
2025-07-24T04:20:26.6964320Z 
2025-07-24T04:20:26.6964470Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.6964690Z 
2025-07-24T04:20:26.6965020Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=560.
2025-07-24T04:20:26.6965560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.6965780Z 
2025-07-24T04:20:26.6965880Z Load a model from a github repo or a local directory.
2025-07-24T04:20:26.6966040Z 
2025-07-24T04:20:26.6966180Z Note: Loading a model is the typical use case, but this can also be used to
2025-07-24T04:20:26.6966520Z for loading other objects such as tokenizers, loss functions, etc.
2025-07-24T04:20:26.6966740Z 
2025-07-24T04:20:26.6966850Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-07-24T04:20:26.6967120Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-07-24T04:20:26.6967340Z ref (a tag or a branch).
2025-07-24T04:20:26.6967440Z 
2025-07-24T04:20:26.6967550Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-07-24T04:20:26.6967770Z path to a local directory.
2025-07-24T04:20:26.6967880Z 
2025-07-24T04:20:26.6967930Z Args:
2025-07-24T04:20:26.6968070Z     repo_or_dir (str): If ``source`` is 'github',
2025-07-24T04:20:26.6968390Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-07-24T04:20:26.6968850Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-07-24T04:20:26.6969250Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-07-24T04:20:26.6969610Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-07-24T04:20:26.6969920Z     model (str): the name of a callable (entrypoint) defined in the
2025-07-24T04:20:26.6970160Z         repo/dir's ``hubconf.py``.
2025-07-24T04:20:26.6970410Z     *args (optional): the corresponding args for callable ``model``.
2025-07-24T04:20:26.6970700Z     source (str, optional): 'github' or 'local'. Specifies how
2025-07-24T04:20:26.6971020Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-07-24T04:20:26.6971330Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-07-24T04:20:26.6971690Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-07-24T04:20:26.6971980Z         only run code from repos that they trust.
2025-07-24T04:20:26.6972120Z 
2025-07-24T04:20:26.6972240Z         - If ``False``, a prompt will ask the user whether the repo should
2025-07-24T04:20:26.6972480Z           be trusted.
2025-07-24T04:20:26.6972690Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-07-24T04:20:26.6972950Z           without requiring explicit confirmation.
2025-07-24T04:20:26.6973200Z         - If ``"check"``, the repo will be checked against the list of
2025-07-24T04:20:26.6973500Z           trusted repos in the cache. If it is not present in that list, the
2025-07-24T04:20:26.6973810Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-07-24T04:20:26.6974110Z         - If ``None``: this will raise a warning, inviting the user to set
2025-07-24T04:20:26.6974400Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-07-24T04:20:26.6974720Z           is only present for backward compatibility and will be removed in
2025-07-24T04:20:26.6974950Z           v2.0.
2025-07-24T04:20:26.6975030Z 
2025-07-24T04:20:26.6975170Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-07-24T04:20:26.6975490Z     force_reload (bool, optional): whether to force a fresh download of
2025-07-24T04:20:26.6975810Z         the github repo unconditionally. Does not have any effect if
2025-07-24T04:20:26.6976060Z         ``source = 'local'``. Default is ``False``.
2025-07-24T04:20:26.6976330Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-07-24T04:20:26.6976660Z         local caches. Note that the message about first download cannot be
2025-07-24T04:20:26.6976960Z         muted. Does not have any effect if ``source = 'local'``.
2025-07-24T04:20:26.6977180Z         Default is ``True``.
2025-07-24T04:20:26.6977470Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-07-24T04:20:26.6977890Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-07-24T04:20:26.6978290Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-07-24T04:20:26.6978630Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-07-24T04:20:26.6978990Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-07-24T04:20:26.6979180Z 
2025-07-24T04:20:26.6979230Z Returns:
2025-07-24T04:20:26.6979410Z     The output of the ``model`` callable when called with the given
2025-07-24T04:20:26.6979650Z     ``*args`` and ``**kwargs``.
2025-07-24T04:20:26.6979760Z 
2025-07-24T04:20:26.6979800Z Example:
2025-07-24T04:20:26.6979950Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:26.6980160Z     >>> # from a github repo
2025-07-24T04:20:26.6980320Z     >>> repo = "pytorch/vision"
2025-07-24T04:20:26.6980490Z     >>> model = torch.hub.load(
2025-07-24T04:20:26.6980720Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-07-24T04:20:26.6980980Z     ... )
2025-07-24T04:20:26.6981100Z     >>> # from a local directory
2025-07-24T04:20:26.6981290Z     >>> path = "/some/local/path/pytorch/vision"
2025-07-24T04:20:26.6981490Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:26.6981740Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-07-24T04:20:26.6981960Z 
2025-07-24T04:20:26.6982120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7586910Z 
2025-07-24T04:20:26.7587480Z msg = Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=652.
2025-07-24T04:20:26.7588230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7588470Z 
2025-07-24T04:20:26.7588680Z Load a model from a local directory with a ``hubconf.py``.
2025-07-24T04:20:26.7588870Z 
2025-07-24T04:20:26.7588920Z Args:
2025-07-24T04:20:26.7589110Z     hubconf_dir (str): path to a local directory that contains a
2025-07-24T04:20:26.7589350Z         ``hubconf.py``.
2025-07-24T04:20:26.7589570Z     model (str): name of an entrypoint defined in the directory's
2025-07-24T04:20:26.7589810Z         ``hubconf.py``.
2025-07-24T04:20:26.7590030Z     *args (optional): the corresponding args for callable ``model``.
2025-07-24T04:20:26.7590370Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-07-24T04:20:26.7590570Z 
2025-07-24T04:20:26.7590620Z Returns:
2025-07-24T04:20:26.7590800Z     a single model with corresponding pretrained weights.
2025-07-24T04:20:26.7590980Z 
2025-07-24T04:20:26.7591020Z Example:
2025-07-24T04:20:26.7591170Z     >>> # xdoctest: +SKIP("stub local path")
2025-07-24T04:20:26.7591390Z     >>> path = "/some/local/path/pytorch/vision"
2025-07-24T04:20:26.7591600Z     >>> model = _load_local(
2025-07-24T04:20:26.7591750Z     ...     path,
2025-07-24T04:20:26.7591880Z     ...     "resnet50",
2025-07-24T04:20:26.7592060Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-07-24T04:20:26.7592310Z     ... )
2025-07-24T04:20:26.7592380Z 
2025-07-24T04:20:26.7592530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7592750Z 
2025-07-24T04:20:26.7593110Z msg = Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=691.
2025-07-24T04:20:26.7593690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7593990Z Download object at the given URL to a local path.
2025-07-24T04:20:26.7594150Z 
2025-07-24T04:20:26.7594200Z     Args:
2025-07-24T04:20:26.7594340Z         url (str): URL of the object to download
2025-07-24T04:20:26.7594620Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-07-24T04:20:26.7595040Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-07-24T04:20:26.7595360Z             Default: None
2025-07-24T04:20:26.7595620Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-07-24T04:20:26.7595880Z             Default: True
2025-07-24T04:20:26.7596080Z 
2025-07-24T04:20:26.7596130Z     Example:
2025-07-24T04:20:26.7596290Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:26.7596500Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-07-24T04:20:26.7596690Z         >>> torch.hub.download_url_to_file(
2025-07-24T04:20:26.7596980Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-07-24T04:20:26.7597240Z         ...     "/tmp/temporary_file",
2025-07-24T04:20:26.7597470Z         ... )
2025-07-24T04:20:26.7597550Z 
2025-07-24T04:20:26.7597640Z     
2025-07-24T04:20:26.7597870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7598080Z 
2025-07-24T04:20:26.7598530Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=816.
2025-07-24T04:20:26.7599190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7604800Z Loads the Torch serialized object at the given URL.
2025-07-24T04:20:26.7604990Z 
2025-07-24T04:20:26.7605110Z     If downloaded file is a zip file, it will be automatically
2025-07-24T04:20:26.7605350Z     decompressed.
2025-07-24T04:20:26.7605450Z 
2025-07-24T04:20:26.7605580Z     If the object is already present in `model_dir`, it's deserialized and
2025-07-24T04:20:26.7605840Z     returned.
2025-07-24T04:20:26.7606150Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-07-24T04:20:26.7606480Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-07-24T04:20:26.7606770Z 
2025-07-24T04:20:26.7606810Z     Args:
2025-07-24T04:20:26.7606950Z         url (str): URL of the object to download
2025-07-24T04:20:26.7607240Z         model_dir (str, optional): directory in which to save the object
2025-07-24T04:20:26.7607640Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-07-24T04:20:26.7608110Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-07-24T04:20:26.7608380Z             Default: True
2025-07-24T04:20:26.7608680Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-07-24T04:20:26.7609080Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-07-24T04:20:26.7609430Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-07-24T04:20:26.7609750Z             ensure unique names and to verify the contents of the file.
2025-07-24T04:20:26.7609990Z             Default: False
2025-07-24T04:20:26.7610300Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-07-24T04:20:26.7610770Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-07-24T04:20:26.7611190Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-07-24T04:20:26.7611410Z 
2025-07-24T04:20:26.7611460Z     Example:
2025-07-24T04:20:26.7611620Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:26.7611870Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-07-24T04:20:26.7612160Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-07-24T04:20:26.7612400Z         ... )
2025-07-24T04:20:26.7612480Z 
2025-07-24T04:20:26.7612530Z     
2025-07-24T04:20:26.7612740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7612960Z 
2025-07-24T04:20:26.7613320Z msg = Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py line=446.
2025-07-24T04:20:26.7613890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7614260Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-07-24T04:20:26.7614570Z 
2025-07-24T04:20:26.7614690Z         This is helpful when you want to visualize data over some
2025-07-24T04:20:26.7614960Z         range of inputs. See below for a plotting example.
2025-07-24T04:20:26.7615120Z 
2025-07-24T04:20:26.7615230Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-07-24T04:20:26.7615520Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-07-24T04:20:26.7615820Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-07-24T04:20:26.7616110Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-07-24T04:20:26.7616390Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-07-24T04:20:26.7616710Z         to the result shape.
2025-07-24T04:20:26.7616820Z 
2025-07-24T04:20:26.7616880Z         .. note::
2025-07-24T04:20:26.7617070Z             0D inputs are treated equivalently to 1D inputs of a
2025-07-24T04:20:26.7617290Z             single element.
2025-07-24T04:20:26.7617400Z 
2025-07-24T04:20:26.7617440Z         .. warning::
2025-07-24T04:20:26.7617660Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-07-24T04:20:26.7617940Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-07-24T04:20:26.7618110Z 
2025-07-24T04:20:26.7618200Z             In the future `torch.meshgrid` will transition to
2025-07-24T04:20:26.7618450Z             `indexing='xy'` as the default.
2025-07-24T04:20:26.7618580Z 
2025-07-24T04:20:26.7618700Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-07-24T04:20:26.7619020Z             this issue with the goal of migrating to NumPy's behavior.
2025-07-24T04:20:26.7619200Z 
2025-07-24T04:20:26.7619250Z         .. seealso::
2025-07-24T04:20:26.7619340Z 
2025-07-24T04:20:26.7619450Z             :func:`torch.cartesian_prod` has the same effect but it
2025-07-24T04:20:26.7619700Z             collects the data in a tensor of vectors.
2025-07-24T04:20:26.7619850Z 
2025-07-24T04:20:26.7619900Z         Args:
2025-07-24T04:20:26.7620150Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-07-24T04:20:26.7620480Z                 treated as tensors of size :math:`(1,)` automatically
2025-07-24T04:20:26.7620650Z 
2025-07-24T04:20:26.7620760Z             indexing: (str, optional): the indexing mode, either "xy"
2025-07-24T04:20:26.7621040Z                 or "ij", defaults to "ij". See warning for future changes.
2025-07-24T04:20:26.7621210Z 
2025-07-24T04:20:26.7621310Z                 If "xy" is selected, the first dimension corresponds
2025-07-24T04:20:26.7621580Z                 to the cardinality of the second input and the second
2025-07-24T04:20:26.7621860Z                 dimension corresponds to the cardinality of the first
2025-07-24T04:20:26.7622080Z                 input.
2025-07-24T04:20:26.7622180Z 
2025-07-24T04:20:26.7622270Z                 If "ij" is selected, the dimensions are in the same
2025-07-24T04:20:26.7622510Z                 order as the cardinality of the inputs.
2025-07-24T04:20:26.7622660Z 
2025-07-24T04:20:26.7622710Z         Returns:
2025-07-24T04:20:26.7622890Z             seq (sequence of Tensors): If the input has :math:`N`
2025-07-24T04:20:26.7623160Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-07-24T04:20:26.7623430Z             output will also have :math:`N` tensors, where each tensor
2025-07-24T04:20:26.7623680Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-07-24T04:20:26.7623830Z 
2025-07-24T04:20:26.7623870Z         Example::
2025-07-24T04:20:26.7623960Z 
2025-07-24T04:20:26.7624030Z             >>> x = torch.tensor([1, 2, 3])
2025-07-24T04:20:26.7624220Z             >>> y = torch.tensor([4, 5, 6])
2025-07-24T04:20:26.7624350Z 
2025-07-24T04:20:26.7624480Z             Observe the element-wise pairings across the grid, (1, 4),
2025-07-24T04:20:26.7624750Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-07-24T04:20:26.7624990Z             cartesian product.
2025-07-24T04:20:26.7625200Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-07-24T04:20:26.7625410Z             >>> grid_x
2025-07-24T04:20:26.7625560Z             tensor([[1, 1, 1],
2025-07-24T04:20:26.7625720Z                     [2, 2, 2],
2025-07-24T04:20:26.7625870Z                     [3, 3, 3]])
2025-07-24T04:20:26.7626020Z             >>> grid_y
2025-07-24T04:20:26.7626160Z             tensor([[4, 5, 6],
2025-07-24T04:20:26.7626310Z                     [4, 5, 6],
2025-07-24T04:20:26.7626470Z                     [4, 5, 6]])
2025-07-24T04:20:26.7626580Z 
2025-07-24T04:20:26.7626680Z             This correspondence can be seen when these grids are
2025-07-24T04:20:26.7626940Z             stacked properly.
2025-07-24T04:20:26.7627170Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-07-24T04:20:26.7627450Z             ...             torch.cartesian_prod(x, y))
2025-07-24T04:20:26.7627640Z             True
2025-07-24T04:20:26.7627720Z 
2025-07-24T04:20:26.7627840Z             `torch.meshgrid` is commonly used to produce a grid for
2025-07-24T04:20:26.7628060Z             plotting.
2025-07-24T04:20:26.7628230Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-07-24T04:20:26.7628450Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-07-24T04:20:26.7628670Z             >>> import matplotlib.pyplot as plt
2025-07-24T04:20:26.7628960Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-07-24T04:20:26.7629180Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-07-24T04:20:26.7629470Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-07-24T04:20:26.7629710Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-07-24T04:20:26.7629930Z             >>> ax = plt.axes(projection='3d')
2025-07-24T04:20:26.7630160Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-07-24T04:20:26.7630370Z             >>> plt.show()
2025-07-24T04:20:26.7630480Z 
2025-07-24T04:20:26.7630550Z         .. image:: ../_static/img/meshgrid.png
2025-07-24T04:20:26.7630740Z             :width: 512
2025-07-24T04:20:26.7630830Z 
2025-07-24T04:20:26.7630870Z         
2025-07-24T04:20:26.7631090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7631310Z 
2025-07-24T04:20:26.7631670Z msg = Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py line=842.
2025-07-24T04:20:26.7632250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7632690Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-07-24T04:20:26.7632990Z 
2025-07-24T04:20:26.7633080Z     Returns the unique elements of the input tensor.
2025-07-24T04:20:26.7633240Z 
2025-07-24T04:20:26.7633420Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-07-24T04:20:26.7633790Z         this function also eliminates non-consecutive duplicate values.
2025-07-24T04:20:26.7633990Z 
2025-07-24T04:20:26.7634130Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-07-24T04:20:26.7634510Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-07-24T04:20:26.7634920Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-07-24T04:20:26.7635270Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-07-24T04:20:26.7635450Z 
2025-07-24T04:20:26.7635500Z     Args:
2025-07-24T04:20:26.7635630Z         input (Tensor): the input tensor
2025-07-24T04:20:26.7635890Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-07-24T04:20:26.7636160Z             before returning as output.
2025-07-24T04:20:26.7636410Z         return_inverse (bool): Whether to also return the indices for where
2025-07-24T04:20:26.7636820Z             elements in the original input ended up in the returned unique list.
2025-07-24T04:20:26.7637160Z         return_counts (bool): Whether to also return the counts for each unique
2025-07-24T04:20:26.7637400Z             element.
2025-07-24T04:20:26.7637620Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-07-24T04:20:26.7637940Z             unique of the flattened input is returned. Otherwise, each of the
2025-07-24T04:20:26.7638260Z             tensors indexed by the given dimension is treated as one of the
2025-07-24T04:20:26.7638580Z             elements to apply the unique operation upon. See examples for more
2025-07-24T04:20:26.7638880Z             details. Default: ``None``
2025-07-24T04:20:26.7639010Z 
2025-07-24T04:20:26.7639060Z     Returns:
2025-07-24T04:20:26.7639300Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-07-24T04:20:26.7639550Z 
2025-07-24T04:20:26.7639670Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-07-24T04:20:26.7639940Z             - **inverse_indices** (*Tensor*): (optional) if
2025-07-24T04:20:26.7640240Z               :attr:`return_inverse` is True, there will be an additional
2025-07-24T04:20:26.7640550Z               returned tensor (same shape as input) representing the indices
2025-07-24T04:20:26.7640900Z               for where elements in the original input map to in the output;
2025-07-24T04:20:26.7641210Z               otherwise, this function will only return a single tensor.
2025-07-24T04:20:26.7641520Z             - **counts** (*Tensor*): (optional) if
2025-07-24T04:20:26.7641780Z               :attr:`return_counts` is True, there will be an additional
2025-07-24T04:20:26.7642070Z               returned tensor (same shape as output or output.size(dim),
2025-07-24T04:20:26.7642370Z               if dim was specified) representing the number of occurrences
2025-07-24T04:20:26.7642620Z               for each unique value or tensor.
2025-07-24T04:20:26.7642760Z 
2025-07-24T04:20:26.7642800Z     Example::
2025-07-24T04:20:26.7642880Z 
2025-07-24T04:20:26.7643010Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-07-24T04:20:26.7643250Z         >>> output
2025-07-24T04:20:26.7643390Z         tensor([1, 2, 3])
2025-07-24T04:20:26.7643490Z 
2025-07-24T04:20:26.7643560Z         >>> output, inverse_indices = torch.unique(
2025-07-24T04:20:26.7643850Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-07-24T04:20:26.7644110Z         >>> output
2025-07-24T04:20:26.7644250Z         tensor([1, 2, 3])
2025-07-24T04:20:26.7644400Z         >>> inverse_indices
2025-07-24T04:20:26.7644550Z         tensor([0, 2, 1, 2])
2025-07-24T04:20:26.7644660Z 
2025-07-24T04:20:26.7644740Z         >>> output, inverse_indices = torch.unique(
2025-07-24T04:20:26.7645030Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-07-24T04:20:26.7645290Z         >>> output
2025-07-24T04:20:26.7645420Z         tensor([1, 2, 3])
2025-07-24T04:20:26.7645570Z         >>> inverse_indices
2025-07-24T04:20:26.7645720Z         tensor([[0, 2],
2025-07-24T04:20:26.7645860Z                 [1, 2]])
2025-07-24T04:20:26.7645950Z 
2025-07-24T04:20:26.7646010Z         >>> a = torch.tensor([
2025-07-24T04:20:26.7646160Z         ...     [
2025-07-24T04:20:26.7646300Z         ...         [1, 1, 0, 0],
2025-07-24T04:20:26.7646460Z         ...         [1, 1, 0, 0],
2025-07-24T04:20:26.7646620Z         ...         [0, 0, 1, 1],
2025-07-24T04:20:26.7646770Z         ...     ],
2025-07-24T04:20:26.7646900Z         ...     [
2025-07-24T04:20:26.7647020Z         ...         [0, 0, 1, 1],
2025-07-24T04:20:26.7647180Z         ...         [0, 0, 1, 1],
2025-07-24T04:20:26.7647340Z         ...         [1, 1, 1, 1],
2025-07-24T04:20:26.7647490Z         ...     ],
2025-07-24T04:20:26.7647610Z         ...     [
2025-07-24T04:20:26.7647790Z         ...         [1, 1, 0, 0],
2025-07-24T04:20:26.7647950Z         ...         [1, 1, 0, 0],
2025-07-24T04:20:26.7648100Z         ...         [0, 0, 1, 1],
2025-07-24T04:20:26.7648250Z         ...     ],
2025-07-24T04:20:26.7648370Z         ... ])
2025-07-24T04:20:26.7648450Z 
2025-07-24T04:20:26.7648580Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-07-24T04:20:26.7648910Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-07-24T04:20:26.7649190Z         >>> # each other, so one of them will be removed.
2025-07-24T04:20:26.7649400Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-07-24T04:20:26.7649580Z         tensor(True)
2025-07-24T04:20:26.7649780Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-07-24T04:20:26.7649970Z         >>> a_unique_dim0
2025-07-24T04:20:26.7650120Z         tensor([[[0, 0, 1, 1],
2025-07-24T04:20:26.7650270Z                  [0, 0, 1, 1],
2025-07-24T04:20:26.7650420Z                  [1, 1, 1, 1]],
2025-07-24T04:20:26.7650590Z                 [[1, 1, 0, 0],
2025-07-24T04:20:26.7650740Z                  [1, 1, 0, 0],
2025-07-24T04:20:26.7650900Z                  [0, 0, 1, 1]]])
2025-07-24T04:20:26.7651010Z 
2025-07-24T04:20:26.7651140Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-07-24T04:20:26.7651400Z         >>> # `a_unique_dim0`:
2025-07-24T04:20:26.7651600Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-07-24T04:20:26.7651800Z         tensor(True)
2025-07-24T04:20:26.7651960Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-07-24T04:20:26.7652170Z         tensor(True)
2025-07-24T04:20:26.7652270Z 
2025-07-24T04:20:26.7652400Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-07-24T04:20:26.7652720Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-07-24T04:20:26.7652950Z         >>> # them will be removed.
2025-07-24T04:20:26.7653140Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-07-24T04:20:26.7653310Z         tensor(True)
2025-07-24T04:20:26.7653460Z         >>> torch.unique(a, dim=1)
2025-07-24T04:20:26.7653630Z         tensor([[[0, 0, 1, 1],
2025-07-24T04:20:26.7653790Z                  [1, 1, 0, 0]],
2025-07-24T04:20:26.7653950Z                 [[1, 1, 1, 1],
2025-07-24T04:20:26.7654100Z                  [0, 0, 1, 1]],
2025-07-24T04:20:26.7654250Z                 [[0, 0, 1, 1],
2025-07-24T04:20:26.7654410Z                  [1, 1, 0, 0]]])
2025-07-24T04:20:26.7654520Z 
2025-07-24T04:20:26.7654650Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-07-24T04:20:26.7654950Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-07-24T04:20:26.7655230Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-07-24T04:20:26.7655470Z         >>> # sub-tensors will be removed.
2025-07-24T04:20:26.7655670Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-07-24T04:20:26.7655840Z         tensor(True)
2025-07-24T04:20:26.7656000Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-07-24T04:20:26.7656160Z         tensor(True)
2025-07-24T04:20:26.7656310Z         >>> torch.unique(a, dim=2)
2025-07-24T04:20:26.7656480Z         tensor([[[0, 1],
2025-07-24T04:20:26.7656620Z                  [0, 1],
2025-07-24T04:20:26.7656760Z                  [1, 0]],
2025-07-24T04:20:26.7656900Z                 [[1, 0],
2025-07-24T04:20:26.7657040Z                  [1, 0],
2025-07-24T04:20:26.7657170Z                  [1, 1]],
2025-07-24T04:20:26.7657310Z                 [[0, 1],
2025-07-24T04:20:26.7657450Z                  [0, 1],
2025-07-24T04:20:26.7657590Z                  [1, 0]]])
2025-07-24T04:20:26.7657730Z     
2025-07-24T04:20:26.7657950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.7986300Z 
2025-07-24T04:20:26.7986830Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-07-24T04:20:26.7987660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.7988120Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-07-24T04:20:26.7988400Z 
2025-07-24T04:20:26.7988520Z     Loads an object saved with :func:`torch.save` from a file.
2025-07-24T04:20:26.7988700Z 
2025-07-24T04:20:26.7988860Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-07-24T04:20:26.7989220Z     which underlie tensors, specially. They are first deserialized on the
2025-07-24T04:20:26.7989580Z     CPU and are then moved to the device they were saved from. If this fails
2025-07-24T04:20:26.7990020Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-07-24T04:20:26.7990390Z     is raised. However, storages can be dynamically remapped to an alternative
2025-07-24T04:20:26.7990710Z     set of devices using the :attr:`map_location` argument.
2025-07-24T04:20:26.7990890Z 
2025-07-24T04:20:26.7991050Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-07-24T04:20:26.7991410Z     storage with two arguments: storage and location. The storage argument
2025-07-24T04:20:26.7991770Z     will be the initial deserialization of the storage, residing on the CPU.
2025-07-24T04:20:26.7992160Z     Each serialized storage has a location tag associated with it which
2025-07-24T04:20:26.7992540Z     identifies the device it was saved from, and this tag is the second
2025-07-24T04:20:26.7992960Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-07-24T04:20:26.7993340Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-07-24T04:20:26.7993680Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-07-24T04:20:26.7994030Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-07-24T04:20:26.7994410Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-07-24T04:20:26.7994780Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-07-24T04:20:26.7995000Z 
2025-07-24T04:20:26.7995150Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-07-24T04:20:26.7995510Z     a device tag, it indicates the location where all tensors should be loaded.
2025-07-24T04:20:26.7995720Z 
2025-07-24T04:20:26.7995880Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-07-24T04:20:26.7996240Z     appearing in the file (keys), to ones that specify where to put the
2025-07-24T04:20:26.7996480Z     storages (values).
2025-07-24T04:20:26.7996580Z 
2025-07-24T04:20:26.7996710Z     User extensions can register their own location tags and tagging and
2025-07-24T04:20:26.7997070Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-07-24T04:20:26.7997300Z 
2025-07-24T04:20:26.7997460Z     See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-07-24T04:20:26.7997670Z 
2025-07-24T04:20:26.7997720Z     Args:
2025-07-24T04:20:26.7998010Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-07-24T04:20:26.7998410Z             or a string or os.PathLike object containing a file name
2025-07-24T04:20:26.7998790Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-07-24T04:20:26.7999140Z             locations
2025-07-24T04:20:26.8004170Z         pickle_module: module used for unpickling metadata and objects (has to
2025-07-24T04:20:26.8004510Z             match the :attr:`pickle_module` used to serialize file)
2025-07-24T04:20:26.8004810Z         weights_only: Indicates whether unpickler should be restricted to
2025-07-24T04:20:26.8005180Z             loading only tensors, primitive types, dictionaries
2025-07-24T04:20:26.8005490Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-07-24T04:20:26.8005770Z             See :ref:`weights-only` for more details.
2025-07-24T04:20:26.8006120Z         mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-07-24T04:20:26.8006590Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-07-24T04:20:26.8007080Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-07-24T04:20:26.8007540Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-07-24T04:20:26.8008050Z             tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-07-24T04:20:26.8008420Z             will be lazily loaded when their data is accessed.
2025-07-24T04:20:26.8008730Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-07-24T04:20:26.8009090Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-07-24T04:20:26.8009360Z             :attr:`errors=...`.
2025-07-24T04:20:26.8009470Z 
2025-07-24T04:20:26.8009540Z     .. warning::
2025-07-24T04:20:26.8009860Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-07-24T04:20:26.8010190Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-07-24T04:20:26.8010590Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-07-24T04:20:26.8010970Z         during unpickling. Never load data that could have come from an untrusted
2025-07-24T04:20:26.8011360Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-07-24T04:20:26.8011620Z 
2025-07-24T04:20:26.8011670Z     .. note::
2025-07-24T04:20:26.8011900Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-07-24T04:20:26.8012290Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-07-24T04:20:26.8012680Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-07-24T04:20:26.8012920Z 
2025-07-24T04:20:26.8012960Z     .. note::
2025-07-24T04:20:26.8013190Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-07-24T04:20:26.8013540Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-07-24T04:20:26.8013870Z         when loading files saved by Python 2 in Python 3.  If this default
2025-07-24T04:20:26.8014220Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-07-24T04:20:26.8014590Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-07-24T04:20:26.8014960Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-07-24T04:20:26.8015300Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-07-24T04:20:26.8015510Z 
2025-07-24T04:20:26.8015560Z     Example:
2025-07-24T04:20:26.8015720Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-07-24T04:20:26.8015950Z         >>> torch.load("tensors.pt", weights_only=True)
2025-07-24T04:20:26.8016160Z         # Load all tensors onto the CPU
2025-07-24T04:20:26.8016340Z         >>> torch.load(
2025-07-24T04:20:26.8016490Z         ...     "tensors.pt",
2025-07-24T04:20:26.8016680Z         ...     map_location=torch.device("cpu"),
2025-07-24T04:20:26.8016880Z         ...     weights_only=True,
2025-07-24T04:20:26.8017050Z         ... )
2025-07-24T04:20:26.8017210Z         # Load all tensors onto the CPU, using a function
2025-07-24T04:20:26.8017410Z         >>> torch.load(
2025-07-24T04:20:26.8017610Z         ...     "tensors.pt",
2025-07-24T04:20:26.8017810Z         ...     map_location=lambda storage, loc: storage,
2025-07-24T04:20:26.8018020Z         ...     weights_only=True,
2025-07-24T04:20:26.8018180Z         ... )
2025-07-24T04:20:26.8018320Z         # Load all tensors onto GPU 1
2025-07-24T04:20:26.8018490Z         >>> torch.load(
2025-07-24T04:20:26.8018640Z         ...     "tensors.pt",
2025-07-24T04:20:26.8018850Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-07-24T04:20:26.8019070Z         ...     weights_only=True,
2025-07-24T04:20:26.8019250Z         ... )  # type: ignore[attr-defined]
2025-07-24T04:20:26.8019460Z         # Map tensors from GPU 1 to GPU 0
2025-07-24T04:20:26.8019670Z         >>> torch.load(
2025-07-24T04:20:26.8019820Z         ...     "tensors.pt",
2025-07-24T04:20:26.8020000Z         ...     map_location={"cuda:1": "cuda:0"},
2025-07-24T04:20:26.8020200Z         ...     weights_only=True,
2025-07-24T04:20:26.8020360Z         ... )
2025-07-24T04:20:26.8020500Z         # Load tensor from io.BytesIO object
2025-07-24T04:20:26.8020790Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-07-24T04:20:26.8021080Z         >>> with open("tensor.pt", "rb") as f:
2025-07-24T04:20:26.8021290Z         ...     buffer = io.BytesIO(f.read())
2025-07-24T04:20:26.8021490Z         >>> torch.load(buffer, weights_only=False)
2025-07-24T04:20:26.8021760Z         # Load a module with 'ascii' encoding for unpickling
2025-07-24T04:20:26.8022070Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-07-24T04:20:26.8022470Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-07-24T04:20:26.8022700Z     
2025-07-24T04:20:26.8022920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.8023130Z 
2025-07-24T04:20:26.8023520Z msg = Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-07-24T04:20:26.8024120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.8024340Z 
2025-07-24T04:20:26.8024480Z Append the given callback function to this ``Future``, which will be run
2025-07-24T04:20:26.8024810Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-07-24T04:20:26.8025130Z the same ``Future``, but the order in which they will be executed cannot
2025-07-24T04:20:26.8025430Z be guaranteed (to enforce a certain order consider chaining:
2025-07-24T04:20:26.8025730Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-07-24T04:20:26.8026050Z is the reference to this ``Future``. The callback function can use the
2025-07-24T04:20:26.8026370Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-07-24T04:20:26.8026690Z already completed, the given callback will be run immediately inline.
2025-07-24T04:20:26.8026890Z 
2025-07-24T04:20:26.8027020Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-07-24T04:20:26.8027340Z callback might be invoked while the async kernels that are populating
2025-07-24T04:20:26.8027670Z those tensors haven't yet finished executing on the device. However, the
2025-07-24T04:20:26.8028000Z callback will be invoked with some dedicated streams set as current
2025-07-24T04:20:26.8028320Z (fetched from a global pool) which will be synchronized with those
2025-07-24T04:20:26.8028650Z kernels. Hence any operation performed by the callback on these tensors
2025-07-24T04:20:26.8028970Z will be scheduled on the device after the kernels complete. In other
2025-07-24T04:20:26.8029290Z words, as long as the callback doesn't switch streams, it can safely
2025-07-24T04:20:26.8029620Z manipulate the result without any additional synchronization. This is
2025-07-24T04:20:26.8029920Z similar to the non-blocking behavior of :meth:`wait`.
2025-07-24T04:20:26.8030080Z 
2025-07-24T04:20:26.8030240Z Similarly, if the callback returns a value that contains tensors that
2025-07-24T04:20:26.8030560Z reside on a GPU, it can do so even if the kernels that are producing
2025-07-24T04:20:26.8030880Z these tensors are still running on the device, as long as the callback
2025-07-24T04:20:26.8031200Z didn't change streams during its execution. If one wants to change
2025-07-24T04:20:26.8031520Z streams, one must be careful to re-synchronize them with the original
2025-07-24T04:20:26.8031860Z streams, that is, those that were current when the callback was invoked.
2025-07-24T04:20:26.8032060Z 
2025-07-24T04:20:26.8032110Z Args:
2025-07-24T04:20:26.8032300Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-07-24T04:20:26.8032590Z                             the only argument.
2025-07-24T04:20:26.8032730Z 
2025-07-24T04:20:26.8032780Z Returns:
2025-07-24T04:20:26.8032950Z     A new ``Future`` object that holds the return value of the
2025-07-24T04:20:26.8033220Z     ``callback`` and will be marked as completed when the given
2025-07-24T04:20:26.8033460Z     ``callback`` finishes.
2025-07-24T04:20:26.8033570Z 
2025-07-24T04:20:26.8033670Z .. note:: Note that if the callback function throws, either
2025-07-24T04:20:26.8033970Z     through the original future being completed with an exception and
2025-07-24T04:20:26.8034280Z     calling ``fut.wait()``, or through other code in the callback, the
2025-07-24T04:20:26.8034610Z     future returned by ``then`` will be marked appropriately with the
2025-07-24T04:20:26.8034930Z     encountered error. However, if this callback later completes
2025-07-24T04:20:26.8035280Z     additional futures, those futures are not marked as completed with
2025-07-24T04:20:26.8035610Z     an error and the user is responsible for handling completion/waiting
2025-07-24T04:20:26.8035860Z     on those futures independently.
2025-07-24T04:20:26.8035990Z 
2025-07-24T04:20:26.8036090Z Example::
2025-07-24T04:20:26.8036160Z 
2025-07-24T04:20:26.8036260Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-07-24T04:20:26.8036480Z     >>> def callback(fut):
2025-07-24T04:20:26.8036670Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-07-24T04:20:26.8036900Z     >>> fut = torch.futures.Future()
2025-07-24T04:20:26.8037140Z     >>> # The inserted callback will print the return value when
2025-07-24T04:20:26.8037400Z     >>> # receiving the response from "worker1"
2025-07-24T04:20:26.8037610Z     >>> cb_fut = fut.then(callback)
2025-07-24T04:20:26.8037790Z     >>> chain_cb_fut = cb_fut.then(
2025-07-24T04:20:26.8038010Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-07-24T04:20:26.8038220Z     ... )
2025-07-24T04:20:26.8038340Z     >>> fut.set_result(5)
2025-07-24T04:20:26.8038510Z     RPC return value is 5.
2025-07-24T04:20:26.8038670Z     Chained cb done. None
2025-07-24T04:20:26.8038770Z 
2025-07-24T04:20:26.8038930Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.9263960Z 
2025-07-24T04:20:26.9264590Z msg = Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-07-24T04:20:26.9265250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.9265500Z 
2025-07-24T04:20:26.9265640Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-07-24T04:20:26.9265990Z completed and trigger all attached callbacks. Note that a ``Future``
2025-07-24T04:20:26.9266260Z cannot be marked completed twice.
2025-07-24T04:20:26.9266390Z 
2025-07-24T04:20:26.9266530Z If the result contains tensors that reside on GPUs, this method can be
2025-07-24T04:20:26.9266870Z called even if the asynchronous kernels that are populating those
2025-07-24T04:20:26.9267210Z tensors haven't yet completed running on the device, provided that the
2025-07-24T04:20:26.9267550Z streams on which those kernels were enqueued are set as the current ones
2025-07-24T04:20:26.9268080Z when this method is called. Put simply, it's safe to call this method
2025-07-24T04:20:26.9268410Z immediately after launching those kernels, without any additional
2025-07-24T04:20:26.9268780Z synchronization, as long as one doesn't change streams in between. This
2025-07-24T04:20:26.9269120Z method will record events on all the relevant current streams and will
2025-07-24T04:20:26.9269450Z use them to ensure proper scheduling for all the consumers of this
2025-07-24T04:20:26.9269700Z ``Future``.
2025-07-24T04:20:26.9269770Z 
2025-07-24T04:20:26.9269810Z Args:
2025-07-24T04:20:26.9269990Z     result (object): the result object of this ``Future``.
2025-07-24T04:20:26.9270160Z 
2025-07-24T04:20:26.9270220Z Example::
2025-07-24T04:20:26.9270390Z 
2025-07-24T04:20:26.9270480Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-07-24T04:20:26.9270700Z     >>> import threading
2025-07-24T04:20:26.9270850Z     >>> import time
2025-07-24T04:20:26.9271010Z     >>> def slow_set_future(fut, value):
2025-07-24T04:20:26.9271200Z     ...     time.sleep(0.5)
2025-07-24T04:20:26.9271370Z     ...     fut.set_result(value)
2025-07-24T04:20:26.9271550Z     >>> fut = torch.futures.Future()
2025-07-24T04:20:26.9271730Z     >>> t = threading.Thread(
2025-07-24T04:20:26.9271900Z     ...     target=slow_set_future,
2025-07-24T04:20:26.9272080Z     ...     args=(fut, torch.ones(2) * 3)
2025-07-24T04:20:26.9272260Z     ... )
2025-07-24T04:20:26.9272410Z     >>> t.start()
2025-07-24T04:20:26.9272550Z     >>> print(fut.wait())
2025-07-24T04:20:26.9272710Z     tensor([3., 3.])
2025-07-24T04:20:26.9272840Z     >>> t.join()
2025-07-24T04:20:26.9272920Z 
2025-07-24T04:20:26.9273160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.9273390Z 
2025-07-24T04:20:26.9273760Z msg = Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-07-24T04:20:26.9274360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.9274720Z Compiles compute shader from source and allows one to invoke kernels
2025-07-24T04:20:26.9275010Z     defined there from the comfort of Python runtime
2025-07-24T04:20:26.9275220Z     Example::
2025-07-24T04:20:26.9275290Z 
2025-07-24T04:20:26.9275380Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-07-24T04:20:26.9275600Z         >>> lib = torch.mps.compile_shader(
2025-07-24T04:20:26.9275990Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-07-24T04:20:26.9276330Z         ...  )
2025-07-24T04:20:26.9276480Z         >>> x = torch.zeros(16, device="mps")
2025-07-24T04:20:26.9276670Z         >>> lib.full(x, 3.14)
2025-07-24T04:20:26.9276820Z     
2025-07-24T04:20:26.9277030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.9277250Z 
2025-07-24T04:20:26.9277690Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1848.
2025-07-24T04:20:26.9278350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:26.9278710Z Computes the minimum storage size to hold the given tensor geometry.
2025-07-24T04:20:26.9278910Z 
2025-07-24T04:20:26.9278960Z     Example
2025-07-24T04:20:26.9279080Z     =======
2025-07-24T04:20:26.9279140Z 
2025-07-24T04:20:26.9279290Z     This is the size of a newly allocated tensor's storage, in units of elements
2025-07-24T04:20:26.9279500Z 
2025-07-24T04:20:26.9279560Z     >>> t = torch.empty((10, 20))
2025-07-24T04:20:26.9279830Z     >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-07-24T04:20:26.9280090Z     200
2025-07-24T04:20:26.9280150Z 
2025-07-24T04:20:26.9280210Z     >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:26.9280450Z     >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-07-24T04:20:26.9280680Z     >>> size = compute_required_storage_length(
2025-07-24T04:20:26.9280900Z     ...     t2.shape, t2.stride(), t2.storage_offset()
2025-07-24T04:20:26.9281090Z     ... )
2025-07-24T04:20:26.9281210Z     >>> size == t.storage().size()
2025-07-24T04:20:26.9281370Z     True
2025-07-24T04:20:26.9281440Z 
2025-07-24T04:20:26.9281560Z     A valid tensor may have a larger storage size, but never smaller
2025-07-24T04:20:26.9281750Z 
2025-07-24T04:20:26.9281820Z     >>> slice = torch.empty(100)[20:40]
2025-07-24T04:20:26.9282010Z     >>> slice.storage().size()
2025-07-24T04:20:26.9282190Z     100
2025-07-24T04:20:26.9282260Z 
2025-07-24T04:20:26.9282370Z     >>> compute_required_storage_length(
2025-07-24T04:20:26.9282610Z     ...     slice.shape, slice.stride(), slice.storage_offset()
2025-07-24T04:20:26.9282830Z     ... )
2025-07-24T04:20:26.9282940Z     40
2025-07-24T04:20:26.9283010Z 
2025-07-24T04:20:26.9283050Z     
2025-07-24T04:20:26.9283260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:26.9283480Z 
2025-07-24T04:20:26.9283830Z msg = Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-07-24T04:20:26.9284420Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:26.9284730Z Retrieves the CUDA runtime API module.
2025-07-24T04:20:26.9284870Z 
2025-07-24T04:20:26.9284880Z 
2025-07-24T04:20:26.9285030Z     This function initializes the CUDA runtime environment if it is not already
2025-07-24T04:20:26.9285420Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-07-24T04:20:26.9285780Z     runtime API module provides access to various CUDA runtime functions.
2025-07-24T04:20:26.9285980Z 
2025-07-24T04:20:26.9286030Z     Args:
2025-07-24T04:20:26.9286140Z         ``None``
2025-07-24T04:20:26.9286220Z 
2025-07-24T04:20:26.9286270Z     Returns:
2025-07-24T04:20:26.9286440Z         module: The CUDA runtime API module (_cudart).
2025-07-24T04:20:26.9286590Z 
2025-07-24T04:20:26.9286640Z     Raises:
2025-07-24T04:20:26.9286840Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-07-24T04:20:26.9287260Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-07-24T04:20:26.9287550Z 
2025-07-24T04:20:26.9287630Z     Example of CUDA operations with profiling:
2025-07-24T04:20:26.9287830Z         >>> import torch
2025-07-24T04:20:26.9288020Z         >>> from torch.cuda import cudart, check_error
2025-07-24T04:20:26.9288210Z         >>> import os
2025-07-24T04:20:26.9288350Z         >>>
2025-07-24T04:20:26.9288480Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-07-24T04:20:26.9288660Z         >>>
2025-07-24T04:20:26.9288820Z         >>> def perform_cuda_operations_with_streams():
2025-07-24T04:20:26.9289040Z         >>>     stream = torch.cuda.Stream()
2025-07-24T04:20:26.9289250Z         >>>     with torch.cuda.stream(stream):
2025-07-24T04:20:26.9289470Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-07-24T04:20:26.9289690Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-07-24T04:20:26.9289900Z         >>>         z = torch.mul(x, y)
2025-07-24T04:20:26.9290070Z         >>>     return z
2025-07-24T04:20:26.9290210Z         >>>
2025-07-24T04:20:26.9290350Z         >>> torch.cuda.synchronize()
2025-07-24T04:20:26.9290550Z         >>> print("====== Start nsys profiling ======")
2025-07-24T04:20:26.9290790Z         >>> check_error(cudart().cudaProfilerStart())
2025-07-24T04:20:26.9291030Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-07-24T04:20:26.9291270Z         >>>     result = perform_cuda_operations_with_streams()
2025-07-24T04:20:26.9291510Z         >>>     print("CUDA operations completed.")
2025-07-24T04:20:26.9291760Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-07-24T04:20:26.9292060Z         >>> print("====== End nsys profiling ======")
2025-07-24T04:20:26.9292210Z 
2025-07-24T04:20:26.9292340Z     To run this example and save the profiling information, execute:
2025-07-24T04:20:26.9292750Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-07-24T04:20:26.9293030Z 
2025-07-24T04:20:26.9293180Z     This command profiles the CUDA operations in the provided script and saves
2025-07-24T04:20:26.9293520Z     the profiling information to a file named `trace_name.prof`.
2025-07-24T04:20:26.9293850Z     The `--profile-from-start off` option ensures that profiling starts only
2025-07-24T04:20:26.9294160Z     after the `cudaProfilerStart` call in the script.
2025-07-24T04:20:26.9294490Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-07-24T04:20:26.9294770Z     CSV file and print a summary, respectively.
2025-07-24T04:20:26.9295070Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-07-24T04:20:26.9295380Z     overwrite of the output file if it already exists.
2025-07-24T04:20:26.9295590Z     
2025-07-24T04:20:26.9296030Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-07-24T04:20:26.9296470Z 
2025-07-24T04:20:26.9296700Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-07-24T04:20:26.9297070Z ^
2025-07-24T04:20:26.9302920Z msg = Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py line=48.
2025-07-24T04:20:26.9303550Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:26.9303920Z Check if the current accelerator is available at runtime: it was build, all the
2025-07-24T04:20:26.9304270Z     required drivers are available and at least one device is visible.
2025-07-24T04:20:26.9304570Z     See :ref:`accelerator<accelerators>` for details.
2025-07-24T04:20:26.9304720Z 
2025-07-24T04:20:26.9304760Z     Returns:
2025-07-24T04:20:26.9305010Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-07-24T04:20:26.9305250Z 
2025-07-24T04:20:26.9305400Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-07-24T04:20:26.9305770Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-07-24T04:20:26.9306150Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-07-24T04:20:26.9306460Z         :ref:`multiprocessing-poison-fork-note`.
2025-07-24T04:20:26.9306620Z 
2025-07-24T04:20:26.9306670Z     Example::
2025-07-24T04:20:26.9306750Z 
2025-07-24T04:20:26.9306910Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:26.9307180Z     
2025-07-24T04:20:26.9307570Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-07-24T04:20:26.9307950Z 
2025-07-24T04:20:26.9308110Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:26.9308400Z                                         ^
2025-07-24T04:20:26.9308910Z msg = Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py line=194.
2025-07-24T04:20:26.9309500Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:26.9309850Z Wait for all kernels in all streams on the given device to complete.
2025-07-24T04:20:26.9310040Z 
2025-07-24T04:20:26.9310090Z     Args:
2025-07-24T04:20:26.9310350Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-07-24T04:20:26.9310790Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-07-24T04:20:26.9311120Z             use :func:`torch.accelerator.current_device_index` by default.
2025-07-24T04:20:26.9311310Z 
2025-07-24T04:20:26.9311500Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-07-24T04:20:26.9311760Z 
2025-07-24T04:20:26.9311810Z     Example::
2025-07-24T04:20:26.9311890Z 
2025-07-24T04:20:26.9311980Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:26.9312290Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:26.9312650Z         >>> start_event = torch.Event(enable_timing=True)
2025-07-24T04:20:26.9312880Z         >>> end_event = torch.Event(enable_timing=True)
2025-07-24T04:20:26.9313090Z         >>> start_event.record()
2025-07-24T04:20:26.9313360Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-07-24T04:20:26.9313630Z         >>> sum = torch.sum(tensor)
2025-07-24T04:20:26.9313820Z         >>> end_event.record()
2025-07-24T04:20:26.9314000Z         >>> torch.accelerator.synchronize()
2025-07-24T04:20:26.9314250Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-07-24T04:20:26.9314460Z     
2025-07-24T04:20:26.9314870Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-07-24T04:20:26.9315260Z 
2025-07-24T04:20:26.9315450Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:27.0275590Z                                         ^
2025-07-24T04:20:27.0276160Z msg = Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-07-24T04:20:27.0276770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0277120Z Return the sum of each row of the given sparse tensor.
2025-07-24T04:20:27.0277300Z 
2025-07-24T04:20:27.0277450Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-07-24T04:20:27.0277790Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-07-24T04:20:27.0278170Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-07-24T04:20:27.0278460Z     returns a dense tensor instead of a sparse tensor.
2025-07-24T04:20:27.0278630Z 
2025-07-24T04:20:27.0278800Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-07-24T04:20:27.0279160Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-07-24T04:20:27.0279360Z 
2025-07-24T04:20:27.0279500Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-07-24T04:20:27.0279870Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-07-24T04:20:27.0280090Z 
2025-07-24T04:20:27.0280140Z     Args:
2025-07-24T04:20:27.0280290Z         input (Tensor): the input sparse tensor
2025-07-24T04:20:27.0280620Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-07-24T04:20:27.0280910Z             over all dims.
2025-07-24T04:20:27.0281180Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-07-24T04:20:27.0281470Z             Default: dtype of :attr:`input`.
2025-07-24T04:20:27.0281610Z 
2025-07-24T04:20:27.0281680Z     Example::
2025-07-24T04:20:27.0281760Z 
2025-07-24T04:20:27.0281800Z         >>> nnz = 3
2025-07-24T04:20:27.0281940Z         >>> dims = [5, 5, 2, 3]
2025-07-24T04:20:27.0282150Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-07-24T04:20:27.0282440Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-07-24T04:20:27.0282700Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-07-24T04:20:27.0283140Z         >>> size = torch.Size(dims)
2025-07-24T04:20:27.0283340Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:27.0283580Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-07-24T04:20:27.0283760Z         >>> S
2025-07-24T04:20:27.0283900Z         tensor(indices=tensor([[2, 0, 3],
2025-07-24T04:20:27.0284090Z                                [2, 4, 1]]),
2025-07-24T04:20:27.0284310Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-07-24T04:20:27.0284540Z                                [ 0.3411,  0.0918, -0.2312]],
2025-07-24T04:20:27.0284670Z 
2025-07-24T04:20:27.0284750Z                               [[ 0.5348,  0.0634, -2.0494],
2025-07-24T04:20:27.0285060Z                                [-0.7125, -1.0646,  2.1844]],
2025-07-24T04:20:27.0285200Z 
2025-07-24T04:20:27.0285270Z                               [[ 0.1276,  0.1874, -0.6334],
2025-07-24T04:20:27.0285480Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-07-24T04:20:27.0285720Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-07-24T04:20:27.0285870Z 
2025-07-24T04:20:27.0285990Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-07-24T04:20:27.0286240Z         >>> torch.sparse.sum(S, [1, 3])
2025-07-24T04:20:27.0286440Z         tensor(indices=tensor([[0, 2, 3]]),
2025-07-24T04:20:27.0286690Z                values=tensor([[-1.4512,  0.4073],
2025-07-24T04:20:27.0286890Z                               [-0.8901,  0.2017],
2025-07-24T04:20:27.0287090Z                               [-0.3183, -1.7539]]),
2025-07-24T04:20:27.0287380Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-07-24T04:20:27.0287540Z 
2025-07-24T04:20:27.0287640Z         # when sum over all sparse dim, return a dense tensor
2025-07-24T04:20:27.0287860Z         # with summed dims squeezed
2025-07-24T04:20:27.0288050Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-07-24T04:20:27.0288240Z         tensor([-2.6596, -1.1450])
2025-07-24T04:20:27.0288400Z     
2025-07-24T04:20:27.0288610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.0288840Z 
2025-07-24T04:20:27.0289200Z msg = Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-07-24T04:20:27.0289780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0290010Z 
2025-07-24T04:20:27.0290140Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-07-24T04:20:27.0290470Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-07-24T04:20:27.0290790Z pushes the map into PyTorch operations called by ``func``, effectively
2025-07-24T04:20:27.0291060Z vectorizing those operations.
2025-07-24T04:20:27.0291170Z 
2025-07-24T04:20:27.0291310Z vmap is useful for handling batch dimensions: one can write a function
2025-07-24T04:20:27.0291640Z ``func`` that runs on examples and then lift it to a function that can
2025-07-24T04:20:27.0291960Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-07-24T04:20:27.0292260Z compute batched gradients when composed with autograd.
2025-07-24T04:20:27.0292430Z 
2025-07-24T04:20:27.0292480Z .. note::
2025-07-24T04:20:27.0292660Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-07-24T04:20:27.0292910Z     convenience. Use whichever one you'd like.
2025-07-24T04:20:27.0293070Z 
2025-07-24T04:20:27.0293110Z Args:
2025-07-24T04:20:27.0293300Z     func (function): A Python function that takes one or more arguments.
2025-07-24T04:20:27.0293560Z         Must return one or more Tensors.
2025-07-24T04:20:27.0293820Z     in_dims (int or nested structure): Specifies which dimension of the
2025-07-24T04:20:27.0294120Z         inputs should be mapped over. ``in_dims`` should have a
2025-07-24T04:20:27.0294410Z         structure like the inputs. If the ``in_dim`` for a particular
2025-07-24T04:20:27.0294750Z         input is None, then that indicates there is no map dimension.
2025-07-24T04:20:27.0294980Z         Default: 0.
2025-07-24T04:20:27.0295190Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-07-24T04:20:27.0295490Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-07-24T04:20:27.0295770Z         it should have one element per output. Default: 0.
2025-07-24T04:20:27.0296040Z     randomness (str): Specifies whether the randomness in this
2025-07-24T04:20:27.0296350Z         vmap should be the same or different across batches. If 'different',
2025-07-24T04:20:27.0296670Z         the randomness for each batch will be different. If 'same', the
2025-07-24T04:20:27.0297040Z         randomness will be the same across batches. If 'error', any calls to
2025-07-24T04:20:27.0297370Z         random functions will error. Default: 'error'. WARNING: this flag
2025-07-24T04:20:27.0297690Z         only applies to random PyTorch operations and does not apply to
2025-07-24T04:20:27.0297960Z         Python's random module or numpy randomness.
2025-07-24T04:20:27.0298250Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-07-24T04:20:27.0298590Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-07-24T04:20:27.0298950Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-07-24T04:20:27.0299380Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-07-24T04:20:27.0299610Z 
2025-07-24T04:20:27.0299660Z Returns:
2025-07-24T04:20:27.0299880Z     Returns a new "batched" function. It takes the same inputs as
2025-07-24T04:20:27.0300180Z     ``func``, except each input has an extra dimension at the index
2025-07-24T04:20:27.0300480Z     specified by ``in_dims``. It takes returns the same outputs as
2025-07-24T04:20:27.0300780Z     ``func``, except each output has an extra dimension at the index
2025-07-24T04:20:27.0301020Z     specified by ``out_dims``.
2025-07-24T04:20:27.0301130Z 
2025-07-24T04:20:27.0301180Z .. warning:
2025-07-24T04:20:27.0301380Z     :func:`vmap` works best with functional-style code. Please do not
2025-07-24T04:20:27.0301680Z     perform any side-effects in ``func``, with the exception of
2025-07-24T04:20:27.0302010Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-07-24T04:20:27.0302350Z     Python data structures and assigning values to variables not captured
2025-07-24T04:20:27.0302600Z     in ``func``.
2025-07-24T04:20:27.0302690Z 
2025-07-24T04:20:27.0302830Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-07-24T04:20:27.0303190Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-07-24T04:20:27.0303520Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-07-24T04:20:27.0303720Z 
2025-07-24T04:20:27.0303780Z     >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:27.0304030Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-07-24T04:20:27.0304300Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-07-24T04:20:27.0304500Z     >>> batched_dot(x, y)
2025-07-24T04:20:27.0304610Z 
2025-07-24T04:20:27.0304750Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-07-24T04:20:27.0305010Z model authoring experience.
2025-07-24T04:20:27.0305120Z 
2025-07-24T04:20:27.0305190Z     >>> batch_size, feature_size = 3, 5
2025-07-24T04:20:27.0305430Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-07-24T04:20:27.0305640Z     >>>
2025-07-24T04:20:27.0305760Z     >>> def model(feature_vec):
2025-07-24T04:20:27.0305950Z     >>> # Very simple linear model with activation
2025-07-24T04:20:27.0306170Z     >>>     return feature_vec.dot(weights).relu()
2025-07-24T04:20:27.0306360Z     >>>
2025-07-24T04:20:27.0306510Z     >>> examples = torch.randn(batch_size, feature_size)
2025-07-24T04:20:27.0306740Z     >>> result = torch.vmap(model)(examples)
2025-07-24T04:20:27.0306930Z 
2025-07-24T04:20:27.0307080Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-07-24T04:20:27.0307450Z or impossible to batch. One example is higher-order gradient computation.
2025-07-24T04:20:27.0307810Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-07-24T04:20:27.0308160Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-07-24T04:20:27.0308530Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-07-24T04:20:27.0308910Z we can vectorize the whole computation, computing the Jacobian in a single
2025-07-24T04:20:27.0309180Z call to ``autograd.grad``.
2025-07-24T04:20:27.0309340Z 
2025-07-24T04:20:27.0309390Z     >>> # Setup
2025-07-24T04:20:27.0309520Z     >>> N = 5
2025-07-24T04:20:27.0309650Z     >>> f = lambda x: x**2
2025-07-24T04:20:27.0309830Z     >>> x = torch.randn(N, requires_grad=True)
2025-07-24T04:20:27.0310030Z     >>> y = f(x)
2025-07-24T04:20:27.0310170Z     >>> I_N = torch.eye(N)
2025-07-24T04:20:27.0310310Z     >>>
2025-07-24T04:20:27.0310440Z     >>> # Sequential approach
2025-07-24T04:20:27.0310690Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-07-24T04:20:27.0310970Z     >>>                  for v in I_N.unbind()]
2025-07-24T04:20:27.0311180Z     >>> jacobian = torch.stack(jacobian_rows)
2025-07-24T04:20:27.0311400Z     >>>
2025-07-24T04:20:27.0311550Z     >>> # vectorized gradient computation
2025-07-24T04:20:27.0311730Z     >>> def get_vjp(v):
2025-07-24T04:20:27.0311940Z     >>>     return torch.autograd.grad(y, x, v)
2025-07-24T04:20:27.0312160Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-07-24T04:20:27.0312300Z 
2025-07-24T04:20:27.0312460Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-07-24T04:20:27.0312690Z 
2025-07-24T04:20:27.0312750Z     >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:27.0312930Z     >>> batched_dot = torch.vmap(
2025-07-24T04:20:27.0313110Z     ...     torch.vmap(torch.dot)
2025-07-24T04:20:27.0313300Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-07-24T04:20:27.0313520Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-07-24T04:20:27.0313750Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-07-24T04:20:27.0313890Z 
2025-07-24T04:20:27.0314050Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-07-24T04:20:27.0314350Z the dimension that each inputs are batched along as
2025-07-24T04:20:27.0314510Z 
2025-07-24T04:20:27.0314570Z     >>> torch.dot  # [N], [N] -> []
2025-07-24T04:20:27.0314830Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-07-24T04:20:27.0315110Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-07-24T04:20:27.0315300Z     >>> batched_dot(
2025-07-24T04:20:27.0315440Z     ...     x, y
2025-07-24T04:20:27.0315630Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-07-24T04:20:27.0315830Z 
2025-07-24T04:20:27.0315980Z If there are multiple inputs each of which is batched along different dimensions,
2025-07-24T04:20:27.0316330Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-07-24T04:20:27.0316530Z 
2025-07-24T04:20:27.0316580Z     >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:27.0316850Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-07-24T04:20:27.0317130Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-07-24T04:20:27.0317320Z     >>> batched_dot(
2025-07-24T04:20:27.0317460Z     ...     x, y
2025-07-24T04:20:27.0317660Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-07-24T04:20:27.0317840Z 
2025-07-24T04:20:27.0317990Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-07-24T04:20:27.0318260Z matching the shape of the input:
2025-07-24T04:20:27.0318390Z 
2025-07-24T04:20:27.0318470Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-07-24T04:20:27.0318740Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-07-24T04:20:27.0318940Z     >>> input = {"x": x, "y": y}
2025-07-24T04:20:27.0319160Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-07-24T04:20:27.0319390Z     >>> batched_dot(input)
2025-07-24T04:20:27.0319500Z 
2025-07-24T04:20:27.0319670Z By default, the output is batched along the first dimension. However, it can be batched
2025-07-24T04:20:27.0319970Z along any dimension by using ``out_dims``
2025-07-24T04:20:27.0320110Z 
2025-07-24T04:20:27.0320160Z     >>> f = lambda x: x**2
2025-07-24T04:20:27.0320320Z     >>> x = torch.randn(2, 5)
2025-07-24T04:20:27.0320510Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-07-24T04:20:27.0320740Z     >>> batched_pow(x)  # [5, 2]
2025-07-24T04:20:27.0320860Z 
2025-07-24T04:20:27.0321030Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-07-24T04:20:27.0321320Z accept kwargs
2025-07-24T04:20:27.0321410Z 
2025-07-24T04:20:27.0321470Z     >>> x = torch.randn([2, 5])
2025-07-24T04:20:27.0321630Z     >>> def fn(x, scale=4.):
2025-07-24T04:20:27.0321790Z     >>>   return x * scale
2025-07-24T04:20:27.0321940Z     >>>
2025-07-24T04:20:27.0322060Z     >>> batched_pow = torch.vmap(fn)
2025-07-24T04:20:27.0322270Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-07-24T04:20:27.0322590Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-07-24T04:20:27.0322800Z 
2025-07-24T04:20:27.0322840Z .. note::
2025-07-24T04:20:27.0323080Z     vmap does not provide general autobatching or handle variable-length
2025-07-24T04:20:27.0323340Z     sequences out of the box.
2025-07-24T04:20:27.0323460Z 
2025-07-24T04:20:27.0323620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.0323880Z 
2025-07-24T04:20:27.0324240Z msg = Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-07-24T04:20:27.0324820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0325190Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-07-24T04:20:27.0325530Z     input(s) specified by ``argnums``. This operator can be nested to
2025-07-24T04:20:27.0325780Z     compute higher-order gradients.
2025-07-24T04:20:27.0325920Z 
2025-07-24T04:20:27.0325960Z     Args:
2025-07-24T04:20:27.0326160Z         func (Callable): A Python function that takes one or more arguments.
2025-07-24T04:20:27.0326520Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-07-24T04:20:27.0326910Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-07-24T04:20:27.0327200Z             ``(output, aux)``.
2025-07-24T04:20:27.0327480Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-07-24T04:20:27.0327840Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-07-24T04:20:27.0328170Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-07-24T04:20:27.0328470Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-07-24T04:20:27.0328640Z 
2025-07-24T04:20:27.0328690Z     Returns:
2025-07-24T04:20:27.0328930Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-07-24T04:20:27.0329310Z         the function is the gradient tensor(s) with respect to the first argument.
2025-07-24T04:20:27.0329690Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-07-24T04:20:27.0330080Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-07-24T04:20:27.0330380Z         respect to each ``argnums`` value is returned.
2025-07-24T04:20:27.0330540Z 
2025-07-24T04:20:27.0330650Z     Example of using ``grad``:
2025-07-24T04:20:27.0330760Z 
2025-07-24T04:20:27.0330820Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:27.0330990Z         >>> from torch.func import grad
2025-07-24T04:20:27.0331180Z         >>> x = torch.randn([])
2025-07-24T04:20:27.0331370Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-07-24T04:20:27.0331580Z         >>> assert torch.allclose(cos_x, x.cos())
2025-07-24T04:20:27.0331770Z         >>>
2025-07-24T04:20:27.0331900Z         >>> # Second-order gradients
2025-07-24T04:20:27.0332120Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-07-24T04:20:27.0332360Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-07-24T04:20:27.0332510Z 
2025-07-24T04:20:27.0332720Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-07-24T04:20:27.0332990Z 
2025-07-24T04:20:27.0333060Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:27.0339210Z         >>> from torch.func import grad, vmap
2025-07-24T04:20:27.0339460Z         >>> batch_size, feature_size = 3, 5
2025-07-24T04:20:27.0339640Z         >>>
2025-07-24T04:20:27.0339780Z         >>> def model(weights, feature_vec):
2025-07-24T04:20:27.0340000Z         >>> # Very simple linear model with activation
2025-07-24T04:20:27.0340210Z         >>>     assert feature_vec.dim() == 1
2025-07-24T04:20:27.0340430Z         >>>     return feature_vec.dot(weights).relu()
2025-07-24T04:20:27.0340620Z         >>>
2025-07-24T04:20:27.0340850Z         >>> def compute_loss(weights, example, target):
2025-07-24T04:20:27.0341070Z         >>>     y = model(weights, example)
2025-07-24T04:20:27.0341350Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-07-24T04:20:27.0341550Z         >>>
2025-07-24T04:20:27.0341730Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-07-24T04:20:27.0342000Z         >>> examples = torch.randn(batch_size, feature_size)
2025-07-24T04:20:27.0342230Z         >>> targets = torch.randn(batch_size)
2025-07-24T04:20:27.0342440Z         >>> inputs = (weights, examples, targets)
2025-07-24T04:20:27.0342730Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-07-24T04:20:27.0342990Z         ...     *inputs
2025-07-24T04:20:27.0343130Z         ... )
2025-07-24T04:20:27.0343210Z 
2025-07-24T04:20:27.0343320Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-07-24T04:20:27.0343500Z 
2025-07-24T04:20:27.0343550Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:27.0343730Z         >>> from torch.func import grad
2025-07-24T04:20:27.0343920Z         >>> def my_loss_func(y, y_pred):
2025-07-24T04:20:27.0344130Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-07-24T04:20:27.0344350Z         >>>    loss = loss_per_sample.mean()
2025-07-24T04:20:27.0344570Z         >>>    return loss, (y_pred, loss_per_sample)
2025-07-24T04:20:27.0344750Z         >>>
2025-07-24T04:20:27.0344920Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-07-24T04:20:27.0345140Z         >>> y_true = torch.rand(4)
2025-07-24T04:20:27.0345340Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-07-24T04:20:27.0345540Z         >>> out = fn(y_true, y_preds)
2025-07-24T04:20:27.0345820Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-07-24T04:20:27.0346040Z 
2025-07-24T04:20:27.0346100Z     .. note::
2025-07-24T04:20:27.0346280Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-07-24T04:20:27.0346450Z 
2025-07-24T04:20:27.0346550Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-07-24T04:20:27.0346700Z 
2025-07-24T04:20:27.0346760Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:27.0346930Z             >>> def f(x):
2025-07-24T04:20:27.0347090Z             >>>     with torch.no_grad():
2025-07-24T04:20:27.0347270Z             >>>         c = x ** 2
2025-07-24T04:20:27.0347440Z             >>>     return x - c
2025-07-24T04:20:27.0347550Z 
2025-07-24T04:20:27.0347670Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-07-24T04:20:27.0347900Z 
2025-07-24T04:20:27.0348020Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-07-24T04:20:27.0348200Z 
2025-07-24T04:20:27.0348250Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:27.0348430Z             >>> with torch.no_grad():
2025-07-24T04:20:27.0348610Z             >>>     grad(f)(x)
2025-07-24T04:20:27.0348720Z 
2025-07-24T04:20:27.0348850Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-07-24T04:20:27.0349190Z         outer one. This is because ``grad`` is a "function transform": its result
2025-07-24T04:20:27.0349530Z         should not depend on the result of a context manager outside of ``f``.
2025-07-24T04:20:27.0349760Z 
2025-07-24T04:20:27.0349810Z     
2025-07-24T04:20:27.0350030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.0350240Z 
2025-07-24T04:20:27.0350650Z msg = Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-07-24T04:20:27.0351270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0351490Z 
2025-07-24T04:20:27.0351630Z Test if two objects are equal, and print an error message if test fails.
2025-07-24T04:20:27.0351820Z 
2025-07-24T04:20:27.0351950Z The test is performed with ``actual == desired``.
2025-07-24T04:20:27.0352100Z 
2025-07-24T04:20:27.0352150Z Parameters
2025-07-24T04:20:27.0352260Z ----------
2025-07-24T04:20:27.0352410Z test_string : str
2025-07-24T04:20:27.0352570Z     The message supplied to AssertionError.
2025-07-24T04:20:27.0352760Z actual : object
2025-07-24T04:20:27.0352930Z     The object to test for equality against `desired`.
2025-07-24T04:20:27.0353130Z desired : object
2025-07-24T04:20:27.0353270Z     The expected result.
2025-07-24T04:20:27.0353370Z 
2025-07-24T04:20:27.0353410Z Examples
2025-07-24T04:20:27.0353520Z --------
2025-07-24T04:20:27.0353650Z >>> np.testing.print_assert_equal(
2025-07-24T04:20:27.0353840Z ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-07-24T04:20:27.0354030Z ... )  # doctest: +SKIP
2025-07-24T04:20:27.0354180Z >>> np.testing.print_assert_equal(
2025-07-24T04:20:27.0354370Z ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-07-24T04:20:27.0354560Z ... )  # doctest: +SKIP
2025-07-24T04:20:27.0354710Z Traceback (most recent call last):
2025-07-24T04:20:27.0354870Z ...
2025-07-24T04:20:27.0355010Z AssertionError: Test XYZ of func xyz failed
2025-07-24T04:20:27.0355190Z ACTUAL:
2025-07-24T04:20:27.0355290Z [0, 1]
2025-07-24T04:20:27.0355400Z DESIRED:
2025-07-24T04:20:27.0355510Z [0, 2]
2025-07-24T04:20:27.0355570Z 
2025-07-24T04:20:27.0355570Z 
2025-07-24T04:20:27.0355720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.0355950Z 
2025-07-24T04:20:27.0356350Z msg = Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-07-24T04:20:27.0356960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0357190Z 
2025-07-24T04:20:27.0357320Z Raises an AssertionError if two items are not equal up to desired
2025-07-24T04:20:27.0357560Z precision.
2025-07-24T04:20:27.0357630Z 
2025-07-24T04:20:27.0357740Z .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:27.0358020Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:27.0358310Z           instead of this function for more consistent floating point
2025-07-24T04:20:27.0358550Z           comparisons.
2025-07-24T04:20:27.0358640Z 
2025-07-24T04:20:27.0358770Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-07-24T04:20:27.0358970Z 
2025-07-24T04:20:27.0359070Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-07-24T04:20:27.0359280Z 
2025-07-24T04:20:27.0359420Z That is a looser test than originally documented, but agrees with what the
2025-07-24T04:20:27.0359770Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-07-24T04:20:27.0360120Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-07-24T04:20:27.0360390Z delegates to assert_array_almost_equal
2025-07-24T04:20:27.0360520Z 
2025-07-24T04:20:27.0360570Z Parameters
2025-07-24T04:20:27.0360690Z ----------
2025-07-24T04:20:27.0360800Z actual : array_like
2025-07-24T04:20:27.0360940Z     The object to check.
2025-07-24T04:20:27.0361090Z desired : array_like
2025-07-24T04:20:27.0361230Z     The expected object.
2025-07-24T04:20:27.0361420Z decimal : int, optional
2025-07-24T04:20:27.0361570Z     Desired precision, default is 7.
2025-07-24T04:20:27.0361750Z err_msg : str, optional
2025-07-24T04:20:27.0361940Z     The error message to be printed in case of failure.
2025-07-24T04:20:27.0362150Z verbose : bool, optional
2025-07-24T04:20:27.0362370Z     If True, the conflicting values are appended to the error message.
2025-07-24T04:20:27.0362560Z 
2025-07-24T04:20:27.0362610Z Raises
2025-07-24T04:20:27.0362710Z ------
2025-07-24T04:20:27.0362820Z AssertionError
2025-07-24T04:20:27.0363020Z   If actual and desired are not equal up to specified precision.
2025-07-24T04:20:27.0363200Z 
2025-07-24T04:20:27.0363240Z See Also
2025-07-24T04:20:27.0363370Z --------
2025-07-24T04:20:27.0363580Z assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:27.0363910Z                  relative and/or absolute precision.
2025-07-24T04:20:27.0364190Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:27.0364380Z 
2025-07-24T04:20:27.0364430Z Examples
2025-07-24T04:20:27.0364530Z --------
2025-07-24T04:20:27.0364700Z >>> from torch._numpy.testing import assert_almost_equal
2025-07-24T04:20:27.0364940Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-07-24T04:20:27.0365190Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-07-24T04:20:27.0365430Z Traceback (most recent call last):
2025-07-24T04:20:27.0365590Z     ...
2025-07-24T04:20:27.0365700Z AssertionError:
2025-07-24T04:20:27.0365860Z Arrays are not almost equal to 10 decimals
2025-07-24T04:20:27.0366040Z  ACTUAL: 2.3333333333333
2025-07-24T04:20:27.0366180Z  DESIRED: 2.33333334
2025-07-24T04:20:27.0366270Z 
2025-07-24T04:20:27.0366330Z >>> assert_almost_equal(
2025-07-24T04:20:27.0366550Z ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-07-24T04:20:27.0366780Z ... )
2025-07-24T04:20:27.0366910Z Traceback (most recent call last):
2025-07-24T04:20:27.0367070Z     ...
2025-07-24T04:20:27.0367180Z AssertionError:
2025-07-24T04:20:27.0367330Z Arrays are not almost equal to 9 decimals
2025-07-24T04:20:27.0367510Z <BLANKLINE>
2025-07-24T04:20:27.0367640Z Mismatched elements: 1 / 2 (50%)
2025-07-24T04:20:27.0367830Z Max absolute difference: 6.666699636781459e-09
2025-07-24T04:20:27.0368050Z Max relative difference: 2.8571569790287484e-09
2025-07-24T04:20:27.0368270Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-07-24T04:20:27.0368500Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-07-24T04:20:27.0368650Z 
2025-07-24T04:20:27.0368650Z 
2025-07-24T04:20:27.0368800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.0369020Z 
2025-07-24T04:20:27.0369420Z msg = Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-07-24T04:20:27.0370050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.0370270Z 
2025-07-24T04:20:27.0370410Z Raises an AssertionError if two items are not equal up to significant
2025-07-24T04:20:27.0370650Z digits.
2025-07-24T04:20:27.0370710Z 
2025-07-24T04:20:27.0370820Z .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:27.0371140Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:27.0371430Z           instead of this function for more consistent floating point
2025-07-24T04:20:27.0371660Z           comparisons.
2025-07-24T04:20:27.0371750Z 
2025-07-24T04:20:27.0371860Z Given two numbers, check that they are approximately equal.
2025-07-24T04:20:27.0372180Z Approximately equal is defined as the number of significant digits
2025-07-24T04:20:27.0372420Z that agree.
2025-07-24T04:20:27.0372490Z 
2025-07-24T04:20:27.0372540Z Parameters
2025-07-24T04:20:27.0372650Z ----------
2025-07-24T04:20:27.0372760Z actual : scalar
2025-07-24T04:20:27.0372900Z     The object to check.
2025-07-24T04:20:27.0373080Z desired : scalar
2025-07-24T04:20:27.0373220Z     The expected object.
2025-07-24T04:20:27.0373370Z significant : int, optional
2025-07-24T04:20:27.0373540Z     Desired precision, default is 7.
2025-07-24T04:20:27.0373710Z err_msg : str, optional
2025-07-24T04:20:27.0373900Z     The error message to be printed in case of failure.
2025-07-24T04:20:27.0374110Z verbose : bool, optional
2025-07-24T04:20:27.0374340Z     If True, the conflicting values are appended to the error message.
2025-07-24T04:20:27.0374530Z 
2025-07-24T04:20:27.0374570Z Raises
2025-07-24T04:20:27.0374670Z ------
2025-07-24T04:20:27.0374780Z AssertionError
2025-07-24T04:20:27.0375000Z   If actual and desired are not equal up to specified precision.
2025-07-24T04:20:27.0375190Z 
2025-07-24T04:20:27.0375230Z See Also
2025-07-24T04:20:27.0375380Z --------
2025-07-24T04:20:27.0375630Z assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:27.0375920Z                  relative and/or absolute precision.
2025-07-24T04:20:27.0376190Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:27.0376380Z 
2025-07-24T04:20:27.0376430Z Examples
2025-07-24T04:20:27.0376530Z --------
2025-07-24T04:20:27.0376660Z >>> np.testing.assert_approx_equal(
2025-07-24T04:20:27.0376850Z ...     0.12345677777777e-20, 0.1234567e-20
2025-07-24T04:20:27.0377030Z ... )  # doctest: +SKIP
2025-07-24T04:20:27.0377180Z >>> np.testing.assert_approx_equal(
2025-07-24T04:20:27.0377360Z ...     0.12345670e-20,
2025-07-24T04:20:27.0377510Z ...     0.12345671e-20,  # doctest: +SKIP
2025-07-24T04:20:27.0377680Z ...     significant=8,
2025-07-24T04:20:27.0377820Z ... )
2025-07-24T04:20:27.0377940Z >>> np.testing.assert_approx_equal(
2025-07-24T04:20:27.0378110Z ...     0.12345670e-20,
2025-07-24T04:20:27.0378260Z ...     0.12345672e-20,  # doctest: +SKIP
2025-07-24T04:20:27.0378440Z ...     significant=8,
2025-07-24T04:20:27.0378570Z ... )
2025-07-24T04:20:27.0378690Z Traceback (most recent call last):
2025-07-24T04:20:27.0378860Z     ...
2025-07-24T04:20:27.0378970Z AssertionError:
2025-07-24T04:20:27.0379120Z Items are not equal to 8 significant digits:
2025-07-24T04:20:27.0379310Z  ACTUAL: 1.234567e-21
2025-07-24T04:20:27.0379450Z  DESIRED: 1.2345672e-21
2025-07-24T04:20:27.0379550Z 
2025-07-24T04:20:27.0379640Z the evaluated condition that raises the exception is
2025-07-24T04:20:27.0379800Z 
2025-07-24T04:20:27.0379940Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-07-24T04:20:27.0380160Z True
2025-07-24T04:20:27.0380220Z 
2025-07-24T04:20:27.0380220Z 
2025-07-24T04:20:27.0380370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2461320Z 
2025-07-24T04:20:27.2461920Z msg = Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-07-24T04:20:27.2462580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2462830Z 
2025-07-24T04:20:27.2462970Z Raises an AssertionError if two array_like objects are not equal.
2025-07-24T04:20:27.2463170Z 
2025-07-24T04:20:27.2463300Z Given two array_like objects, check that the shape is equal and all
2025-07-24T04:20:27.2463830Z elements of these objects are equal (but see the Notes for the special
2025-07-24T04:20:27.2464200Z handling of a scalar). An exception is raised at shape mismatch or
2025-07-24T04:20:27.2464540Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-07-24T04:20:27.2464890Z are compared like numbers, no assertion is raised if both objects have
2025-07-24T04:20:27.2465150Z NaNs in the same positions.
2025-07-24T04:20:27.2465270Z 
2025-07-24T04:20:27.2465410Z The usual caution for verifying equality with floating point numbers is
2025-07-24T04:20:27.2465660Z advised.
2025-07-24T04:20:27.2465740Z 
2025-07-24T04:20:27.2465790Z Parameters
2025-07-24T04:20:27.2466030Z ----------
2025-07-24T04:20:27.2466150Z x : array_like
2025-07-24T04:20:27.2466290Z     The actual object to check.
2025-07-24T04:20:27.2466450Z y : array_like
2025-07-24T04:20:27.2466590Z     The desired, expected object.
2025-07-24T04:20:27.2466760Z err_msg : str, optional
2025-07-24T04:20:27.2466950Z     The error message to be printed in case of failure.
2025-07-24T04:20:27.2467160Z verbose : bool, optional
2025-07-24T04:20:27.2467390Z     If True, the conflicting values are appended to the error message.
2025-07-24T04:20:27.2467640Z strict : bool, optional
2025-07-24T04:20:27.2467850Z     If True, raise an AssertionError when either the shape or the data
2025-07-24T04:20:27.2468180Z     type of the array_like objects does not match. The special
2025-07-24T04:20:27.2468480Z     handling for scalars mentioned in the Notes section is disabled.
2025-07-24T04:20:27.2468670Z 
2025-07-24T04:20:27.2468720Z Raises
2025-07-24T04:20:27.2468910Z ------
2025-07-24T04:20:27.2469020Z AssertionError
2025-07-24T04:20:27.2469180Z     If actual and desired objects are not equal.
2025-07-24T04:20:27.2469330Z 
2025-07-24T04:20:27.2469380Z See Also
2025-07-24T04:20:27.2469490Z --------
2025-07-24T04:20:27.2469690Z assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:27.2469980Z                  relative and/or absolute precision.
2025-07-24T04:20:27.2470260Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:27.2470460Z 
2025-07-24T04:20:27.2470500Z Notes
2025-07-24T04:20:27.2470610Z -----
2025-07-24T04:20:27.2470790Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-07-24T04:20:27.2471110Z function checks that each element of the array_like object is equal to
2025-07-24T04:20:27.2471450Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-07-24T04:20:27.2471650Z 
2025-07-24T04:20:27.2471700Z Examples
2025-07-24T04:20:27.2471810Z --------
2025-07-24T04:20:27.2471950Z The first assert does not raise an exception:
2025-07-24T04:20:27.2472100Z 
2025-07-24T04:20:27.2472170Z >>> np.testing.assert_array_equal(
2025-07-24T04:20:27.2472380Z ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-07-24T04:20:27.2472570Z ... )
2025-07-24T04:20:27.2472630Z 
2025-07-24T04:20:27.2472780Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-07-24T04:20:27.2473050Z functions for these cases instead:
2025-07-24T04:20:27.2473170Z 
2025-07-24T04:20:27.2473240Z >>> np.testing.assert_allclose(
2025-07-24T04:20:27.2473480Z ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-07-24T04:20:27.2473710Z ... )
2025-07-24T04:20:27.2473780Z 
2025-07-24T04:20:27.2473900Z As mentioned in the Notes section, `assert_array_equal` has special
2025-07-24T04:20:27.2474230Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-07-24T04:20:27.2474430Z 
2025-07-24T04:20:27.2474500Z >>> x = np.full((2, 5), fill_value=3)
2025-07-24T04:20:27.2474690Z >>> np.testing.assert_array_equal(x, 3)
2025-07-24T04:20:27.2474830Z 
2025-07-24T04:20:27.2474960Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-07-24T04:20:27.2475200Z array:
2025-07-24T04:20:27.2475260Z 
2025-07-24T04:20:27.2475360Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-07-24T04:20:27.2475620Z Traceback (most recent call last):
2025-07-24T04:20:27.2475790Z     ...
2025-07-24T04:20:27.2475900Z AssertionError:
2025-07-24T04:20:27.2476030Z Arrays are not equal
2025-07-24T04:20:27.2476170Z <BLANKLINE>
2025-07-24T04:20:27.2476290Z (shapes (2, 5), () mismatch)
2025-07-24T04:20:27.2476460Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-07-24T04:20:27.2476690Z         [3, 3, 3, 3, 3]])
2025-07-24T04:20:27.2476860Z  y: torch.ndarray(3)
2025-07-24T04:20:27.2476970Z 
2025-07-24T04:20:27.2482730Z The `strict` parameter also ensures that the array data types match:
2025-07-24T04:20:27.2482950Z 
2025-07-24T04:20:27.2483010Z >>> x = np.array([2, 2, 2])
2025-07-24T04:20:27.2483210Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-07-24T04:20:27.2483530Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-07-24T04:20:27.2483750Z Traceback (most recent call last):
2025-07-24T04:20:27.2483910Z     ...
2025-07-24T04:20:27.2484030Z AssertionError:
2025-07-24T04:20:27.2484160Z Arrays are not equal
2025-07-24T04:20:27.2484300Z <BLANKLINE>
2025-07-24T04:20:27.2484450Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-07-24T04:20:27.2484660Z  x: torch.ndarray([2, 2, 2])
2025-07-24T04:20:27.2484830Z  y: torch.ndarray([2., 2., 2.])
2025-07-24T04:20:27.2484940Z 
2025-07-24T04:20:27.2485100Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2485320Z 
2025-07-24T04:20:27.2485890Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-07-24T04:20:27.2486540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2486760Z 
2025-07-24T04:20:27.2486890Z Raises an AssertionError if two objects are not equal up to desired
2025-07-24T04:20:27.2487150Z precision.
2025-07-24T04:20:27.2487220Z 
2025-07-24T04:20:27.2487340Z .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:27.2487630Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:27.2487930Z           instead of this function for more consistent floating point
2025-07-24T04:20:27.2488160Z           comparisons.
2025-07-24T04:20:27.2488260Z 
2025-07-24T04:20:27.2488400Z The test verifies identical shapes and that the elements of ``actual`` and
2025-07-24T04:20:27.2488670Z ``desired`` satisfy.
2025-07-24T04:20:27.2488760Z 
2025-07-24T04:20:27.2488840Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-07-24T04:20:27.2488990Z 
2025-07-24T04:20:27.2489130Z That is a looser test than originally documented, but agrees with what the
2025-07-24T04:20:27.2489490Z actual implementation did up to rounding vagaries. An exception is raised
2025-07-24T04:20:27.2489840Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-07-24T04:20:27.2490190Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-07-24T04:20:27.2490460Z objects have NaNs in the same positions.
2025-07-24T04:20:27.2490600Z 
2025-07-24T04:20:27.2490640Z Parameters
2025-07-24T04:20:27.2490760Z ----------
2025-07-24T04:20:27.2490880Z x : array_like
2025-07-24T04:20:27.2491010Z     The actual object to check.
2025-07-24T04:20:27.2491170Z y : array_like
2025-07-24T04:20:27.2491310Z     The desired, expected object.
2025-07-24T04:20:27.2491480Z decimal : int, optional
2025-07-24T04:20:27.2491650Z     Desired precision, default is 6.
2025-07-24T04:20:27.2491830Z err_msg : str, optional
2025-07-24T04:20:27.2492020Z   The error message to be printed in case of failure.
2025-07-24T04:20:27.2492230Z verbose : bool, optional
2025-07-24T04:20:27.2492460Z     If True, the conflicting values are appended to the error message.
2025-07-24T04:20:27.2492650Z 
2025-07-24T04:20:27.2492700Z Raises
2025-07-24T04:20:27.2492810Z ------
2025-07-24T04:20:27.2492920Z AssertionError
2025-07-24T04:20:27.2493120Z     If actual and desired are not equal up to specified precision.
2025-07-24T04:20:27.2493350Z 
2025-07-24T04:20:27.2493410Z See Also
2025-07-24T04:20:27.2493510Z --------
2025-07-24T04:20:27.2493720Z assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:27.2494010Z                  relative and/or absolute precision.
2025-07-24T04:20:27.2494280Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:27.2494480Z 
2025-07-24T04:20:27.2494520Z Examples
2025-07-24T04:20:27.2494630Z --------
2025-07-24T04:20:27.2494770Z the first assert does not raise an exception
2025-07-24T04:20:27.2494920Z 
2025-07-24T04:20:27.2495080Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-07-24T04:20:27.2495340Z 
2025-07-24T04:20:27.2495420Z >>> np.testing.assert_array_almost_equal(
2025-07-24T04:20:27.2495650Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-07-24T04:20:27.2495860Z ... )
2025-07-24T04:20:27.2495990Z Traceback (most recent call last):
2025-07-24T04:20:27.2496150Z     ...
2025-07-24T04:20:27.2496200Z AssertionError:
2025-07-24T04:20:27.2496270Z Arrays are not almost equal to 5 decimals
2025-07-24T04:20:27.2496320Z <BLANKLINE>
2025-07-24T04:20:27.2496380Z Mismatched elements: 1 / 3 (33.3%)
2025-07-24T04:20:27.2496460Z Max absolute difference: 5.999999999994898e-05
2025-07-24T04:20:27.2496530Z Max relative difference: 2.5713661239633743e-05
2025-07-24T04:20:27.2496660Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-07-24T04:20:27.2496760Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-07-24T04:20:27.2496760Z 
2025-07-24T04:20:27.2496880Z >>> np.testing.assert_array_almost_equal(
2025-07-24T04:20:27.2496970Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-07-24T04:20:27.2497010Z ... )
2025-07-24T04:20:27.2497080Z Traceback (most recent call last):
2025-07-24T04:20:27.2497120Z     ...
2025-07-24T04:20:27.2497170Z AssertionError:
2025-07-24T04:20:27.2497230Z Arrays are not almost equal to 5 decimals
2025-07-24T04:20:27.2497280Z <BLANKLINE>
2025-07-24T04:20:27.2497340Z x and y nan location mismatch:
2025-07-24T04:20:27.2497440Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-07-24T04:20:27.2497530Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-07-24T04:20:27.2497530Z 
2025-07-24T04:20:27.2497530Z 
2025-07-24T04:20:27.2497690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2497690Z 
2025-07-24T04:20:27.2498110Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-07-24T04:20:27.2498270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2498400Z Context manager that resets warning registry for catching warnings
2025-07-24T04:20:27.2498400Z 
2025-07-24T04:20:27.2498550Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-07-24T04:20:27.2498690Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-07-24T04:20:27.2498840Z     it impossible to retrigger the warning in this module, whatever you put in
2025-07-24T04:20:27.2498980Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-07-24T04:20:27.2499070Z     as a keyword argument to its constructor and:
2025-07-24T04:20:27.2499070Z 
2025-07-24T04:20:27.2499210Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-07-24T04:20:27.2499250Z       on entry;
2025-07-24T04:20:27.2499370Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-07-24T04:20:27.2499370Z 
2025-07-24T04:20:27.2499510Z     This makes it possible to trigger any warning afresh inside the context
2025-07-24T04:20:27.2499620Z     manager without disturbing the state of warnings outside.
2025-07-24T04:20:27.2499620Z 
2025-07-24T04:20:27.2499770Z     For compatibility with Python 3.0, please consider all arguments to be
2025-07-24T04:20:27.2499850Z     keyword-only.
2025-07-24T04:20:27.2499850Z 
2025-07-24T04:20:27.2499910Z     Parameters
2025-07-24T04:20:27.2499950Z     ----------
2025-07-24T04:20:27.2500010Z     record : bool, optional
2025-07-24T04:20:27.2500120Z         Specifies whether warnings should be captured by a custom
2025-07-24T04:20:27.2500270Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-07-24T04:20:27.2500400Z         returned by the context manager. Otherwise None is returned by the
2025-07-24T04:20:27.2500540Z         context manager. The objects appended to the list are arguments whose
2025-07-24T04:20:27.2500640Z         attributes mirror the arguments to ``showwarning()``.
2025-07-24T04:20:27.2500740Z     modules : sequence, optional
2025-07-24T04:20:27.2500870Z         Sequence of modules for which to reset warnings registry on entry and
2025-07-24T04:20:27.2500990Z         restore on exit. To work correctly, all 'ignore' filters should
2025-07-24T04:20:27.2501060Z         filter by one of these modules.
2025-07-24T04:20:27.2501060Z 
2025-07-24T04:20:27.2501110Z     Examples
2025-07-24T04:20:27.2501160Z     --------
2025-07-24T04:20:27.2501210Z     >>> import warnings
2025-07-24T04:20:27.2501330Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-07-24T04:20:27.2501400Z     ...     modules=[np.core.fromnumeric]
2025-07-24T04:20:27.2501440Z     ... ):
2025-07-24T04:20:27.2501530Z     ...     warnings.simplefilter("always")
2025-07-24T04:20:27.2501680Z     ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-07-24T04:20:27.2501820Z     ...     # do something that raises a warning but ignore those in
2025-07-24T04:20:27.2501890Z     ...     # np.core.fromnumeric
2025-07-24T04:20:27.2501930Z     
2025-07-24T04:20:27.2502090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2604090Z 
2025-07-24T04:20:27.2604590Z msg = Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-07-24T04:20:27.2604800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2604940Z Return the recommended gain value for the given nonlinearity function.
2025-07-24T04:20:27.2604940Z 
2025-07-24T04:20:27.2605010Z     The values are as follows:
2025-07-24T04:20:27.2605010Z 
2025-07-24T04:20:27.2605090Z     ================= ====================================================
2025-07-24T04:20:27.2605150Z     nonlinearity      gain
2025-07-24T04:20:27.2605240Z     ================= ====================================================
2025-07-24T04:20:27.2605300Z     Linear / Identity :math:`1`
2025-07-24T04:20:27.2605360Z     Conv{1,2,3}D      :math:`1`
2025-07-24T04:20:27.2605410Z     Sigmoid           :math:`1`
2025-07-24T04:20:27.2605480Z     Tanh              :math:`\frac{5}{3}`
2025-07-24T04:20:27.2605540Z     ReLU              :math:`\sqrt{2}`
2025-07-24T04:20:27.2605660Z     Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-07-24T04:20:27.2605730Z     SELU              :math:`\frac{3}{4}`
2025-07-24T04:20:27.2605800Z     ================= ====================================================
2025-07-24T04:20:27.2605810Z 
2025-07-24T04:20:27.2605860Z     .. warning::
2025-07-24T04:20:27.2605980Z         In order to implement `Self-Normalizing Neural Networks`_ ,
2025-07-24T04:20:27.2606140Z         you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-07-24T04:20:27.2606250Z         This gives the initial weights a variance of ``1 / N``,
2025-07-24T04:20:27.2606400Z         which is necessary to induce a stable fixed point in the forward pass.
2025-07-24T04:20:27.2606540Z         In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-07-24T04:20:27.2606660Z         effect for more stable gradient flow in rectangular layers.
2025-07-24T04:20:27.2606740Z 
2025-07-24T04:20:27.2606780Z     Args:
2025-07-24T04:20:27.2606920Z         nonlinearity: the non-linear function (`nn.functional` name)
2025-07-24T04:20:27.2607020Z         param: optional parameter for the non-linear function
2025-07-24T04:20:27.2607030Z 
2025-07-24T04:20:27.2607080Z     Examples:
2025-07-24T04:20:27.2607140Z         >>> gain = nn.init.calculate_gain(
2025-07-24T04:20:27.2607210Z         ...     "leaky_relu", 0.2
2025-07-24T04:20:27.2607290Z         ... )  # leaky_relu with negative_slope=0.2
2025-07-24T04:20:27.2607290Z 
2025-07-24T04:20:27.2607600Z     .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-07-24T04:20:27.2607700Z     
2025-07-24T04:20:27.2607860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2607860Z 
2025-07-24T04:20:27.2608310Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-07-24T04:20:27.2608480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2608480Z 
2025-07-24T04:20:27.2608620Z Context manager for training with uneven inputs across processes in DDP.
2025-07-24T04:20:27.2608620Z 
2025-07-24T04:20:27.2608760Z This context manager will keep track of already-joined DDP processes,
2025-07-24T04:20:27.2608910Z and "shadow" the forward and backward passes by inserting collective
2025-07-24T04:20:27.2609050Z communication operations to match with the ones created by non-joined
2025-07-24T04:20:27.2609220Z DDP processes. This will ensure each collective call has a corresponding
2025-07-24T04:20:27.2609370Z call by already-joined DDP processes, preventing hangs or errors that
2025-07-24T04:20:27.2609490Z would otherwise happen when training with uneven inputs across
2025-07-24T04:20:27.2609630Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-07-24T04:20:27.2609760Z specified to be ``True``, all trainers will throw an error once one rank
2025-07-24T04:20:27.2609890Z runs out of inputs, allowing these errors to be caught and handled
2025-07-24T04:20:27.2609950Z according to application logic.
2025-07-24T04:20:27.2609950Z 
2025-07-24T04:20:27.2610080Z Once all DDP processes have joined, the context manager will broadcast
2025-07-24T04:20:27.2610220Z the model corresponding to the last joined process to all processes to
2025-07-24T04:20:27.2610310Z ensure the model is the same across all processes
2025-07-24T04:20:27.2610370Z (which is guaranteed by DDP).
2025-07-24T04:20:27.2610370Z 
2025-07-24T04:20:27.2610500Z To use this to enable training with uneven inputs across processes,
2025-07-24T04:20:27.2610640Z simply wrap this context manager around your training loop. No further
2025-07-24T04:20:27.2610750Z modifications to the model or data loading is required.
2025-07-24T04:20:27.2610750Z 
2025-07-24T04:20:27.2610800Z .. warning::
2025-07-24T04:20:27.2610920Z     If the model or training loop this context manager is wrapped around
2025-07-24T04:20:27.2611040Z     has additional distributed collective operations, such as
2025-07-24T04:20:27.2611150Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-07-24T04:20:27.2611280Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-07-24T04:20:27.2611410Z     context manager is not aware of non-DDP collective communication.
2025-07-24T04:20:27.2611520Z     This flag will cause all ranks to throw when any one rank
2025-07-24T04:20:27.2611640Z     exhausts inputs, allowing these errors to be caught and recovered
2025-07-24T04:20:27.2611710Z     from across all ranks.
2025-07-24T04:20:27.2611710Z 
2025-07-24T04:20:27.2611750Z Args:
2025-07-24T04:20:27.2611870Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-07-24T04:20:27.2611990Z         gradients by the initial ``world_size`` DDP training was launched
2025-07-24T04:20:27.2612130Z         with. If ``False``, will compute the effective world size
2025-07-24T04:20:27.2612250Z         (number of ranks that have not depleted their inputs yet) and
2025-07-24T04:20:27.2612340Z         divide gradients by that during allreduce. Set
2025-07-24T04:20:27.2612450Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-07-24T04:20:27.2612570Z         sample including the uneven inputs have equal weight in terms of
2025-07-24T04:20:27.2612680Z         how much they contribute to the global gradient. This is
2025-07-24T04:20:27.2612790Z         achieved by always dividing the gradient by the initial
2025-07-24T04:20:27.2612910Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-07-24T04:20:27.2613040Z         this to ``False``, we divide the gradient by the remaining
2025-07-24T04:20:27.2613170Z         number of nodes. This ensures parity with training on a smaller
2025-07-24T04:20:27.2613280Z         ``world_size`` although it also means the uneven inputs would
2025-07-24T04:20:27.2613400Z         contribute more towards the global gradient. Typically, you
2025-07-24T04:20:27.2613520Z         would want to set this to ``True`` for cases where the last few
2025-07-24T04:20:27.2613640Z         inputs of your training job are uneven. In extreme cases, where
2025-07-24T04:20:27.2613750Z         there is a large discrepancy in the number of inputs, setting
2025-07-24T04:20:27.2613880Z         this to ``False`` might provide better results.
2025-07-24T04:20:27.2614010Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-07-24T04:20:27.2614140Z         in ``enable=False`` to disable in cases where you know that
2025-07-24T04:20:27.2614260Z         inputs are even across participating processes. Default is
2025-07-24T04:20:27.2614310Z         ``True``.
2025-07-24T04:20:27.2614420Z     throw_on_early_termination (bool): Whether to throw an error
2025-07-24T04:20:27.2614530Z         or continue training when at least one rank has exhausted
2025-07-24T04:20:27.2614650Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-07-24T04:20:27.2614760Z         of data. If ``False``, will continue training with a smaller
2025-07-24T04:20:27.2614880Z         effective world size until all ranks are joined. Note that if
2025-07-24T04:20:27.2614950Z         this flag is specified, then the flag
2025-07-24T04:20:27.2615060Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-07-24T04:20:27.2615110Z         is ``False``.
2025-07-24T04:20:27.2615110Z 
2025-07-24T04:20:27.2615110Z 
2025-07-24T04:20:27.2615160Z Example::
2025-07-24T04:20:27.2615160Z 
2025-07-24T04:20:27.2615230Z     >>> # xdoctest: +SKIP("Distributed")
2025-07-24T04:20:27.2615280Z     >>> import torch
2025-07-24T04:20:27.2615350Z     >>> import torch.distributed as dist
2025-07-24T04:20:27.2615390Z     >>> import os
2025-07-24T04:20:27.2615460Z     >>> import torch.multiprocessing as mp
2025-07-24T04:20:27.2615520Z     >>> import torch.nn as nn
2025-07-24T04:20:27.2615580Z     >>> # On each spawned worker
2025-07-24T04:20:27.2615640Z     >>> def worker(rank):
2025-07-24T04:20:27.2615740Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-07-24T04:20:27.2615810Z     >>>     torch.cuda.set_device(rank)
2025-07-24T04:20:27.2615890Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-07-24T04:20:27.2616000Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-07-24T04:20:27.2616080Z     >>>         model, device_ids=[rank], output_device=rank
2025-07-24T04:20:27.2616130Z     >>>     )
2025-07-24T04:20:27.2616210Z     >>>     # Rank 1 gets one more input than rank 0.
2025-07-24T04:20:27.2616320Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-07-24T04:20:27.2616390Z     >>>     with model.join():
2025-07-24T04:20:27.2616440Z     >>>         for _ in range(5):
2025-07-24T04:20:27.2616500Z     >>>             for inp in inputs:
2025-07-24T04:20:27.2616570Z     >>>                 loss = model(inp).sum()
2025-07-24T04:20:27.2616680Z     >>>                 loss.backward()
2025-07-24T04:20:27.2616790Z     >>>     # Without the join() API, the below synchronization will hang
2025-07-24T04:20:27.2616880Z     >>>     # blocking for rank 1's allreduce to complete.
2025-07-24T04:20:27.2616960Z     >>>     torch.cuda.synchronize(device=rank)
2025-07-24T04:20:27.2616960Z 
2025-07-24T04:20:27.2617120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2617120Z 
2025-07-24T04:20:27.2617610Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-07-24T04:20:27.2617810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2617810Z 
2025-07-24T04:20:27.2617990Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-07-24T04:20:27.2618000Z 
2025-07-24T04:20:27.2618130Z Registers an optimizer with DDP such that the optimization for a
2025-07-24T04:20:27.2618250Z parameter will run immediately when that parameter's gradient is
2025-07-24T04:20:27.2618380Z finished with reduction, instead of waiting for all parameters'
2025-07-24T04:20:27.2618500Z gradients to finish reduction. This can result in a training speedup
2025-07-24T04:20:27.2618660Z depending on your workload since the optimizer can run while gradient
2025-07-24T04:20:27.2618800Z reduction for other parameters are still ongoing. In addition, this has
2025-07-24T04:20:27.2618980Z the potential to reduce peak memory consumption during training, as it
2025-07-24T04:20:27.2619100Z only needs to load the per-parameter optimizer states of a single
2025-07-24T04:20:27.2619240Z parameter at a time, instead of loading all per-parameter optimizer
2025-07-24T04:20:27.2619290Z states at once.
2025-07-24T04:20:27.2619290Z 
2025-07-24T04:20:27.2619330Z Args:
2025-07-24T04:20:27.2619460Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-07-24T04:20:27.2619510Z     as a fused optimizer.
2025-07-24T04:20:27.2619620Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-07-24T04:20:27.2619750Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-07-24T04:20:27.2619890Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-07-24T04:20:27.2620010Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-07-24T04:20:27.2620060Z     optimized.
2025-07-24T04:20:27.2620180Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-07-24T04:20:27.2620180Z 
2025-07-24T04:20:27.2620230Z .. warning ::
2025-07-24T04:20:27.2620360Z     _register_fused_optim should only be called once on a DDP instance,
2025-07-24T04:20:27.2620490Z     and registering multiple fused optimizers for the same DDP model
2025-07-24T04:20:27.2620560Z     is not currently supported. Please ping
2025-07-24T04:20:27.2620710Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:27.2620760Z     for your use case.
2025-07-24T04:20:27.2620760Z 
2025-07-24T04:20:27.2620810Z .. warning ::
2025-07-24T04:20:27.2620920Z     _register_fused_optim and register_comm_hook currently do not
2025-07-24T04:20:27.2621050Z     compose together, meaning that custom DDP communication hooks are
2025-07-24T04:20:27.2621160Z     not supported with overlapped optimizers. Please ping
2025-07-24T04:20:27.2621300Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:27.2621350Z     for your use case.
2025-07-24T04:20:27.2621350Z 
2025-07-24T04:20:27.2621390Z .. warning ::
2025-07-24T04:20:27.2621540Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-07-24T04:20:27.2621610Z     with overlapped optimizer. Please ping
2025-07-24T04:20:27.2621740Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:27.2621820Z     for your use case.
2025-07-24T04:20:27.2621830Z 
2025-07-24T04:20:27.2621880Z Example::
2025-07-24T04:20:27.2621880Z 
2025-07-24T04:20:27.2621960Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-07-24T04:20:27.2622140Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-07-24T04:20:27.2622260Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-07-24T04:20:27.2622320Z     >>> lr = 1e-2
2025-07-24T04:20:27.2622370Z     >>> betas = (0.9, 0.99)
2025-07-24T04:20:27.2622420Z     >>> eps = 1e-6
2025-07-24T04:20:27.2622550Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-07-24T04:20:27.2622630Z     >>> # Example with subset of parameters
2025-07-24T04:20:27.2622740Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-07-24T04:20:27.2622800Z     >>> net._register_fused_optim(
2025-07-24T04:20:27.2622940Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-07-24T04:20:27.2622990Z     ... )
2025-07-24T04:20:27.2622990Z 
2025-07-24T04:20:27.2623150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2698760Z 
2025-07-24T04:20:27.2699330Z msg = Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-07-24T04:20:27.2699600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2699700Z Register a parametrization to a tensor in a module.
2025-07-24T04:20:27.2699700Z 
2025-07-24T04:20:27.2699920Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-07-24T04:20:27.2700100Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-07-24T04:20:27.2700270Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-07-24T04:20:27.2700450Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-07-24T04:20:27.2700450Z 
2025-07-24T04:20:27.2700650Z     The first time that a module registers a parametrization, this function will add an attribute
2025-07-24T04:20:27.2700800Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-07-24T04:20:27.2700800Z 
2025-07-24T04:20:27.2700970Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-07-24T04:20:27.2701050Z     ``module.parametrizations.weight``.
2025-07-24T04:20:27.2701050Z 
2025-07-24T04:20:27.2701140Z     The original tensor will be accessible under
2025-07-24T04:20:27.2701230Z     ``module.parametrizations.weight.original``.
2025-07-24T04:20:27.2701240Z 
2025-07-24T04:20:27.2701400Z     Parametrizations may be concatenated by registering several parametrizations
2025-07-24T04:20:27.2701460Z     on the same attribute.
2025-07-24T04:20:27.2701460Z 
2025-07-24T04:20:27.2701620Z     The training mode of a registered parametrization is updated on registration
2025-07-24T04:20:27.2701700Z     to match the training mode of the host module
2025-07-24T04:20:27.2701700Z 
2025-07-24T04:20:27.2701890Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-07-24T04:20:27.2701970Z     using the context manager :func:`cached`.
2025-07-24T04:20:27.2701970Z 
2025-07-24T04:20:27.2702120Z     A :attr:`parametrization` may optionally implement a method with signature
2025-07-24T04:20:27.2702120Z 
2025-07-24T04:20:27.2702180Z     .. code-block:: python
2025-07-24T04:20:27.2702190Z 
2025-07-24T04:20:27.2702330Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-07-24T04:20:27.2702330Z 
2025-07-24T04:20:27.2702490Z     This method is called on the unparametrized tensor when the first parametrization
2025-07-24T04:20:27.2702630Z     is registered to compute the initial value of the original tensor.
2025-07-24T04:20:27.2702820Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-07-24T04:20:27.2702850Z 
2025-07-24T04:20:27.2703050Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-07-24T04:20:27.2703220Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-07-24T04:20:27.2703220Z 
2025-07-24T04:20:27.2703370Z     It is possible for the first parametrization to depend on several inputs.
2025-07-24T04:20:27.2703520Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-07-24T04:20:27.2703660Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-07-24T04:20:27.2703710Z 
2025-07-24T04:20:27.2703920Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-07-24T04:20:27.2704000Z     with names ``original0``, ``original1``,...
2025-07-24T04:20:27.2704000Z 
2025-07-24T04:20:27.2704040Z     .. note::
2025-07-24T04:20:27.2704050Z 
2025-07-24T04:20:27.2704210Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-07-24T04:20:27.2704300Z         once to perform a number of consistency checks.
2025-07-24T04:20:27.2704470Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-07-24T04:20:27.2704540Z         and nothing will be called otherwise.
2025-07-24T04:20:27.2704540Z 
2025-07-24T04:20:27.2704600Z     .. note::
2025-07-24T04:20:27.2704600Z 
2025-07-24T04:20:27.2704730Z         In most situations, ``right_inverse`` will be a function such that
2025-07-24T04:20:27.2704840Z         ``forward(right_inverse(X)) == X`` (see
2025-07-24T04:20:27.2705010Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-07-24T04:20:27.2705170Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-07-24T04:20:27.2705220Z         to relax this.
2025-07-24T04:20:27.2705220Z 
2025-07-24T04:20:27.2705260Z     .. warning::
2025-07-24T04:20:27.2705270Z 
2025-07-24T04:20:27.2705430Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-07-24T04:20:27.2705590Z         will register a number of new parameters. If such parametrization is registered
2025-07-24T04:20:27.2705750Z         after the optimizer is created, these new parameters will need to be added manually
2025-07-24T04:20:27.2705870Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-07-24T04:20:27.2705870Z 
2025-07-24T04:20:27.2705920Z     Args:
2025-07-24T04:20:27.2706050Z         module (nn.Module): module on which to register the parametrization
2025-07-24T04:20:27.2706190Z         tensor_name (str): name of the parameter or buffer on which to register
2025-07-24T04:20:27.2706240Z             the parametrization
2025-07-24T04:20:27.2706370Z         parametrization (nn.Module): the parametrization to register
2025-07-24T04:20:27.2706420Z     Keyword args:
2025-07-24T04:20:27.2706560Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-07-24T04:20:27.2706670Z             may change the dtype and shape of the tensor. Default: `False`
2025-07-24T04:20:27.2706840Z             Warning: the parametrization is not checked for consistency upon registration.
2025-07-24T04:20:27.2706910Z             Enable this flag at your own risk.
2025-07-24T04:20:27.2706910Z 
2025-07-24T04:20:27.2706960Z     Raises:
2025-07-24T04:20:27.2707130Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-07-24T04:20:27.2707140Z 
2025-07-24T04:20:27.2707190Z     Examples:
2025-07-24T04:20:27.2707280Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-07-24T04:20:27.2707330Z         >>> import torch
2025-07-24T04:20:27.2707390Z         >>> import torch.nn as nn
2025-07-24T04:20:27.2707470Z         >>> import torch.nn.utils.parametrize as P
2025-07-24T04:20:27.2707510Z         >>>
2025-07-24T04:20:27.2707600Z         >>> class Symmetric(nn.Module):
2025-07-24T04:20:27.2707670Z         >>>     def forward(self, X):
2025-07-24T04:20:27.2707780Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-07-24T04:20:27.2707820Z         >>>
2025-07-24T04:20:27.2707890Z         >>>     def right_inverse(self, A):
2025-07-24T04:20:27.2707940Z         >>>         return A.triu()
2025-07-24T04:20:27.2707980Z         >>>
2025-07-24T04:20:27.2708040Z         >>> m = nn.Linear(5, 5)
2025-07-24T04:20:27.2708150Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-07-24T04:20:27.2708300Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-07-24T04:20:27.2708370Z         True
2025-07-24T04:20:27.2708430Z         >>> A = torch.rand(5, 5)
2025-07-24T04:20:27.2708500Z         >>> A = A + A.T  # A is now symmetric
2025-07-24T04:20:27.2708620Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-07-24T04:20:27.2708700Z         >>> print(torch.allclose(m.weight, A))
2025-07-24T04:20:27.2708740Z         True
2025-07-24T04:20:27.2708750Z 
2025-07-24T04:20:27.2708810Z         >>> class RankOne(nn.Module):
2025-07-24T04:20:27.2708870Z         >>>     def forward(self, x, y):
2025-07-24T04:20:27.2708960Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-07-24T04:20:27.2709040Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-07-24T04:20:27.2709110Z         >>>
2025-07-24T04:20:27.2709180Z         >>>     def right_inverse(self, Z):
2025-07-24T04:20:27.2709260Z         >>> # Project Z onto the rank 1 matrices
2025-07-24T04:20:27.2709380Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-07-24T04:20:27.2709460Z         >>> # Return rescaled singular vectors
2025-07-24T04:20:27.2709530Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-07-24T04:20:27.2709630Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-07-24T04:20:27.2709670Z         >>>
2025-07-24T04:20:27.2709760Z         >>> linear_rank_one = P.register_parametrization(
2025-07-24T04:20:27.2709840Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-07-24T04:20:27.2709880Z         ... )
2025-07-24T04:20:27.2710010Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-07-24T04:20:27.2710050Z         1
2025-07-24T04:20:27.2710050Z 
2025-07-24T04:20:27.2710100Z     
2025-07-24T04:20:27.2710250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2710250Z 
2025-07-24T04:20:27.2710700Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-07-24T04:20:27.2710860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2710990Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-07-24T04:20:27.2711000Z 
2025-07-24T04:20:27.2711160Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-07-24T04:20:27.2711330Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-07-24T04:20:27.2711490Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-07-24T04:20:27.2711680Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-07-24T04:20:27.2711680Z 
2025-07-24T04:20:27.2711720Z     .. note::
2025-07-24T04:20:27.2711870Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-07-24T04:20:27.2712010Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-07-24T04:20:27.2712150Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-07-24T04:20:27.2712280Z         necessarily benefit from conversion to specified ``memory_format``.
2025-07-24T04:20:27.2712460Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-07-24T04:20:27.2712590Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-07-24T04:20:27.2712720Z         even in cases where we have to apply permutation to input tensors.
2025-07-24T04:20:27.2712720Z 
2025-07-24T04:20:27.2712860Z         Hence our strategy here is to convert only the weight of convolution to
2025-07-24T04:20:27.2712930Z         channels_last. This ensures that;
2025-07-24T04:20:27.2713060Z         1. Fast convolution kernels will be used, the benefit of which could
2025-07-24T04:20:27.2713210Z         outweigh overhead of permutation (if input is not in the same format).
2025-07-24T04:20:27.2713380Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-07-24T04:20:27.2713440Z         from memory_format conversion.
2025-07-24T04:20:27.2713450Z 
2025-07-24T04:20:27.2713580Z         The optimal case is that, layers between convolution layers are channels
2025-07-24T04:20:27.2713730Z         last compatible. Input tensor would be permuted to channels last when it
2025-07-24T04:20:27.2713870Z         encounters the first convolution layer and stay in that memory format.
2025-07-24T04:20:27.2714010Z         Hence following convolutions will not need to permute its input tensor.
2025-07-24T04:20:27.2714010Z 
2025-07-24T04:20:27.2714170Z         In case where a channels last incompatible layer is between convolution
2025-07-24T04:20:27.2714300Z         layers, we need to permute the input tensor back to contiguous format
2025-07-24T04:20:27.2714470Z         for that layer. The input tensor will go through the remaining layers in
2025-07-24T04:20:27.2714610Z         contiguous format and be permuted to channels last when it encounters
2025-07-24T04:20:27.2714740Z         another convolution layer. There's no point in propagating that
2025-07-24T04:20:27.2714880Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-07-24T04:20:27.2714930Z         ``memory_format``.
2025-07-24T04:20:27.2714930Z 
2025-07-24T04:20:27.2715080Z         This claim might change when PyTorch supports fusion of permutation, as
2025-07-24T04:20:27.2715210Z         there might have been a better spot to fuse the permutation other than
2025-07-24T04:20:27.2715280Z         immediately before a convolution.
2025-07-24T04:20:27.2715280Z 
2025-07-24T04:20:27.2715330Z     Args:
2025-07-24T04:20:27.2715460Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-07-24T04:20:27.2715520Z                             ``nn.Module``
2025-07-24T04:20:27.2715610Z         memory_format: user specified ``memory_format``,
2025-07-24T04:20:27.2715730Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-07-24T04:20:27.2715730Z 
2025-07-24T04:20:27.2715770Z     Returns:
2025-07-24T04:20:27.2715860Z         The original module with updated ``nn.Conv2d``
2025-07-24T04:20:27.2715860Z 
2025-07-24T04:20:27.2715910Z     Example:
2025-07-24T04:20:27.2715990Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:27.2716090Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-07-24T04:20:27.2716150Z         >>> input = torch.randint(
2025-07-24T04:20:27.2716250Z         ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-07-24T04:20:27.2716290Z         ... )
2025-07-24T04:20:27.2716350Z         >>> model = nn.Sequential(
2025-07-24T04:20:27.2716420Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-07-24T04:20:27.2716480Z         >>> # This is identical to:
2025-07-24T04:20:27.2716630Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-07-24T04:20:27.2716740Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-07-24T04:20:27.2716800Z         ...     model, torch.channels_last
2025-07-24T04:20:27.2716850Z         ... )
2025-07-24T04:20:27.2716900Z         >>> out = model(input)
2025-07-24T04:20:27.2716940Z     
2025-07-24T04:20:27.2717130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2978920Z 
2025-07-24T04:20:27.2979600Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-07-24T04:20:27.2979870Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2980030Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-07-24T04:20:27.2986090Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-07-24T04:20:27.2986280Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-07-24T04:20:27.2986580Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-07-24T04:20:27.2986770Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-07-24T04:20:27.2986780Z 
2025-07-24T04:20:27.2986830Z     .. note::
2025-07-24T04:20:27.2986990Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-07-24T04:20:27.2987140Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-07-24T04:20:27.2987270Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-07-24T04:20:27.2987470Z         necessarily benefit from conversion to specified ``memory_format``.
2025-07-24T04:20:27.2987620Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-07-24T04:20:27.2987820Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-07-24T04:20:27.2987960Z         even in cases where we have to apply permutation to input tensors.
2025-07-24T04:20:27.2987960Z 
2025-07-24T04:20:27.2988110Z         Hence our strategy here is to convert only the weight of convolution to
2025-07-24T04:20:27.2988180Z         channels_last_3d. This ensures that;
2025-07-24T04:20:27.2988320Z         1. Fast convolution kernels will be used, the benefit of which could
2025-07-24T04:20:27.2988460Z         outweigh overhead of permutation (if input is not in the same format).
2025-07-24T04:20:27.2988610Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-07-24T04:20:27.2988680Z         from memory_format conversion.
2025-07-24T04:20:27.2988680Z 
2025-07-24T04:20:27.2988820Z         The optimal case is that, layers between convolution layers are channels
2025-07-24T04:20:27.2988970Z         last compatible. Input tensor would be permuted to channels last when it
2025-07-24T04:20:27.2989110Z         encounters the first convolution layer and stay in that memory format.
2025-07-24T04:20:27.2989260Z         Hence following convolutions will not need to permute its input tensor.
2025-07-24T04:20:27.2989260Z 
2025-07-24T04:20:27.2989390Z         In case where a channels last incompatible layer is between convolution
2025-07-24T04:20:27.2989530Z         layers, we need to permute the input tensor back to contiguous format
2025-07-24T04:20:27.2989660Z         for that layer. The input tensor will go through the remaining layers in
2025-07-24T04:20:27.2989800Z         contiguous format and be permuted to channels last when it encounters
2025-07-24T04:20:27.2989930Z         another convolution layer. There's no point in propagating that
2025-07-24T04:20:27.2990070Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-07-24T04:20:27.2990120Z         ``memory_format``.
2025-07-24T04:20:27.2990120Z 
2025-07-24T04:20:27.2990270Z         This claim might change when PyTorch supports fusion of permutation, as
2025-07-24T04:20:27.2990410Z         there might have been a better spot to fuse the permutation other than
2025-07-24T04:20:27.2990480Z         immediately before a convolution.
2025-07-24T04:20:27.2990480Z 
2025-07-24T04:20:27.2990520Z     Args:
2025-07-24T04:20:27.2990720Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-07-24T04:20:27.2990780Z                             ``nn.Module``
2025-07-24T04:20:27.2990870Z         memory_format: user specified ``memory_format``,
2025-07-24T04:20:27.2990990Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-07-24T04:20:27.2990990Z 
2025-07-24T04:20:27.2991040Z     Returns:
2025-07-24T04:20:27.2991130Z         The original module with updated ``nn.Conv3d``
2025-07-24T04:20:27.2991130Z 
2025-07-24T04:20:27.2991180Z     Example:
2025-07-24T04:20:27.2991260Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:27.2991360Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-07-24T04:20:27.2991490Z         >>> input = torch.randint(
2025-07-24T04:20:27.2991600Z         ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-07-24T04:20:27.2991640Z         ... )
2025-07-24T04:20:27.2991700Z         >>> model = nn.Sequential(
2025-07-24T04:20:27.2991780Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-07-24T04:20:27.2991840Z         >>> # This is identical to:
2025-07-24T04:20:27.2991990Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-07-24T04:20:27.2992100Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-07-24T04:20:27.2992170Z         ...     model, torch.channels_last_3d
2025-07-24T04:20:27.2992230Z         ... )
2025-07-24T04:20:27.2992290Z         >>> out = model(input)
2025-07-24T04:20:27.2992340Z     
2025-07-24T04:20:27.2992530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2992530Z 
2025-07-24T04:20:27.2992920Z msg = Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-07-24T04:20:27.2993080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2993270Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-07-24T04:20:27.2993270Z 
2025-07-24T04:20:27.2993410Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-07-24T04:20:27.2993540Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-07-24T04:20:27.2993650Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-07-24T04:20:27.2993770Z     Modifies module in place (and also return the modified module)
2025-07-24T04:20:27.2993820Z     by:
2025-07-24T04:20:27.2993820Z 
2025-07-24T04:20:27.2993950Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:27.2994090Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:27.2994210Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:27.2994340Z        original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:27.2994400Z        ``name+'_orig'``.
2025-07-24T04:20:27.2994400Z 
2025-07-24T04:20:27.2994440Z     Args:
2025-07-24T04:20:27.2994550Z         module (nn.Module): module containing the tensor to prune
2025-07-24T04:20:27.2994670Z         name (str): parameter name within ``module`` on which pruning
2025-07-24T04:20:27.2994720Z                 will act.
2025-07-24T04:20:27.2994820Z         amount (int or float): quantity of parameters to prune.
2025-07-24T04:20:27.2994930Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-07-24T04:20:27.2995050Z             fraction of parameters to prune. If ``int``, it represents the
2025-07-24T04:20:27.2995140Z             absolute number of parameters to prune.
2025-07-24T04:20:27.2995260Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-07-24T04:20:27.2995360Z             entries for argument ``p`` in :func:`torch.norm`.
2025-07-24T04:20:27.2995490Z         dim (int): index of the dim along which we define channels to prune.
2025-07-24T04:20:27.2995670Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-07-24T04:20:27.2995780Z             shape as module parameter) used to compute mask for pruning.
2025-07-24T04:20:27.2995920Z             The values in this tensor indicate the importance of the corresponding
2025-07-24T04:20:27.2996000Z             elements in the parameter being pruned.
2025-07-24T04:20:27.2996150Z             If unspecified or None, the module parameter will be used in its place.
2025-07-24T04:20:27.2996150Z 
2025-07-24T04:20:27.2996190Z     Returns:
2025-07-24T04:20:27.2996330Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-07-24T04:20:27.2996370Z 
2025-07-24T04:20:27.2996410Z     Examples:
2025-07-24T04:20:27.2996490Z         >>> from torch.nn.utils import prune
2025-07-24T04:20:27.2996550Z         >>> m = prune.ln_structured(
2025-07-24T04:20:27.2996670Z         ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-07-24T04:20:27.2996710Z         ... )
2025-07-24T04:20:27.2996760Z     
2025-07-24T04:20:27.2996910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.2996910Z 
2025-07-24T04:20:27.2997390Z msg = Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-07-24T04:20:27.2997600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.2997600Z 
2025-07-24T04:20:27.2997900Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-07-24T04:20:27.2997910Z 
2025-07-24T04:20:27.2997970Z Modifies modules in place by:
2025-07-24T04:20:27.2997980Z 
2025-07-24T04:20:27.2998110Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:27.2998240Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:27.2998370Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:27.2998500Z    original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:27.2998550Z    ``name+'_orig'``.
2025-07-24T04:20:27.2998550Z 
2025-07-24T04:20:27.2998590Z Args:
2025-07-24T04:20:27.2998720Z     parameters (Iterable of (module, name) tuples): parameters of
2025-07-24T04:20:27.2998840Z         the model to prune in a global fashion, i.e. by aggregating all
2025-07-24T04:20:27.2998970Z         weights prior to deciding which ones to prune. module must be of
2025-07-24T04:20:27.2999060Z         type :class:`nn.Module`, and name must be a string.
2025-07-24T04:20:27.2999200Z     pruning_method (function): a valid pruning function from this module,
2025-07-24T04:20:27.2999310Z         or a custom one implemented by the user that satisfies the
2025-07-24T04:20:27.2999440Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-07-24T04:20:27.2999590Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-07-24T04:20:27.2999720Z         the corresponding parameter's importance scores tensor. The tensor
2025-07-24T04:20:27.2999850Z         should be the same shape as the parameter, and is used for computing
2025-07-24T04:20:27.2999910Z         mask for pruning.
2025-07-24T04:20:27.3000040Z         If unspecified or None, the parameter will be used in place of its
2025-07-24T04:20:27.3000090Z         importance scores.
2025-07-24T04:20:27.3000170Z     kwargs: other keyword arguments such as:
2025-07-24T04:20:27.3000280Z         amount (int or float): quantity of parameters to prune across the
2025-07-24T04:20:27.3000350Z         specified parameters.
2025-07-24T04:20:27.3000460Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-07-24T04:20:27.3000580Z         fraction of parameters to prune. If ``int``, it represents the
2025-07-24T04:20:27.3000660Z         absolute number of parameters to prune.
2025-07-24T04:20:27.3000700Z 
2025-07-24T04:20:27.3000750Z Raises:
2025-07-24T04:20:27.3000840Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-07-24T04:20:27.3000840Z 
2025-07-24T04:20:27.3000890Z Note:
2025-07-24T04:20:27.3001010Z     Since global structured pruning doesn't make much sense unless the
2025-07-24T04:20:27.3001140Z     norm is normalized by the size of the parameter, we now limit the
2025-07-24T04:20:27.3001230Z     scope of global pruning to unstructured methods.
2025-07-24T04:20:27.3001230Z 
2025-07-24T04:20:27.3001280Z Examples:
2025-07-24T04:20:27.3001350Z     >>> from torch.nn.utils import prune
2025-07-24T04:20:27.3001420Z     >>> from collections import OrderedDict
2025-07-24T04:20:27.3001510Z     >>> net = nn.Sequential(
2025-07-24T04:20:27.3001560Z     ...     OrderedDict(
2025-07-24T04:20:27.3001610Z     ...         [
2025-07-24T04:20:27.3001680Z     ...             ("first", nn.Linear(10, 4)),
2025-07-24T04:20:27.3001750Z     ...             ("second", nn.Linear(4, 1)),
2025-07-24T04:20:27.3001790Z     ...         ]
2025-07-24T04:20:27.3001840Z     ...     )
2025-07-24T04:20:27.3001880Z     ... )
2025-07-24T04:20:27.3001940Z     >>> parameters_to_prune = (
2025-07-24T04:20:27.3002000Z     ...     (net.first, "weight"),
2025-07-24T04:20:27.3002050Z     ...     (net.second, "weight"),
2025-07-24T04:20:27.3002100Z     ... )
2025-07-24T04:20:27.3002160Z     >>> prune.global_unstructured(
2025-07-24T04:20:27.3002250Z     ...     parameters_to_prune,
2025-07-24T04:20:27.3002330Z     ...     pruning_method=prune.L1Unstructured,
2025-07-24T04:20:27.3002380Z     ...     amount=10,
2025-07-24T04:20:27.3002460Z     ... )
2025-07-24T04:20:27.3002610Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-07-24T04:20:27.3002650Z     tensor(10)
2025-07-24T04:20:27.3002660Z 
2025-07-24T04:20:27.3002660Z 
2025-07-24T04:20:27.3002820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3318760Z 
2025-07-24T04:20:27.3319310Z msg = Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-07-24T04:20:27.3319520Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3319760Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-07-24T04:20:27.3319770Z 
2025-07-24T04:20:27.3319900Z     Modifies module in place (and also return the modified module) by:
2025-07-24T04:20:27.3319910Z 
2025-07-24T04:20:27.3320040Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:27.3320180Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:27.3320320Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:27.3320450Z        original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:27.3320510Z        ``name+'_orig'``.
2025-07-24T04:20:27.3320510Z 
2025-07-24T04:20:27.3320560Z     Args:
2025-07-24T04:20:27.3320670Z         module (nn.Module): module containing the tensor to prune
2025-07-24T04:20:27.3320790Z         name (str): parameter name within ``module`` on which pruning
2025-07-24T04:20:27.3320840Z             will act.
2025-07-24T04:20:27.3320950Z         mask (Tensor): binary mask to be applied to the parameter.
2025-07-24T04:20:27.3320950Z 
2025-07-24T04:20:27.3321000Z     Returns:
2025-07-24T04:20:27.3321140Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-07-24T04:20:27.3321140Z 
2025-07-24T04:20:27.3321190Z     Examples:
2025-07-24T04:20:27.3321270Z         >>> from torch.nn.utils import prune
2025-07-24T04:20:27.3321330Z         >>> m = prune.custom_from_mask(
2025-07-24T04:20:27.3321440Z         ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-07-24T04:20:27.3321490Z         ... )
2025-07-24T04:20:27.3321660Z         >>> print(m.bias_mask)
2025-07-24T04:20:27.3321720Z         tensor([0., 1., 0.])
2025-07-24T04:20:27.3321720Z 
2025-07-24T04:20:27.3321760Z     
2025-07-24T04:20:27.3321920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3321920Z 
2025-07-24T04:20:27.3322320Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=342.
2025-07-24T04:20:27.3322480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3322570Z Pad a packed batch of variable length sequences.
2025-07-24T04:20:27.3322580Z 
2025-07-24T04:20:27.3322720Z     It is an inverse operation to :func:`pack_padded_sequence`.
2025-07-24T04:20:27.3322730Z 
2025-07-24T04:20:27.3322900Z     The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-07-24T04:20:27.3323060Z     or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-07-24T04:20:27.3323130Z     sequence and ``B`` is the batch size.
2025-07-24T04:20:27.3323130Z 
2025-07-24T04:20:27.3323170Z     Example:
2025-07-24T04:20:27.3323320Z         >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-07-24T04:20:27.3323420Z         >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-07-24T04:20:27.3323510Z         >>> lens = [2, 1, 3]
2025-07-24T04:20:27.3323580Z         >>> packed = pack_padded_sequence(
2025-07-24T04:20:27.3323670Z         ...     seq, lens, batch_first=True, enforce_sorted=False
2025-07-24T04:20:27.3323760Z         ... )
2025-07-24T04:20:27.3323810Z         >>> packed
2025-07-24T04:20:27.3323960Z         PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-07-24T04:20:27.3324100Z                        sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-07-24T04:20:27.3324250Z         >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-07-24T04:20:27.3324310Z         >>> seq_unpacked
2025-07-24T04:20:27.3324360Z         tensor([[1, 2, 0],
2025-07-24T04:20:27.3324400Z                 [3, 0, 0],
2025-07-24T04:20:27.3324450Z                 [4, 5, 6]])
2025-07-24T04:20:27.3324500Z         >>> lens_unpacked
2025-07-24T04:20:27.3324560Z         tensor([2, 1, 3])
2025-07-24T04:20:27.3324560Z 
2025-07-24T04:20:27.3324610Z     .. note::
2025-07-24T04:20:27.3324700Z         :attr:`total_length` is useful to implement the
2025-07-24T04:20:27.3324840Z         ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-07-24T04:20:27.3324980Z         :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-07-24T04:20:27.3325120Z         See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-07-24T04:20:27.3325170Z         details.
2025-07-24T04:20:27.3325170Z 
2025-07-24T04:20:27.3325210Z     Args:
2025-07-24T04:20:27.3325290Z         sequence (PackedSequence): batch to pad
2025-07-24T04:20:27.3325440Z         batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-07-24T04:20:27.3325510Z             format, ``T x B x *`` otherwise.
2025-07-24T04:20:27.3325630Z         padding_value (float, optional): values for padded elements.
2025-07-24T04:20:27.3325770Z         total_length (int, optional): if not ``None``, the output will be padded to
2025-07-24T04:20:27.3325910Z             have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-07-24T04:20:27.3326040Z             if :attr:`total_length` is less than the max sequence length in
2025-07-24T04:20:27.3326090Z             :attr:`sequence`.
2025-07-24T04:20:27.3326090Z 
2025-07-24T04:20:27.3326140Z     Returns:
2025-07-24T04:20:27.3326260Z         Tuple of Tensor containing the padded sequence, and a Tensor
2025-07-24T04:20:27.3326380Z         containing the list of lengths of each sequence in the batch.
2025-07-24T04:20:27.3326550Z         Batch elements will be re-ordered as they were ordered originally when
2025-07-24T04:20:27.3326690Z         the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-07-24T04:20:27.3326740Z     
2025-07-24T04:20:27.3326890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3326890Z 
2025-07-24T04:20:27.3327270Z msg = Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60.
2025-07-24T04:20:27.3327420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3327420Z 
2025-07-24T04:20:27.3327620Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-07-24T04:20:27.3327660Z 
2025-07-24T04:20:27.3327830Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-07-24T04:20:27.3327980Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-07-24T04:20:27.3327980Z 
2025-07-24T04:20:27.3328170Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-07-24T04:20:27.3328330Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-07-24T04:20:27.3328440Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-07-24T04:20:27.3328460Z 
2025-07-24T04:20:27.3328510Z Shape:
2025-07-24T04:20:27.3328640Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-07-24T04:20:27.3328830Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-07-24T04:20:27.3328970Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-07-24T04:20:27.3329050Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-07-24T04:20:27.3329060Z 
2025-07-24T04:20:27.3329100Z Args:
2025-07-24T04:20:27.3329190Z     dim (Union[int, str]): Dimension to be unflattened
2025-07-24T04:20:27.3329400Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-07-24T04:20:27.3329400Z 
2025-07-24T04:20:27.3329450Z Examples:
2025-07-24T04:20:27.3329510Z     >>> input = torch.randn(2, 50)
2025-07-24T04:20:27.3329570Z     >>> # With tuple of ints
2025-07-24T04:20:27.3329620Z     >>> m = nn.Sequential(
2025-07-24T04:20:27.3329680Z     >>>     nn.Linear(50, 50),
2025-07-24T04:20:27.3329740Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-07-24T04:20:27.3329790Z     >>> )
2025-07-24T04:20:27.3329840Z     >>> output = m(input)
2025-07-24T04:20:27.3329900Z     >>> output.size()
2025-07-24T04:20:27.3329950Z     torch.Size([2, 2, 5, 5])
2025-07-24T04:20:27.3330000Z     >>> # With torch.Size
2025-07-24T04:20:27.3330050Z     >>> m = nn.Sequential(
2025-07-24T04:20:27.3330110Z     >>>     nn.Linear(50, 50),
2025-07-24T04:20:27.3330190Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-07-24T04:20:27.3330230Z     >>> )
2025-07-24T04:20:27.3330280Z     >>> output = m(input)
2025-07-24T04:20:27.3330330Z     >>> output.size()
2025-07-24T04:20:27.3330390Z     torch.Size([2, 2, 5, 5])
2025-07-24T04:20:27.3330460Z     >>> # With namedshape (tuple of tuples)
2025-07-24T04:20:27.3330550Z     >>> input = torch.randn(2, 50, names=("N", "features"))
2025-07-24T04:20:27.3330680Z     >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-07-24T04:20:27.3330740Z     >>> output = unflatten(input)
2025-07-24T04:20:27.3330790Z     >>> output.size()
2025-07-24T04:20:27.3330840Z     torch.Size([2, 2, 5, 5])
2025-07-24T04:20:27.3330850Z 
2025-07-24T04:20:27.3331000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3331000Z 
2025-07-24T04:20:27.3331400Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-07-24T04:20:27.3331590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3331700Z Applies Batch Normalization over a N-Dimensional input.
2025-07-24T04:20:27.3331700Z 
2025-07-24T04:20:27.3331910Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-07-24T04:20:27.3332050Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-07-24T04:20:27.3332190Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-07-24T04:20:27.3332200Z 
2025-07-24T04:20:27.3332240Z     .. math::
2025-07-24T04:20:27.3332240Z 
2025-07-24T04:20:27.3332380Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-07-24T04:20:27.3332420Z 
2025-07-24T04:20:27.3332550Z     The mean and standard-deviation are calculated per-dimension over all
2025-07-24T04:20:27.3332700Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-07-24T04:20:27.3332850Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-07-24T04:20:27.3332960Z     By default, the elements of :math:`\gamma` are sampled from
2025-07-24T04:20:27.3333080Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-07-24T04:20:27.3333240Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-07-24T04:20:27.3333420Z     `torch.var(input, unbiased=False)`.
2025-07-24T04:20:27.3333420Z 
2025-07-24T04:20:27.3333570Z     Also by default, during training this layer keeps running estimates of its
2025-07-24T04:20:27.3333730Z     computed mean and variance, which are then used for normalization during
2025-07-24T04:20:27.3333890Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-07-24T04:20:27.3333930Z     of 0.1.
2025-07-24T04:20:27.3333940Z 
2025-07-24T04:20:27.3334070Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-07-24T04:20:27.3334210Z     keep running estimates, and batch statistics are instead used during
2025-07-24T04:20:27.3334270Z     evaluation time as well.
2025-07-24T04:20:27.3334270Z 
2025-07-24T04:20:27.3334320Z     .. note::
2025-07-24T04:20:27.3334450Z         This :attr:`momentum` argument is different from one used in optimizer
2025-07-24T04:20:27.3334590Z         classes and the conventional notion of momentum. Mathematically, the
2025-07-24T04:20:27.3334670Z         update rule for running statistics here is
2025-07-24T04:20:27.3334840Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-07-24T04:20:27.3334970Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-07-24T04:20:27.3335030Z         new observed value.
2025-07-24T04:20:27.3335030Z 
2025-07-24T04:20:27.3335220Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-07-24T04:20:27.3335370Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-07-24T04:20:27.3335480Z     Normalization or Spatio-temporal Batch Normalization.
2025-07-24T04:20:27.3335480Z 
2025-07-24T04:20:27.3335560Z     Currently :class:`SyncBatchNorm` only supports
2025-07-24T04:20:27.3335740Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-07-24T04:20:27.3335870Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-07-24T04:20:27.3336000Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-07-24T04:20:27.3336050Z     Network with DDP.
2025-07-24T04:20:27.3336060Z 
2025-07-24T04:20:27.3336100Z     Args:
2025-07-24T04:20:27.3336200Z         num_features: :math:`C` from an expected input of size
2025-07-24T04:20:27.3336260Z             :math:`(N, C, +)`
2025-07-24T04:20:27.3336370Z         eps: a value added to the denominator for numerical stability.
2025-07-24T04:20:27.3336430Z             Default: ``1e-5``
2025-07-24T04:20:27.3336590Z         momentum: the value used for the running_mean and running_var
2025-07-24T04:20:27.3336720Z             computation. Can be set to ``None`` for cumulative moving average
2025-07-24T04:20:27.3336800Z             (i.e. simple average). Default: 0.1
2025-07-24T04:20:27.3336920Z         affine: a boolean value that when set to ``True``, this module has
2025-07-24T04:20:27.3337020Z             learnable affine parameters. Default: ``True``
2025-07-24T04:20:27.3337150Z         track_running_stats: a boolean value that when set to ``True``, this
2025-07-24T04:20:27.3337290Z             module tracks the running mean and variance, and when set to ``False``,
2025-07-24T04:20:27.3337430Z             this module does not track such statistics, and initializes statistics
2025-07-24T04:20:27.3337590Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-07-24T04:20:27.3337730Z             When these buffers are ``None``, this module always uses batch statistics.
2025-07-24T04:20:27.3337820Z             in both training and eval modes. Default: ``True``
2025-07-24T04:20:27.3337970Z         process_group: synchronization of stats happen within each process group
2025-07-24T04:20:27.3338110Z             individually. Default behavior is synchronization across the whole
2025-07-24T04:20:27.3338160Z             world
2025-07-24T04:20:27.3338160Z 
2025-07-24T04:20:27.3338210Z     Shape:
2025-07-24T04:20:27.3338290Z         - Input: :math:`(N, C, +)`
2025-07-24T04:20:27.3338380Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-07-24T04:20:27.3338380Z 
2025-07-24T04:20:27.3338430Z     .. note::
2025-07-24T04:20:27.3338620Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-07-24T04:20:27.3338750Z         synchronization is disabled when ``model.eval()`` is set or if
2025-07-24T04:20:27.3338830Z         ``self.training`` is otherwise ``False``.
2025-07-24T04:20:27.3338830Z 
2025-07-24T04:20:27.3338910Z     Examples::
2025-07-24T04:20:27.3338910Z 
2025-07-24T04:20:27.3338960Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:27.3339030Z         >>> # With Learnable Parameters
2025-07-24T04:20:27.3339090Z         >>> m = nn.SyncBatchNorm(100)
2025-07-24T04:20:27.3339170Z         >>> # creating process group (optional)
2025-07-24T04:20:27.3339250Z         >>> # ranks is a list of int identifying rank ids.
2025-07-24T04:20:27.3339310Z         >>> ranks = list(range(8))
2025-07-24T04:20:27.3339370Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-07-24T04:20:27.3339460Z         >>> # Note: every rank calls into new_group for every
2025-07-24T04:20:27.3339550Z         >>> # process group created, even if that rank is not
2025-07-24T04:20:27.3339620Z         >>> # part of the group.
2025-07-24T04:20:27.3339770Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-07-24T04:20:27.3339900Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-07-24T04:20:27.3339960Z         >>> # Without Learnable Parameters
2025-07-24T04:20:27.3340090Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-07-24T04:20:27.3340170Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-07-24T04:20:27.3340230Z         >>> output = m(input)
2025-07-24T04:20:27.3340230Z 
2025-07-24T04:20:27.3340290Z         >>> # network is nn.BatchNorm layer
2025-07-24T04:20:27.3340460Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-07-24T04:20:27.3340560Z         >>> # only single gpu per process is currently supported
2025-07-24T04:20:27.3340700Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-07-24T04:20:27.3340770Z         >>>                         sync_bn_network,
2025-07-24T04:20:27.3340850Z         >>>                         device_ids=[args.local_rank],
2025-07-24T04:20:27.3340940Z         >>>                         output_device=args.local_rank)
2025-07-24T04:20:27.3340980Z     
2025-07-24T04:20:27.3341180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3466630Z 
2025-07-24T04:20:27.3467230Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-07-24T04:20:27.3467430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3467630Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-07-24T04:20:27.3467640Z 
2025-07-24T04:20:27.3467680Z         Args:
2025-07-24T04:20:27.3467840Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-07-24T04:20:27.3468060Z             process_group (optional): process group to scope synchronization,
2025-07-24T04:20:27.3468130Z                 default is the whole world
2025-07-24T04:20:27.3468130Z 
2025-07-24T04:20:27.3468180Z         Returns:
2025-07-24T04:20:27.3468340Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-07-24T04:20:27.3468480Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-07-24T04:20:27.3468620Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-07-24T04:20:27.3468670Z             instead.
2025-07-24T04:20:27.3468670Z 
2025-07-24T04:20:27.3468760Z         Example::
2025-07-24T04:20:27.3468770Z 
2025-07-24T04:20:27.3468850Z             >>> # Network with nn.BatchNorm layer
2025-07-24T04:20:27.3468980Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:27.3469050Z             >>> module = torch.nn.Sequential(
2025-07-24T04:20:27.3469140Z             >>>            torch.nn.Linear(20, 100),
2025-07-24T04:20:27.3469210Z             >>>            torch.nn.BatchNorm1d(100),
2025-07-24T04:20:27.3469270Z             >>>          ).cuda()
2025-07-24T04:20:27.3469350Z             >>> # creating process group (optional)
2025-07-24T04:20:27.3469440Z             >>> # ranks is a list of int identifying rank ids.
2025-07-24T04:20:27.3469510Z             >>> ranks = list(range(8))
2025-07-24T04:20:27.3469580Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-07-24T04:20:27.3469680Z             >>> # Note: every rank calls into new_group for every
2025-07-24T04:20:27.3469770Z             >>> # process group created, even if that rank is not
2025-07-24T04:20:27.3469840Z             >>> # part of the group.
2025-07-24T04:20:27.3469910Z             >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.3470080Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-07-24T04:20:27.3470210Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-07-24T04:20:27.3470400Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-07-24T04:20:27.3470400Z 
2025-07-24T04:20:27.3470450Z         
2025-07-24T04:20:27.3470610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3470610Z 
2025-07-24T04:20:27.3471000Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=406.
2025-07-24T04:20:27.3471160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3471250Z Computes a partial inverse of :class:`MaxPool2d`.
2025-07-24T04:20:27.3471250Z 
2025-07-24T04:20:27.3471410Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-07-24T04:20:27.3471420Z 
2025-07-24T04:20:27.3471550Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-07-24T04:20:27.3471700Z     including the indices of the maximal values and computes a partial inverse
2025-07-24T04:20:27.3471790Z     in which all non-maximal values are set to zero.
2025-07-24T04:20:27.3471830Z 
2025-07-24T04:20:27.3471880Z     Note:
2025-07-24T04:20:27.3472080Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-07-24T04:20:27.3472300Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-07-24T04:20:27.3472310Z 
2025-07-24T04:20:27.3472450Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-07-24T04:20:27.3472560Z               sizes. Hence, the inversion process can get ambiguous.
2025-07-24T04:20:27.3472680Z               To accommodate this, you can provide the needed output size
2025-07-24T04:20:27.3472810Z               as an additional argument :attr:`output_size` in the forward call.
2025-07-24T04:20:27.3472930Z               See the Inputs and Example below.
2025-07-24T04:20:27.3472930Z 
2025-07-24T04:20:27.3472980Z     Args:
2025-07-24T04:20:27.3473090Z         kernel_size (int or tuple): Size of the max pooling window.
2025-07-24T04:20:27.3473200Z         stride (int or tuple): Stride of the max pooling window.
2025-07-24T04:20:27.3473280Z             It is set to :attr:`kernel_size` by default.
2025-07-24T04:20:27.3473400Z         padding (int or tuple): Padding that was added to the input
2025-07-24T04:20:27.3473400Z 
2025-07-24T04:20:27.3473440Z     Inputs:
2025-07-24T04:20:27.3473520Z         - `input`: the input Tensor to invert
2025-07-24T04:20:27.3473670Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-07-24T04:20:27.3473770Z         - `output_size` (optional): the targeted output size
2025-07-24T04:20:27.3473770Z 
2025-07-24T04:20:27.3473850Z     Shape:
2025-07-24T04:20:27.3473970Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-07-24T04:20:27.3474110Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-07-24T04:20:27.3474110Z 
2025-07-24T04:20:27.3474160Z           .. math::
2025-07-24T04:20:27.3474330Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-07-24T04:20:27.3474330Z 
2025-07-24T04:20:27.3474380Z           .. math::
2025-07-24T04:20:27.3474530Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-07-24T04:20:27.3474540Z 
2025-07-24T04:20:27.3474640Z           or as given by :attr:`output_size` in the call operator
2025-07-24T04:20:27.3474640Z 
2025-07-24T04:20:27.3474690Z     Example::
2025-07-24T04:20:27.3474690Z 
2025-07-24T04:20:27.3474800Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-07-24T04:20:27.3474870Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-07-24T04:20:27.3474950Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-07-24T04:20:27.3475030Z                                     [ 5.,  6.,  7.,  8.],
2025-07-24T04:20:27.3475090Z                                     [ 9., 10., 11., 12.],
2025-07-24T04:20:27.3475160Z                                     [13., 14., 15., 16.]]]])
2025-07-24T04:20:27.3475230Z         >>> output, indices = pool(input)
2025-07-24T04:20:27.3475300Z         >>> unpool(output, indices)
2025-07-24T04:20:27.3475360Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-07-24T04:20:27.3475410Z                   [  0.,   6.,   0.,   8.],
2025-07-24T04:20:27.3475460Z                   [  0.,   0.,   0.,   0.],
2025-07-24T04:20:27.3475530Z                   [  0.,  14.,   0.,  16.]]]])
2025-07-24T04:20:27.3475660Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-07-24T04:20:27.3475750Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-07-24T04:20:27.3475820Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-07-24T04:20:27.3475890Z                                     [11., 12., 13., 14., 15.],
2025-07-24T04:20:27.3475970Z                                     [16., 17., 18., 19., 20.]]]])
2025-07-24T04:20:27.3476030Z         >>> output, indices = pool(input)
2025-07-24T04:20:27.3476170Z         >>> # This call will not work without specifying output_size
2025-07-24T04:20:27.3476270Z         >>> unpool(output, indices, output_size=input.size())
2025-07-24T04:20:27.3476330Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-07-24T04:20:27.3476390Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-07-24T04:20:27.3476450Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-07-24T04:20:27.3476510Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-07-24T04:20:27.3476510Z 
2025-07-24T04:20:27.3476510Z 
2025-07-24T04:20:27.3476550Z     
2025-07-24T04:20:27.3476710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.3476710Z 
2025-07-24T04:20:27.3477180Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1718.
2025-07-24T04:20:27.3477340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.3477470Z Creates a criterion that measures the triplet loss given input
2025-07-24T04:20:27.3477580Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-07-24T04:20:27.3477720Z     positive, and negative examples, respectively), and a nonnegative,
2025-07-24T04:20:27.3477870Z     real-valued function ("distance function") used to compute the relationship
2025-07-24T04:20:27.3478040Z     between the anchor and positive example ("positive distance") and the
2025-07-24T04:20:27.3478130Z     anchor and negative example ("negative distance").
2025-07-24T04:20:27.3478140Z 
2025-07-24T04:20:27.3478300Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-07-24T04:20:27.3478360Z     can be described as:
2025-07-24T04:20:27.3478360Z 
2025-07-24T04:20:27.3478410Z     .. math::
2025-07-24T04:20:27.3478490Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-07-24T04:20:27.3478600Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-07-24T04:20:27.3478600Z 
2025-07-24T04:20:27.3478750Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-07-24T04:20:27.3478930Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-07-24T04:20:27.3479070Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-07-24T04:20:27.3479230Z     between the positive and negative distances that is required for the loss to
2025-07-24T04:20:27.3479360Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-07-24T04:20:27.3479440Z     that the distance function can handle.
2025-07-24T04:20:27.3479440Z 
2025-07-24T04:20:27.3479510Z     If :attr:`reduction` is not ``'none'``
2025-07-24T04:20:27.3479570Z     (default ``'mean'``), then:
2025-07-24T04:20:27.3479570Z 
2025-07-24T04:20:27.3479610Z     .. math::
2025-07-24T04:20:27.3479660Z         \ell(x, y) =
2025-07-24T04:20:27.3479710Z         \begin{cases}
2025-07-24T04:20:27.3479830Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-07-24T04:20:27.3479950Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-07-24T04:20:27.3479990Z         \end{cases}
2025-07-24T04:20:27.3480000Z 
2025-07-24T04:20:27.3480140Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-07-24T04:20:27.3480290Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-07-24T04:20:27.3480300Z 
2025-07-24T04:20:27.3480350Z     Args:
2025-07-24T04:20:27.3480510Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-07-24T04:20:27.3480630Z             quantifies the closeness of two tensors. If not specified,
2025-07-24T04:20:27.3480740Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-07-24T04:20:27.3480910Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-07-24T04:20:27.3481120Z             between the positive and negative distances required for the loss to be 0. Larger
2025-07-24T04:20:27.3481290Z             margins penalize cases where the negative examples are not distant enough from the
2025-07-24T04:20:27.3481400Z             anchors, relative to the positives. Default: :math:`1`.
2025-07-24T04:20:27.3481550Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-07-24T04:20:27.3481710Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-07-24T04:20:27.3481860Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-07-24T04:20:27.3482020Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-07-24T04:20:27.3482140Z             the loss computation. Default: ``False``.
2025-07-24T04:20:27.3482320Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-07-24T04:20:27.3482430Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-07-24T04:20:27.3482550Z             ``'mean'``: the sum of the output will be divided by the number of
2025-07-24T04:20:27.3482700Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-07-24T04:20:27.3482700Z 
2025-07-24T04:20:27.3482700Z 
2025-07-24T04:20:27.3482740Z     Shape:
2025-07-24T04:20:27.3482920Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-07-24T04:20:27.3483000Z           as supported by the distance function.
2025-07-24T04:20:27.3483190Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-07-24T04:20:27.3483250Z           otherwise.
2025-07-24T04:20:27.3483250Z 
2025-07-24T04:20:27.3483300Z     Examples:
2025-07-24T04:20:27.3483300Z 
2025-07-24T04:20:27.3483360Z     >>> # Initialize embeddings
2025-07-24T04:20:27.3483420Z     >>> embedding = nn.Embedding(1000, 128)
2025-07-24T04:20:27.3483500Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:27.3483580Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:27.3483650Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:27.3483720Z     >>> anchor = embedding(anchor_ids)
2025-07-24T04:20:27.3483790Z     >>> positive = embedding(positive_ids)
2025-07-24T04:20:27.3483850Z     >>> negative = embedding(negative_ids)
2025-07-24T04:20:27.3483900Z     >>>
2025-07-24T04:20:27.3483960Z     >>> # Built-in Distance Function
2025-07-24T04:20:27.3484010Z     >>> triplet_loss = \
2025-07-24T04:20:27.3484180Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-07-24T04:20:27.3484320Z     >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:27.3489530Z     >>> output.backward()
2025-07-24T04:20:27.3489590Z     >>>
2025-07-24T04:20:27.3489660Z     >>> # Custom Distance Function
2025-07-24T04:20:27.3489720Z     >>> def l_infinity(x1, x2):
2025-07-24T04:20:27.3489820Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-07-24T04:20:27.3489860Z     >>>
2025-07-24T04:20:27.3489980Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-07-24T04:20:27.3490030Z     >>> triplet_loss = (
2025-07-24T04:20:27.3490200Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-07-24T04:20:27.3490300Z     >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:27.3490350Z     >>> output.backward()
2025-07-24T04:20:27.3490400Z     >>>
2025-07-24T04:20:27.3490460Z     >>> # Custom Distance Function (Lambda)
2025-07-24T04:20:27.3490510Z     >>> triplet_loss = (
2025-07-24T04:20:27.3490590Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-07-24T04:20:27.3490730Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-07-24T04:20:27.3490820Z     >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:27.3490940Z     >>> output.backward()
2025-07-24T04:20:27.3490950Z 
2025-07-24T04:20:27.3491000Z     Reference:
2025-07-24T04:20:27.3491190Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-07-24T04:20:27.3491320Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-07-24T04:20:27.3491370Z     
2025-07-24T04:20:27.3491520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-07-24T04:20:27.4271440Z 
2025-07-24T04:20:27.4272020Z msg = Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1852.
2025-07-24T04:20:27.4272790Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4273120Z The Connectionist Temporal Classification loss.
2025-07-24T04:20:27.4273330Z 
2025-07-24T04:20:27.4273560Z     Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-07-24T04:20:27.4274090Z     probability of possible alignments of input to target, producing a loss value which is differentiable
2025-07-24T04:20:27.4274590Z     with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-07-24T04:20:27.4275130Z     limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-07-24T04:20:27.4275380Z 
2025-07-24T04:20:27.4275430Z     Args:
2025-07-24T04:20:27.4275600Z         blank (int, optional): blank label. Default :math:`0`.
2025-07-24T04:20:27.4276000Z         reduction (str, optional): Specifies the reduction to apply to the output:
2025-07-24T04:20:27.4276340Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-07-24T04:20:27.4276660Z             ``'mean'``: the output losses will be divided by the target lengths and
2025-07-24T04:20:27.4277010Z             then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-07-24T04:20:27.4277290Z             Default: ``'mean'``
2025-07-24T04:20:27.4277470Z         zero_infinity (bool, optional):
2025-07-24T04:20:27.4277720Z             Whether to zero infinite losses and the associated gradients.
2025-07-24T04:20:27.4277960Z             Default: ``False``
2025-07-24T04:20:27.4278190Z             Infinite losses mainly occur when the inputs are too short
2025-07-24T04:20:27.4278430Z             to be aligned to the targets.
2025-07-24T04:20:27.4278560Z 
2025-07-24T04:20:27.4278610Z     Shape:
2025-07-24T04:20:27.4278800Z         - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-07-24T04:20:27.4279060Z           where :math:`T = \text{input length}`,
2025-07-24T04:20:27.4279270Z           :math:`N = \text{batch size}`, and
2025-07-24T04:20:27.4279500Z           :math:`C = \text{number of classes (including blank)}`.
2025-07-24T04:20:27.4279810Z           The logarithmized probabilities of the outputs (e.g. obtained with
2025-07-24T04:20:27.4280100Z           :func:`torch.nn.functional.log_softmax`).
2025-07-24T04:20:27.4280330Z         - Targets: Tensor of size :math:`(N, S)` or
2025-07-24T04:20:27.4280570Z           :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-07-24T04:20:27.4280820Z           where :math:`N = \text{batch size}` and
2025-07-24T04:20:27.4281060Z           :math:`S = \text{max target length, if shape is } (N, S)`.
2025-07-24T04:20:27.4281350Z           It represents the target sequences. Each element in the target
2025-07-24T04:20:27.4281680Z           sequence is a class index. And the target index cannot be blank (default=0).
2025-07-24T04:20:27.4281990Z           In the :math:`(N, S)` form, targets are padded to the
2025-07-24T04:20:27.4282240Z           length of the longest sequence, and stacked.
2025-07-24T04:20:27.4282500Z           In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-07-24T04:20:27.4282770Z           the targets are assumed to be un-padded and
2025-07-24T04:20:27.4283080Z           concatenated within 1 dimension.
2025-07-24T04:20:27.4283340Z         - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-07-24T04:20:27.4283660Z           where :math:`N = \text{batch size}`. It represents the lengths of the
2025-07-24T04:20:27.4283980Z           inputs (must each be :math:`\leq T`). And the lengths are specified
2025-07-24T04:20:27.4284320Z           for each sequence to achieve masking under the assumption that sequences
2025-07-24T04:20:27.4284580Z           are padded to equal lengths.
2025-07-24T04:20:27.4284850Z         - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-07-24T04:20:27.4285170Z           where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-07-24T04:20:27.4285570Z           Lengths are specified for each sequence to achieve masking under the
2025-07-24T04:20:27.4285920Z           assumption that sequences are padded to equal lengths. If target shape is
2025-07-24T04:20:27.4286250Z           :math:`(N,S)`, target_lengths are effectively the stop index
2025-07-24T04:20:27.4286580Z           :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-07-24T04:20:27.4286910Z           each target in a batch. Lengths must each be :math:`\leq S`
2025-07-24T04:20:27.4287240Z           If the targets are given as a 1d tensor that is the concatenation of individual
2025-07-24T04:20:27.4287630Z           targets, the target_lengths must add up to the total length of the tensor.
2025-07-24T04:20:27.4288000Z         - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-07-24T04:20:27.4288340Z           ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-07-24T04:20:27.4288680Z           :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-07-24T04:20:27.4288870Z 
2025-07-24T04:20:27.4288910Z     Examples:
2025-07-24T04:20:27.4288990Z 
2025-07-24T04:20:27.4289060Z         >>> # Target are to be padded
2025-07-24T04:20:27.4289260Z         >>> T = 50  # Input sequence length
2025-07-24T04:20:27.4289470Z         >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:27.4289680Z         >>> N = 16  # Batch size
2025-07-24T04:20:27.4289930Z         >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-07-24T04:20:27.4290250Z         >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-07-24T04:20:27.4290480Z         >>>
2025-07-24T04:20:27.4290670Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-07-24T04:20:27.4291000Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-07-24T04:20:27.4291240Z         >>>
2025-07-24T04:20:27.4291430Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:27.4291750Z         >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-07-24T04:20:27.4291990Z         >>>
2025-07-24T04:20:27.4292200Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-07-24T04:20:27.4292460Z         >>> target_lengths = torch.randint(
2025-07-24T04:20:27.4292650Z         ...     low=S_min,
2025-07-24T04:20:27.4292800Z         ...     high=S,
2025-07-24T04:20:27.4292940Z         ...     size=(N,),
2025-07-24T04:20:27.4293100Z         ...     dtype=torch.long,
2025-07-24T04:20:27.4293260Z         ... )
2025-07-24T04:20:27.4293390Z         >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:27.4293630Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:27.4293860Z         >>> loss.backward()
2025-07-24T04:20:27.4294010Z         >>>
2025-07-24T04:20:27.4294120Z         >>>
2025-07-24T04:20:27.4294250Z         >>> # Target are to be un-padded
2025-07-24T04:20:27.4294440Z         >>> T = 50  # Input sequence length
2025-07-24T04:20:27.4294660Z         >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:27.4294900Z         >>> N = 16  # Batch size
2025-07-24T04:20:27.4295050Z         >>>
2025-07-24T04:20:27.4295250Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-07-24T04:20:27.4295570Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-07-24T04:20:27.4295900Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-07-24T04:20:27.4296150Z         >>>
2025-07-24T04:20:27.4296340Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:27.4296680Z         >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-07-24T04:20:27.4296950Z         >>> target = torch.randint(
2025-07-24T04:20:27.4297160Z         ...     low=1,
2025-07-24T04:20:27.4297310Z         ...     high=C,
2025-07-24T04:20:27.4297460Z         ...     size=(sum(target_lengths),),
2025-07-24T04:20:27.4297650Z         ...     dtype=torch.long,
2025-07-24T04:20:27.4297810Z         ... )
2025-07-24T04:20:27.4297950Z         >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:27.4298180Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:27.4298420Z         >>> loss.backward()
2025-07-24T04:20:27.4298560Z         >>>
2025-07-24T04:20:27.4298680Z         >>>
2025-07-24T04:20:27.4298850Z         >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-07-24T04:20:27.4299130Z         >>> T = 50  # Input sequence length
2025-07-24T04:20:27.4299350Z         >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:27.4299550Z         >>>
2025-07-24T04:20:27.4299760Z         >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-07-24T04:20:27.4300040Z         >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-07-24T04:20:27.4300320Z         >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-07-24T04:20:27.4300610Z         >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-07-24T04:20:27.4300820Z         >>>
2025-07-24T04:20:27.4301010Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:27.4301340Z         >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-07-24T04:20:27.4301610Z         >>> target = torch.randint(
2025-07-24T04:20:27.4301780Z         ...     low=1,
2025-07-24T04:20:27.4301910Z         ...     high=C,
2025-07-24T04:20:27.4302060Z         ...     size=(target_lengths,),
2025-07-24T04:20:27.4302250Z         ...     dtype=torch.long,
2025-07-24T04:20:27.4302410Z         ... )
2025-07-24T04:20:27.4302540Z         >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:27.4302780Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:27.4303020Z         >>> loss.backward()
2025-07-24T04:20:27.4303120Z 
2025-07-24T04:20:27.4303170Z     Reference:
2025-07-24T04:20:27.4303360Z         A. Graves et al.: Connectionist Temporal Classification:
2025-07-24T04:20:27.4303660Z         Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-07-24T04:20:27.4303980Z         https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-07-24T04:20:27.4304150Z 
2025-07-24T04:20:27.4304190Z     Note:
2025-07-24T04:20:27.4304410Z         In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-07-24T04:20:27.4304780Z         in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-07-24T04:20:27.4305140Z         :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-07-24T04:20:27.4305410Z         dtype :attr:`torch.int32`.
2025-07-24T04:20:27.4305540Z 
2025-07-24T04:20:27.4305710Z         The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-07-24T04:20:27.4305940Z 
2025-07-24T04:20:27.4305940Z 
2025-07-24T04:20:27.4305990Z     Note:
2025-07-24T04:20:27.4306200Z         In some circumstances when using the CUDA backend with CuDNN, this operator
2025-07-24T04:20:27.4306630Z         may select a nondeterministic algorithm to increase performance. If this is
2025-07-24T04:20:27.4307000Z         undesirable, you can try to make the operation deterministic (potentially at
2025-07-24T04:20:27.4307370Z         a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-07-24T04:20:27.4307620Z         True``.
2025-07-24T04:20:27.4307830Z         Please see the notes on :doc:`/notes/randomness` for background.
2025-07-24T04:20:27.4308060Z     
2025-07-24T04:20:27.4308280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4308500Z 
2025-07-24T04:20:27.4308920Z msg = Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-07-24T04:20:27.4309600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4309910Z Take in and process masked source/target sequences.
2025-07-24T04:20:27.4310070Z 
2025-07-24T04:20:27.4310140Z         .. note::
2025-07-24T04:20:27.4310220Z 
2025-07-24T04:20:27.4310460Z             If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-07-24T04:20:27.4310850Z             not allowed to participate in the attention,
2025-07-24T04:20:27.4311120Z             which is the opposite of the definition for :attr:`attn_mask`
2025-07-24T04:20:27.4311450Z             in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-07-24T04:20:27.4311630Z 
2025-07-24T04:20:27.4311670Z         Args:
2025-07-24T04:20:27.4311880Z             src: the sequence to the encoder (required).
2025-07-24T04:20:27.4312120Z             tgt: the sequence to the decoder (required).
2025-07-24T04:20:27.4312380Z             src_mask: the additive mask for the src sequence (optional).
2025-07-24T04:20:27.4312680Z             tgt_mask: the additive mask for the tgt sequence (optional).
2025-07-24T04:20:27.4312990Z             memory_mask: the additive mask for the encoder output (optional).
2025-07-24T04:20:27.4313320Z             src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-07-24T04:20:27.4313660Z             tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-07-24T04:20:27.4314020Z             memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-07-24T04:20:27.4314380Z             src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-07-24T04:20:27.4314670Z                 Default: ``None``; try to detect a causal mask.
2025-07-24T04:20:27.4314890Z                 Warning:
2025-07-24T04:20:27.4315080Z                 ``src_is_causal`` provides a hint that ``src_mask`` is
2025-07-24T04:20:27.4315360Z                 the causal mask. Providing incorrect hints can result in
2025-07-24T04:20:27.4315650Z                 incorrect execution, including forward and backward
2025-07-24T04:20:27.4315880Z                 compatibility.
2025-07-24T04:20:27.4316120Z             tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-07-24T04:20:27.4316410Z                 Default: ``None``; try to detect a causal mask.
2025-07-24T04:20:27.4316620Z                 Warning:
2025-07-24T04:20:27.4316830Z                 ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-07-24T04:20:27.4317110Z                 the causal mask. Providing incorrect hints can result in
2025-07-24T04:20:27.4317390Z                 incorrect execution, including forward and backward
2025-07-24T04:20:27.4317610Z                 compatibility.
2025-07-24T04:20:27.4317830Z             memory_is_causal: If specified, applies a causal mask as
2025-07-24T04:20:27.4318070Z                 ``memory_mask``.
2025-07-24T04:20:27.4318240Z                 Default: ``False``.
2025-07-24T04:20:27.4318400Z                 Warning:
2025-07-24T04:20:27.4318580Z                 ``memory_is_causal`` provides a hint that
2025-07-24T04:20:27.4318880Z                 ``memory_mask`` is the causal mask. Providing incorrect
2025-07-24T04:20:27.4319150Z                 hints can result in incorrect execution, including
2025-07-24T04:20:27.4319400Z                 forward and backward compatibility.
2025-07-24T04:20:27.4319540Z 
2025-07-24T04:20:27.4319590Z         Shape:
2025-07-24T04:20:27.4319830Z             - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-07-24T04:20:27.4320120Z               `(N, S, E)` if `batch_first=True`.
2025-07-24T04:20:27.4320400Z             - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-07-24T04:20:27.4320690Z               `(N, T, E)` if `batch_first=True`.
2025-07-24T04:20:27.4320970Z             - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-07-24T04:20:27.4321280Z             - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-07-24T04:20:27.4321530Z             - memory_mask: :math:`(T, S)`.
2025-07-24T04:20:27.4321810Z             - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-07-24T04:20:27.4322180Z             - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-07-24T04:20:27.4322550Z             - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-07-24T04:20:27.4322770Z 
2025-07-24T04:20:27.4322990Z             Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-07-24T04:20:27.4323410Z             positions. If a BoolTensor is provided, positions with ``True``
2025-07-24T04:20:27.4323770Z             are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-07-24T04:20:27.4324110Z             is provided, it will be added to the attention weight.
2025-07-24T04:20:27.4324460Z             [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-07-24T04:20:27.4324850Z             the attention. If a BoolTensor is provided, the positions with the
2025-07-24T04:20:27.4325240Z             value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-07-24T04:20:27.4325490Z 
2025-07-24T04:20:27.4325660Z             - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-07-24T04:20:27.4325960Z               `(N, T, E)` if `batch_first=True`.
2025-07-24T04:20:27.4326100Z 
2025-07-24T04:20:27.4326250Z             Note: Due to the multi-head attention architecture in the transformer model,
2025-07-24T04:20:27.4326620Z             the output sequence length of a transformer is same as the input sequence
2025-07-24T04:20:27.4326910Z             (i.e. target) length of the decoder.
2025-07-24T04:20:27.4327060Z 
2025-07-24T04:20:27.4327250Z             where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-07-24T04:20:27.4327600Z             batch size, :math:`E` is the feature number
2025-07-24T04:20:27.4327750Z 
2025-07-24T04:20:27.4327790Z         Examples:
2025-07-24T04:20:27.4327940Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:27.4328130Z             >>> output = transformer_model(
2025-07-24T04:20:27.4328350Z             ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-07-24T04:20:27.4328560Z             ... )
2025-07-24T04:20:27.4328680Z         
2025-07-24T04:20:27.4328900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4337010Z 
2025-07-24T04:20:27.4337530Z msg = Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-07-24T04:20:27.4338200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4338630Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-07-24T04:20:27.4338970Z 
2025-07-24T04:20:27.4339180Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-07-24T04:20:27.4339500Z     and with 2D inputs, this class
2025-07-24T04:20:27.4339630Z 
2025-07-24T04:20:27.4339830Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-07-24T04:20:27.4340290Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-07-24T04:20:27.4340750Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-07-24T04:20:27.4340990Z 
2025-07-24T04:20:27.4341270Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-07-24T04:20:27.4341600Z     operations.
2025-07-24T04:20:27.4341680Z 
2025-07-24T04:20:27.4341840Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-07-24T04:20:27.4342210Z     pass. This scales the output of the Embedding before performing a weighted
2025-07-24T04:20:27.4342570Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-07-24T04:20:27.4342940Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-07-24T04:20:27.4343210Z     :attr:`per_sample_weights`.
2025-07-24T04:20:27.4343330Z 
2025-07-24T04:20:27.4343400Z     Args:
2025-07-24T04:20:27.4343590Z         num_embeddings (int): size of the dictionary of embeddings
2025-07-24T04:20:27.4343900Z         embedding_dim (int): the size of each embedding vector
2025-07-24T04:20:27.4344270Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-07-24T04:20:27.4344630Z                                     is renormalized to have norm :attr:`max_norm`.
2025-07-24T04:20:27.4345010Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-07-24T04:20:27.4345490Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-07-24T04:20:27.4345860Z                                                 the words in the mini-batch. Default ``False``.
2025-07-24T04:20:27.4346150Z                                                 Note: this option is not supported when ``mode="max"``.
2025-07-24T04:20:27.4352230Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-07-24T04:20:27.4352600Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-07-24T04:20:27.4352950Z                                  into consideration. ``"mean"`` computes the average of the values
2025-07-24T04:20:27.4353270Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-07-24T04:20:27.4353510Z                                  Default: ``"mean"``
2025-07-24T04:20:27.4353850Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-07-24T04:20:27.4354260Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-07-24T04:20:27.4354580Z                                  supported when ``mode="max"``.
2025-07-24T04:20:27.4354950Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-07-24T04:20:27.4355380Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-07-24T04:20:27.4355790Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-07-24T04:20:27.4356230Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-07-24T04:20:27.4356610Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-07-24T04:20:27.4357050Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-07-24T04:20:27.4357450Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-07-24T04:20:27.4357820Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-07-24T04:20:27.4358100Z                                      reduction.
2025-07-24T04:20:27.4358240Z 
2025-07-24T04:20:27.4358290Z     Attributes:
2025-07-24T04:20:27.4358570Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-07-24T04:20:27.4358970Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-07-24T04:20:27.4359130Z 
2025-07-24T04:20:27.4359180Z     Examples::
2025-07-24T04:20:27.4359270Z 
2025-07-24T04:20:27.4359370Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-07-24T04:20:27.4359650Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-07-24T04:20:27.4359890Z         >>> # a batch of 2 samples of 4 indices each
2025-07-24T04:20:27.4360150Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-07-24T04:20:27.4360430Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-07-24T04:20:27.4360710Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:27.4360930Z         >>> embedding_sum(input, offsets)
2025-07-24T04:20:27.4361150Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-07-24T04:20:27.4361350Z                 [ 1.1306, -2.5798, -1.0044]])
2025-07-24T04:20:27.4361480Z 
2025-07-24T04:20:27.4361540Z         >>> # Example with padding_idx
2025-07-24T04:20:27.4361790Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-07-24T04:20:27.4362100Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-07-24T04:20:27.4362380Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-07-24T04:20:27.4362600Z         >>> embedding_sum(input, offsets)
2025-07-24T04:20:27.4362790Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-07-24T04:20:27.4362970Z                 [-0.7082,  3.2145, -2.6251]])
2025-07-24T04:20:27.4363100Z 
2025-07-24T04:20:27.4363210Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-07-24T04:20:27.4363480Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-07-24T04:20:27.4363730Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-07-24T04:20:27.4363950Z                 embedding.weight,
2025-07-24T04:20:27.4364140Z                 padding_idx=embedding.padding_idx,
2025-07-24T04:20:27.4364340Z                 mode='sum')
2025-07-24T04:20:27.4364480Z     
2025-07-24T04:20:27.4364700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4364910Z 
2025-07-24T04:20:27.4365340Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2706.
2025-07-24T04:20:27.4365980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4366200Z 
2025-07-24T04:20:27.4366350Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-07-24T04:20:27.4366570Z 
2025-07-24T04:20:27.4366720Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-07-24T04:20:27.4367050Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-07-24T04:20:27.4367240Z 
2025-07-24T04:20:27.4367280Z Args:
2025-07-24T04:20:27.4367490Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-07-24T04:20:27.4367830Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-07-24T04:20:27.4368160Z         matters and it needs to match with corresponding isend/irecv on the
2025-07-24T04:20:27.4368460Z         remote end.
2025-07-24T04:20:27.4368550Z 
2025-07-24T04:20:27.4368590Z Returns:
2025-07-24T04:20:27.4368810Z     A list of distributed request objects returned by calling the corresponding
2025-07-24T04:20:27.4369070Z     op in the op_list.
2025-07-24T04:20:27.4369170Z 
2025-07-24T04:20:27.4369210Z Examples:
2025-07-24T04:20:27.4369340Z     >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:27.4369580Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-07-24T04:20:27.4369860Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-07-24T04:20:27.4370150Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-07-24T04:20:27.4370440Z     >>> recv_op = dist.P2POp(
2025-07-24T04:20:27.4370670Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-07-24T04:20:27.4370890Z     ... )
2025-07-24T04:20:27.4371040Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-07-24T04:20:27.4371250Z     >>> for req in reqs:
2025-07-24T04:20:27.4371390Z     >>>     req.wait()
2025-07-24T04:20:27.4371530Z     >>> recv_tensor
2025-07-24T04:20:27.4371660Z     tensor([2, 3])     # Rank 0
2025-07-24T04:20:27.4371830Z     tensor([0, 1])     # Rank 1
2025-07-24T04:20:27.4371930Z 
2025-07-24T04:20:27.4372080Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-07-24T04:20:27.4372450Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-07-24T04:20:27.4372710Z     lead to unexpected hang issues.
2025-07-24T04:20:27.4372840Z 
2025-07-24T04:20:27.4373010Z     In addition, if this API is the first collective call in the ``group``
2025-07-24T04:20:27.4373340Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-07-24T04:20:27.4373680Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-07-24T04:20:27.4374020Z     not the first collective call in the ``group``, batched P2P operations
2025-07-24T04:20:27.4374340Z     involving only a subset of ranks of the ``group`` are allowed.
2025-07-24T04:20:27.4374520Z 
2025-07-24T04:20:27.4374670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4374890Z 
2025-07-24T04:20:27.4375290Z msg = Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2838.
2025-07-24T04:20:27.4375910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4376130Z 
2025-07-24T04:20:27.4376300Z Reduces the tensor data across all machines in a way that all get the final result.
2025-07-24T04:20:27.4376530Z 
2025-07-24T04:20:27.4376670Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-07-24T04:20:27.4376870Z 
2025-07-24T04:20:27.4376940Z Complex tensors are supported.
2025-07-24T04:20:27.4377050Z 
2025-07-24T04:20:27.4377100Z Args:
2025-07-24T04:20:27.4377290Z     tensor (Tensor): Input and output of the collective. The function
2025-07-24T04:20:27.4377540Z         operates in-place.
2025-07-24T04:20:27.4377710Z     op (optional): One of the values from
2025-07-24T04:20:27.4377910Z         ``torch.distributed.ReduceOp``
2025-07-24T04:20:27.4378160Z         enum.  Specifies an operation used for element-wise reductions.
2025-07-24T04:20:27.4378490Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.4378770Z         the default process group will be used.
2025-07-24T04:20:27.4379040Z     async_op (bool, optional): Whether this op should be an async op
2025-07-24T04:20:27.4379220Z 
2025-07-24T04:20:27.4379270Z Returns:
2025-07-24T04:20:27.4379420Z     Async work handle, if async_op is set to True.
2025-07-24T04:20:27.4379660Z     None, if not async_op or if not part of the group
2025-07-24T04:20:27.4379810Z 
2025-07-24T04:20:27.4379860Z Examples:
2025-07-24T04:20:27.4380020Z     >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:27.4380230Z     >>> # All tensors below are of torch.int64 type.
2025-07-24T04:20:27.4380440Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.4380650Z     >>> device = torch.device(f"cuda:{rank}")
2025-07-24T04:20:27.4380920Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-07-24T04:20:27.4381180Z     >>> tensor
2025-07-24T04:20:27.4381320Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4381520Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4381720Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-07-24T04:20:27.4381910Z     >>> tensor
2025-07-24T04:20:27.4382050Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4382280Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4382410Z 
2025-07-24T04:20:27.4382490Z     >>> # All tensors below are of torch.cfloat type.
2025-07-24T04:20:27.4382710Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.4382900Z     >>> tensor = torch.tensor(
2025-07-24T04:20:27.4383100Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-07-24T04:20:27.4383320Z     ... ) + 2 * rank * (1 + 1j)
2025-07-24T04:20:27.4383470Z     >>> tensor
2025-07-24T04:20:27.4383630Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4383860Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4384100Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-07-24T04:20:27.4384290Z     >>> tensor
2025-07-24T04:20:27.4384450Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4384710Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4384860Z 
2025-07-24T04:20:27.4384860Z 
2025-07-24T04:20:27.4385020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4448050Z 
2025-07-24T04:20:27.4448620Z msg = Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3198.
2025-07-24T04:20:27.4449310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4449540Z 
2025-07-24T04:20:27.4449680Z Gathers picklable objects from the whole group in a single process.
2025-07-24T04:20:27.4449890Z 
2025-07-24T04:20:27.4450040Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-07-24T04:20:27.4450350Z object must be picklable in order to be gathered.
2025-07-24T04:20:27.4450500Z 
2025-07-24T04:20:27.4450540Z Args:
2025-07-24T04:20:27.4450690Z     obj (Any): Input object. Must be picklable.
2025-07-24T04:20:27.4450960Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-07-24T04:20:27.4451270Z         should be correctly sized as the size of the group for this
2025-07-24T04:20:27.4451580Z         collective and will contain the output. Must be ``None`` on non-dst
2025-07-24T04:20:27.4451840Z         ranks. (default is ``None``)
2025-07-24T04:20:27.4452160Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-07-24T04:20:27.4452540Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-07-24T04:20:27.4452870Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.4453200Z         the default process group will be used. Default is ``None``.
2025-07-24T04:20:27.4453580Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-07-24T04:20:27.4453860Z 
2025-07-24T04:20:27.4453900Z Returns:
2025-07-24T04:20:27.4454080Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-07-24T04:20:27.4454320Z     output of the collective.
2025-07-24T04:20:27.4454430Z 
2025-07-24T04:20:27.4454570Z .. note:: Note that this API differs slightly from the gather collective
2025-07-24T04:20:27.4455000Z     since it does not provide an async_op handle and thus will be a blocking
2025-07-24T04:20:27.4455240Z     call.
2025-07-24T04:20:27.4455310Z 
2025-07-24T04:20:27.4455450Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-07-24T04:20:27.4455780Z     of objects must be moved to the GPU device before communication takes
2025-07-24T04:20:27.4456060Z     place. In this case, the device used is given by
2025-07-24T04:20:27.4456350Z     ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-07-24T04:20:27.4456680Z     ensure that this is set so that each rank has an individual GPU, via
2025-07-24T04:20:27.4456930Z     ``torch.cuda.set_device()``.
2025-07-24T04:20:27.4457050Z 
2025-07-24T04:20:27.4457150Z .. warning::
2025-07-24T04:20:27.4457370Z     Object collectives have a number of serious performance and scalability
2025-07-24T04:20:27.4457690Z     limitations.  See :ref:`object_collectives` for details.
2025-07-24T04:20:27.4457870Z 
2025-07-24T04:20:27.4457910Z .. warning::
2025-07-24T04:20:27.4458110Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-07-24T04:20:27.4458430Z     known to be insecure. It is possible to construct malicious pickle data
2025-07-24T04:20:27.4458760Z     which will execute arbitrary code during unpickling. Only call this
2025-07-24T04:20:27.4459020Z     function with data you trust.
2025-07-24T04:20:27.4459150Z 
2025-07-24T04:20:27.4459190Z .. warning::
2025-07-24T04:20:27.4459420Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-07-24T04:20:27.4459880Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-07-24T04:20:27.4460200Z     pickled. Please consider using :func:`gather` instead.
2025-07-24T04:20:27.4460380Z 
2025-07-24T04:20:27.4460430Z Example::
2025-07-24T04:20:27.4460590Z     >>> # xdoctest: +SKIP("need process group init")
2025-07-24T04:20:27.4460860Z     >>> # Note: Process group initialization omitted on each rank.
2025-07-24T04:20:27.4461110Z     >>> import torch.distributed as dist
2025-07-24T04:20:27.4461310Z     >>> # Assumes world_size of 3.
2025-07-24T04:20:27.4461550Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-07-24T04:20:27.4461810Z     >>> output = [None for _ in gather_objects]
2025-07-24T04:20:27.4462010Z     >>> dist.gather_object(
2025-07-24T04:20:27.4462190Z     ...     gather_objects[dist.get_rank()],
2025-07-24T04:20:27.4462420Z     ...     output if dist.get_rank() == 0 else None,
2025-07-24T04:20:27.4462620Z     ...     dst=0
2025-07-24T04:20:27.4462750Z     ... )
2025-07-24T04:20:27.4462860Z     >>> # On rank 0
2025-07-24T04:20:27.4462990Z     >>> output
2025-07-24T04:20:27.4463120Z     ['foo', 12, {1: 2}]
2025-07-24T04:20:27.4463220Z 
2025-07-24T04:20:27.4463370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4463600Z 
2025-07-24T04:20:27.4464020Z msg = Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3794.
2025-07-24T04:20:27.4464660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4464890Z 
2025-07-24T04:20:27.4464980Z Gathers tensors from the whole group in a list.
2025-07-24T04:20:27.4465140Z 
2025-07-24T04:20:27.4465220Z Complex and uneven sized tensors are supported.
2025-07-24T04:20:27.4465380Z 
2025-07-24T04:20:27.4465430Z Args:
2025-07-24T04:20:27.4465610Z     tensor_list (list[Tensor]): Output list. It should contain
2025-07-24T04:20:27.4465930Z         correctly-sized tensors to be used for output of the collective.
2025-07-24T04:20:27.4466210Z         Uneven sized tensors are supported.
2025-07-24T04:20:27.4466470Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-07-24T04:20:27.4466810Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.4467100Z         the default process group will be used.
2025-07-24T04:20:27.4467410Z     async_op (bool, optional): Whether this op should be an async op
2025-07-24T04:20:27.4467610Z 
2025-07-24T04:20:27.4467650Z Returns:
2025-07-24T04:20:27.4467810Z     Async work handle, if async_op is set to True.
2025-07-24T04:20:27.4468060Z     None, if not async_op or if not part of the group
2025-07-24T04:20:27.4468220Z 
2025-07-24T04:20:27.4468270Z Examples:
2025-07-24T04:20:27.4468430Z     >>> # xdoctest: +SKIP("need process group init")
2025-07-24T04:20:27.4468650Z     >>> # All tensors below are of torch.int64 dtype.
2025-07-24T04:20:27.4468870Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.4469070Z     >>> device = torch.device(f"cuda:{rank}")
2025-07-24T04:20:27.4469260Z     >>> tensor_list = [
2025-07-24T04:20:27.4469520Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-07-24T04:20:27.4469760Z     ... ]
2025-07-24T04:20:27.4469870Z     >>> tensor_list
2025-07-24T04:20:27.4470080Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-07-24T04:20:27.4470400Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-07-24T04:20:27.4470730Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-07-24T04:20:27.4470980Z     >>> tensor
2025-07-24T04:20:27.4471120Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4471320Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4471630Z     >>> dist.all_gather(tensor_list, tensor)
2025-07-24T04:20:27.4471820Z     >>> tensor_list
2025-07-24T04:20:27.4472060Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-07-24T04:20:27.4472370Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-07-24T04:20:27.4472560Z 
2025-07-24T04:20:27.4472650Z     >>> # All tensors below are of torch.cfloat dtype.
2025-07-24T04:20:27.4472870Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.4473060Z     >>> tensor_list = [
2025-07-24T04:20:27.4473290Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-07-24T04:20:27.4473530Z     ... ]
2025-07-24T04:20:27.4473640Z     >>> tensor_list
2025-07-24T04:20:27.4473880Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-07-24T04:20:27.4474240Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-07-24T04:20:27.4474520Z     >>> tensor = torch.tensor(
2025-07-24T04:20:27.4474720Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-07-24T04:20:27.4474930Z     ... ) + 2 * rank * (1 + 1j)
2025-07-24T04:20:27.4475080Z     >>> tensor
2025-07-24T04:20:27.4475250Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-07-24T04:20:27.4475480Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-07-24T04:20:27.4475690Z     >>> dist.all_gather(tensor_list, tensor)
2025-07-24T04:20:27.4475870Z     >>> tensor_list
2025-07-24T04:20:27.4476100Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-07-24T04:20:27.4476460Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-07-24T04:20:27.4476680Z 
2025-07-24T04:20:27.4476680Z 
2025-07-24T04:20:27.4476830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4477050Z 
2025-07-24T04:20:27.4477480Z msg = Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4500.
2025-07-24T04:20:27.4478110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4478340Z 
2025-07-24T04:20:27.4478490Z Split input tensor and then scatter the split list to all processes in a group.
2025-07-24T04:20:27.4478710Z 
2025-07-24T04:20:27.4478870Z Later the received tensors are concatenated from all the processes in the group
2025-07-24T04:20:27.4479230Z and returned as a single output tensor.
2025-07-24T04:20:27.4479370Z 
2025-07-24T04:20:27.4479430Z Complex tensors are supported.
2025-07-24T04:20:27.4479550Z 
2025-07-24T04:20:27.4479590Z Args:
2025-07-24T04:20:27.4479760Z     output (Tensor): Gathered concatenated output tensor.
2025-07-24T04:20:27.4480000Z     input (Tensor): Input tensor to scatter.
2025-07-24T04:20:27.4480280Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-07-24T04:20:27.4480610Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-07-24T04:20:27.4480860Z         equally by ``world_size``.
2025-07-24T04:20:27.4481110Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-07-24T04:20:27.4481480Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-07-24T04:20:27.4481730Z         equally by ``world_size``.
2025-07-24T04:20:27.4481980Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.4482270Z         the default process group will be used.
2025-07-24T04:20:27.4482530Z     async_op (bool, optional): Whether this op should be an async op.
2025-07-24T04:20:27.4482720Z 
2025-07-24T04:20:27.4482770Z Returns:
2025-07-24T04:20:27.4482920Z     Async work handle, if async_op is set to True.
2025-07-24T04:20:27.4483160Z     None, if not async_op or if not part of the group.
2025-07-24T04:20:27.4483370Z 
2025-07-24T04:20:27.4483420Z .. warning::
2025-07-24T04:20:27.4483600Z     `all_to_all_single` is experimental and subject to change.
2025-07-24T04:20:27.4483760Z 
2025-07-24T04:20:27.4483870Z Examples:
2025-07-24T04:20:27.4484010Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-07-24T04:20:27.4484210Z     >>> input = torch.arange(4) + rank * 4
2025-07-24T04:20:27.4484390Z     >>> input
2025-07-24T04:20:27.4489790Z     tensor([0, 1, 2, 3])     # Rank 0
2025-07-24T04:20:27.4489980Z     tensor([4, 5, 6, 7])     # Rank 1
2025-07-24T04:20:27.4490160Z     tensor([8, 9, 10, 11])   # Rank 2
2025-07-24T04:20:27.4490330Z     tensor([12, 13, 14, 15]) # Rank 3
2025-07-24T04:20:27.4490540Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-07-24T04:20:27.4490760Z     >>> dist.all_to_all_single(output, input)
2025-07-24T04:20:27.4490800Z     >>> output
2025-07-24T04:20:27.4490860Z     tensor([0, 4, 8, 12])    # Rank 0
2025-07-24T04:20:27.4490910Z     tensor([1, 5, 9, 13])    # Rank 1
2025-07-24T04:20:27.4490970Z     tensor([2, 6, 10, 14])   # Rank 2
2025-07-24T04:20:27.4491020Z     tensor([3, 7, 11, 15])   # Rank 3
2025-07-24T04:20:27.4491030Z 
2025-07-24T04:20:27.4491130Z     >>> # Essentially, it is similar to following operation:
2025-07-24T04:20:27.4491220Z     >>> scatter_list = list(input.chunk(world_size))
2025-07-24T04:20:27.4491300Z     >>> gather_list = list(output.chunk(world_size))
2025-07-24T04:20:27.4491360Z     >>> for i in range(world_size):
2025-07-24T04:20:27.4491500Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-07-24T04:20:27.4491510Z 
2025-07-24T04:20:27.4491570Z     >>> # Another example with uneven split
2025-07-24T04:20:27.4491620Z     >>> input
2025-07-24T04:20:27.4491720Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-07-24T04:20:27.4491820Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-07-24T04:20:27.4491920Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-07-24T04:20:27.4492020Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-07-24T04:20:27.4492070Z     >>> input_splits
2025-07-24T04:20:27.4492150Z     [2, 2, 1, 1]                                                     # Rank 0
2025-07-24T04:20:27.4492230Z     [3, 2, 2, 2]                                                     # Rank 1
2025-07-24T04:20:27.4492310Z     [2, 1, 1, 1]                                                     # Rank 2
2025-07-24T04:20:27.4492390Z     [2, 2, 2, 1]                                                     # Rank 3
2025-07-24T04:20:27.4492550Z     >>> output_splits
2025-07-24T04:20:27.4492630Z     [2, 3, 2, 2]                                                     # Rank 0
2025-07-24T04:20:27.4492700Z     [2, 2, 1, 2]                                                     # Rank 1
2025-07-24T04:20:27.4492780Z     [1, 2, 1, 2]                                                     # Rank 2
2025-07-24T04:20:27.4492860Z     [1, 2, 1, 1]                                                     # Rank 3
2025-07-24T04:20:27.4492910Z     >>> output = ...
2025-07-24T04:20:27.4493040Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-07-24T04:20:27.4493080Z     >>> output
2025-07-24T04:20:27.4493220Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-07-24T04:20:27.4493320Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-07-24T04:20:27.4493410Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-07-24T04:20:27.4493510Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-07-24T04:20:27.4493510Z 
2025-07-24T04:20:27.4493510Z 
2025-07-24T04:20:27.4493610Z     >>> # Another example with tensors of torch.cfloat type.
2025-07-24T04:20:27.4493670Z     >>> input = torch.tensor(
2025-07-24T04:20:27.4493760Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-07-24T04:20:27.4493830Z     ... ) + 4 * rank * (1 + 1j)
2025-07-24T04:20:27.4493880Z     >>> input
2025-07-24T04:20:27.4493990Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-07-24T04:20:27.4494130Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-07-24T04:20:27.4494240Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-07-24T04:20:27.4494360Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-07-24T04:20:27.4494440Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-07-24T04:20:27.4494520Z     >>> dist.all_to_all_single(output, input)
2025-07-24T04:20:27.4494560Z     >>> output
2025-07-24T04:20:27.4494670Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-07-24T04:20:27.4494780Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-07-24T04:20:27.4494880Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-07-24T04:20:27.4494990Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-07-24T04:20:27.4494990Z 
2025-07-24T04:20:27.4495150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4692020Z 
2025-07-24T04:20:27.4692690Z msg = Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4642.
2025-07-24T04:20:27.4692870Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4692880Z 
2025-07-24T04:20:27.4693120Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-07-24T04:20:27.4693120Z 
2025-07-24T04:20:27.4693230Z Complex tensors are supported.
2025-07-24T04:20:27.4693230Z 
2025-07-24T04:20:27.4693280Z Args:
2025-07-24T04:20:27.4693420Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-07-24T04:20:27.4693470Z         per rank.
2025-07-24T04:20:27.4693620Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-07-24T04:20:27.4693770Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.4693850Z         the default process group will be used.
2025-07-24T04:20:27.4693990Z     async_op (bool, optional): Whether this op should be an async op.
2025-07-24T04:20:27.4693990Z 
2025-07-24T04:20:27.4694040Z Returns:
2025-07-24T04:20:27.4694130Z     Async work handle, if async_op is set to True.
2025-07-24T04:20:27.4694410Z     None, if not async_op or if not part of the group.
2025-07-24T04:20:27.4694410Z 
2025-07-24T04:20:27.4694470Z .. warning::
2025-07-24T04:20:27.4694570Z     `all_to_all` is experimental and subject to change.
2025-07-24T04:20:27.4694570Z 
2025-07-24T04:20:27.4694620Z Examples:
2025-07-24T04:20:27.4694690Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-07-24T04:20:27.4694760Z     >>> input = torch.arange(4) + rank * 4
2025-07-24T04:20:27.4694830Z     >>> input = list(input.chunk(4))
2025-07-24T04:20:27.4694880Z     >>> input
2025-07-24T04:20:27.4694990Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-07-24T04:20:27.4695100Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-07-24T04:20:27.4695290Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-07-24T04:20:27.4695400Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-07-24T04:20:27.4695520Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-07-24T04:20:27.4695590Z     >>> dist.all_to_all(output, input)
2025-07-24T04:20:27.4695640Z     >>> output
2025-07-24T04:20:27.4695750Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-07-24T04:20:27.4695850Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-07-24T04:20:27.4695960Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-07-24T04:20:27.4696090Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-07-24T04:20:27.4696090Z 
2025-07-24T04:20:27.4696250Z     >>> # Essentially, it is similar to following operation:
2025-07-24T04:20:27.4696310Z     >>> scatter_list = input
2025-07-24T04:20:27.4696370Z     >>> gather_list = output
2025-07-24T04:20:27.4696430Z     >>> for i in range(world_size):
2025-07-24T04:20:27.4696580Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-07-24T04:20:27.4696580Z 
2025-07-24T04:20:27.4696620Z     >>> input
2025-07-24T04:20:27.4696720Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-07-24T04:20:27.4696820Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-07-24T04:20:27.4696920Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-07-24T04:20:27.4697020Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-07-24T04:20:27.4697080Z     >>> input_splits
2025-07-24T04:20:27.4697150Z     [2, 2, 1, 1]                                                     # Rank 0
2025-07-24T04:20:27.4697230Z     [3, 2, 2, 2]                                                     # Rank 1
2025-07-24T04:20:27.4697310Z     [2, 1, 1, 1]                                                     # Rank 2
2025-07-24T04:20:27.4697390Z     [2, 2, 2, 1]                                                     # Rank 3
2025-07-24T04:20:27.4697440Z     >>> output_splits
2025-07-24T04:20:27.4697520Z     [2, 3, 2, 2]                                                     # Rank 0
2025-07-24T04:20:27.4697600Z     [2, 2, 1, 2]                                                     # Rank 1
2025-07-24T04:20:27.4697670Z     [1, 2, 1, 2]                                                     # Rank 2
2025-07-24T04:20:27.4697760Z     [1, 2, 1, 1]                                                     # Rank 3
2025-07-24T04:20:27.4697840Z     >>> input = list(input.split(input_splits))
2025-07-24T04:20:27.4697880Z     >>> input
2025-07-24T04:20:27.4698010Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-07-24T04:20:27.4698130Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-07-24T04:20:27.4698260Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-07-24T04:20:27.4698390Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-07-24T04:20:27.4698440Z     >>> output = ...
2025-07-24T04:20:27.4698540Z     >>> dist.all_to_all(output, input)
2025-07-24T04:20:27.4698580Z     >>> output
2025-07-24T04:20:27.4698700Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-07-24T04:20:27.4698820Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-07-24T04:20:27.4698940Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-07-24T04:20:27.4699070Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-07-24T04:20:27.4699070Z 
2025-07-24T04:20:27.4699180Z     >>> # Another example with tensors of torch.cfloat type.
2025-07-24T04:20:27.4699230Z     >>> input = torch.tensor(
2025-07-24T04:20:27.4699360Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-07-24T04:20:27.4699420Z     ... ) + 4 * rank * (1 + 1j)
2025-07-24T04:20:27.4699480Z     >>> input = list(input.chunk(4))
2025-07-24T04:20:27.4699530Z     >>> input
2025-07-24T04:20:27.4699660Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-07-24T04:20:27.4699790Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-07-24T04:20:27.4699920Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-07-24T04:20:27.4700100Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-07-24T04:20:27.4700210Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-07-24T04:20:27.4700280Z     >>> dist.all_to_all(output, input)
2025-07-24T04:20:27.4700360Z     >>> output
2025-07-24T04:20:27.4700490Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-07-24T04:20:27.4700620Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-07-24T04:20:27.4700750Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-07-24T04:20:27.4700870Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-07-24T04:20:27.4700880Z 
2025-07-24T04:20:27.4700880Z 
2025-07-24T04:20:27.4701040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4701040Z 
2025-07-24T04:20:27.4701410Z msg = Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-07-24T04:20:27.4701570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4701580Z 
2025-07-24T04:20:27.4701650Z Module ``torch.distributed.launch``.
2025-07-24T04:20:27.4701650Z 
2025-07-24T04:20:27.4701800Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-07-24T04:20:27.4701890Z training processes on each of the training nodes.
2025-07-24T04:20:27.4701890Z 
2025-07-24T04:20:27.4701950Z .. warning::
2025-07-24T04:20:27.4701950Z 
2025-07-24T04:20:27.4702110Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-07-24T04:20:27.4702110Z 
2025-07-24T04:20:27.4702260Z The utility can be used for single-node distributed training, in which one or
2025-07-24T04:20:27.4702400Z more processes per node will be spawned. The utility can be used for either
2025-07-24T04:20:27.4702550Z CPU training or GPU training. If the utility is used for GPU training,
2025-07-24T04:20:27.4702690Z each distributed process will be operating on a single GPU. This can achieve
2025-07-24T04:20:27.4702840Z well-improved single-node training performance. It can also be used in
2025-07-24T04:20:27.4703000Z multi-node distributed training, by spawning up multiple processes on each node
2025-07-24T04:20:27.4703140Z for well-improved multi-node distributed training performance as well.
2025-07-24T04:20:27.4703280Z This will especially be beneficial for systems with multiple Infiniband
2025-07-24T04:20:27.4703480Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-07-24T04:20:27.4703550Z aggregated communication bandwidth.
2025-07-24T04:20:27.4703550Z 
2025-07-24T04:20:27.4703700Z In both cases of single-node distributed training or multi-node distributed
2025-07-24T04:20:27.4703840Z training, this utility will launch the given number of processes per node
2025-07-24T04:20:27.4703980Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-07-24T04:20:27.4704120Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-07-24T04:20:27.4704240Z and each process will be operating on a single GPU from *GPU 0 to
2025-07-24T04:20:27.4704310Z GPU (nproc_per_node - 1)*.
2025-07-24T04:20:27.4704350Z 
2025-07-24T04:20:27.4704410Z **How to use this module:**
2025-07-24T04:20:27.4704410Z 
2025-07-24T04:20:27.4704510Z 1. Single-Node multi-process distributed training
2025-07-24T04:20:27.4704510Z 
2025-07-24T04:20:27.4704550Z ::
2025-07-24T04:20:27.4704550Z 
2025-07-24T04:20:27.4704700Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:27.4704820Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-07-24T04:20:27.4704900Z                arguments of your training script)
2025-07-24T04:20:27.4704900Z 
2025-07-24T04:20:27.4705030Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-07-24T04:20:27.4705030Z 
2025-07-24T04:20:27.4705060Z 
2025-07-24T04:20:27.4705150Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-07-24T04:20:27.4705160Z 
2025-07-24T04:20:27.4705200Z ::
2025-07-24T04:20:27.4705200Z 
2025-07-24T04:20:27.4705390Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:27.4705500Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-07-24T04:20:27.4705640Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-07-24T04:20:27.4705730Z                and all other arguments of your training script)
2025-07-24T04:20:27.4705730Z 
2025-07-24T04:20:27.4705780Z Node 2:
2025-07-24T04:20:27.4705780Z 
2025-07-24T04:20:27.4705820Z ::
2025-07-24T04:20:27.4705830Z 
2025-07-24T04:20:27.4705970Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:27.4706070Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-07-24T04:20:27.4706200Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-07-24T04:20:27.4706290Z                and all other arguments of your training script)
2025-07-24T04:20:27.4706300Z 
2025-07-24T04:20:27.4706400Z 3. To look up what optional arguments this module offers:
2025-07-24T04:20:27.4706400Z 
2025-07-24T04:20:27.4706450Z ::
2025-07-24T04:20:27.4706450Z 
2025-07-24T04:20:27.4706540Z     python -m torch.distributed.launch --help
2025-07-24T04:20:27.4706540Z 
2025-07-24T04:20:27.4706540Z 
2025-07-24T04:20:27.4706590Z **Important Notices:**
2025-07-24T04:20:27.4706590Z 
2025-07-24T04:20:27.4706710Z 1. This utility and multi-process distributed (single-node or
2025-07-24T04:20:27.4706860Z multi-node) GPU training currently only achieves the best performance using
2025-07-24T04:20:27.4707020Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-07-24T04:20:27.4707070Z use for GPU training.
2025-07-24T04:20:27.4707070Z 
2025-07-24T04:20:27.4707210Z 2. In your training program, you must parse the command-line argument:
2025-07-24T04:20:27.4707350Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-07-24T04:20:27.4707490Z If your training program uses GPUs, you should ensure that your code only
2025-07-24T04:20:27.4707610Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-07-24T04:20:27.4707610Z 
2025-07-24T04:20:27.4707680Z Parsing the local_rank argument
2025-07-24T04:20:27.4707680Z 
2025-07-24T04:20:27.4707720Z ::
2025-07-24T04:20:27.4707730Z 
2025-07-24T04:20:27.4707780Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.4707870Z     >>> import argparse
2025-07-24T04:20:27.4707950Z     >>> parser = argparse.ArgumentParser()
2025-07-24T04:20:27.4708070Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-07-24T04:20:27.4708130Z     >>> args = parser.parse_args()
2025-07-24T04:20:27.4708130Z 
2025-07-24T04:20:27.4708200Z Set your device to local rank using either
2025-07-24T04:20:27.4708200Z 
2025-07-24T04:20:27.4708250Z ::
2025-07-24T04:20:27.4708250Z 
2025-07-24T04:20:27.4708370Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-07-24T04:20:27.4708370Z 
2025-07-24T04:20:27.4708420Z or
2025-07-24T04:20:27.4708420Z 
2025-07-24T04:20:27.4708460Z ::
2025-07-24T04:20:27.4708460Z 
2025-07-24T04:20:27.4708580Z     >>> with torch.cuda.device(args.local_rank):
2025-07-24T04:20:27.4708630Z     >>>    # your code to run
2025-07-24T04:20:27.4708680Z     >>>    ...
2025-07-24T04:20:27.4708680Z 
2025-07-24T04:20:27.4708740Z .. versionchanged:: 2.0.0
2025-07-24T04:20:27.4708740Z 
2025-07-24T04:20:27.4708890Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-07-24T04:20:27.4709040Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-07-24T04:20:27.4709130Z     previously used underscored ``--local_rank``.
2025-07-24T04:20:27.4709130Z 
2025-07-24T04:20:27.4709270Z     For backward compatibility, it may be necessary for users to handle both
2025-07-24T04:20:27.4709450Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-07-24T04:20:27.4709620Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-07-24T04:20:27.4709780Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-07-24T04:20:27.4709920Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-07-24T04:20:27.4710020Z     including ``"--local-rank"`` should be sufficient.
2025-07-24T04:20:27.4710020Z 
2025-07-24T04:20:27.4710160Z 3. In your training program, you are supposed to call the following function
2025-07-24T04:20:27.4710310Z at the beginning to start the distributed backend. It is strongly recommended
2025-07-24T04:20:27.4710450Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-07-24T04:20:27.4710570Z but ``env://`` is the one that is officially supported by this module.
2025-07-24T04:20:27.4710570Z 
2025-07-24T04:20:27.4710620Z ::
2025-07-24T04:20:27.4710620Z 
2025-07-24T04:20:27.4710750Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-07-24T04:20:27.4710850Z     >>>                                      init_method='env://')
2025-07-24T04:20:27.4710850Z 
2025-07-24T04:20:27.4710990Z 4. In your training program, you can either use regular distributed functions
2025-07-24T04:20:27.4711140Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-07-24T04:20:27.4711270Z training program uses GPUs for training and you would like to use
2025-07-24T04:20:27.4711390Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-07-24T04:20:27.4711450Z here is how to configure it.
2025-07-24T04:20:27.4711450Z 
2025-07-24T04:20:27.4711490Z ::
2025-07-24T04:20:27.4711500Z 
2025-07-24T04:20:27.4711620Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-07-24T04:20:27.4711710Z     >>>                                                   device_ids=[args.local_rank],
2025-07-24T04:20:27.4711800Z     >>>                                                   output_device=args.local_rank)
2025-07-24T04:20:27.4711800Z 
2025-07-24T04:20:27.4711950Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-07-24T04:20:27.4712090Z that your code will be operating on. This is generally the local rank of the
2025-07-24T04:20:27.4712260Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-07-24T04:20:27.4712390Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-07-24T04:20:27.4712470Z utility
2025-07-24T04:20:27.4712480Z 
2025-07-24T04:20:27.4712630Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-07-24T04:20:27.4712760Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-07-24T04:20:27.4712890Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-07-24T04:20:27.4713020Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-07-24T04:20:27.4713130Z will not pass ``--local-rank`` when you specify this flag.
2025-07-24T04:20:27.4713130Z 
2025-07-24T04:20:27.4713180Z .. warning::
2025-07-24T04:20:27.4713180Z 
2025-07-24T04:20:27.4713310Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-07-24T04:20:27.4713470Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-07-24T04:20:27.4713540Z     write to a networked filesystem.  See
2025-07-24T04:20:27.4713680Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-07-24T04:20:27.4713780Z     how things can go wrong if you don't do this correctly.
2025-07-24T04:20:27.4713780Z 
2025-07-24T04:20:27.4713780Z 
2025-07-24T04:20:27.4713780Z 
2025-07-24T04:20:27.4713790Z 
2025-07-24T04:20:27.4713940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4890830Z 
2025-07-24T04:20:27.4891650Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=689.
2025-07-24T04:20:27.4891930Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:27.4891940Z 
2025-07-24T04:20:27.4892120Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-07-24T04:20:27.4892290Z The submesh created consists of the dimensions and the communicators indicated by
2025-07-24T04:20:27.4892340Z ``mesh_dim_names``
2025-07-24T04:20:27.4892350Z 
2025-07-24T04:20:27.4892400Z Args:
2025-07-24T04:20:27.4892550Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-07-24T04:20:27.4892670Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-07-24T04:20:27.4892720Z Returns:
2025-07-24T04:20:27.4892780Z     A :class:`DeviceMesh` object
2025-07-24T04:20:27.4892790Z 
2025-07-24T04:20:27.4892970Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-07-24T04:20:27.4893030Z In the first example:
2025-07-24T04:20:27.4893200Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-07-24T04:20:27.4893360Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-07-24T04:20:27.4893510Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-07-24T04:20:27.4893650Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-07-24T04:20:27.4893790Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-07-24T04:20:27.4893930Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-07-24T04:20:27.4893930Z 
2025-07-24T04:20:27.4893990Z In the second example:
2025-07-24T04:20:27.4894160Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-07-24T04:20:27.4894330Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-07-24T04:20:27.4894500Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-07-24T04:20:27.4894670Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-07-24T04:20:27.4894670Z 
2025-07-24T04:20:27.4894760Z Example::
2025-07-24T04:20:27.4894760Z 
2025-07-24T04:20:27.4894820Z     >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:27.4894990Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-07-24T04:20:27.4895030Z     >>>
2025-07-24T04:20:27.4895160Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-07-24T04:20:27.4895250Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-07-24T04:20:27.4895410Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-07-24T04:20:27.4895470Z     >>> tp_mesh = mesh_2d["tp"]
2025-07-24T04:20:27.4895530Z     >>> dp_mesh = mesh_2d["dp"]
2025-07-24T04:20:27.4895570Z     >>>
2025-07-24T04:20:27.4895620Z     >>> # Initialize a 3D mesh.
2025-07-24T04:20:27.4895800Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-07-24T04:20:27.4896040Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-07-24T04:20:27.4896110Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-07-24T04:20:27.4896170Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-07-24T04:20:27.4896180Z 
2025-07-24T04:20:27.4896570Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-07-24T04:20:27.4896570Z 
2025-07-24T04:20:27.4896720Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-07-24T04:20:27.4896840Z                                                                                  ^
2025-07-24T04:20:27.4897360Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-07-24T04:20:27.4897530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4897530Z 
2025-07-24T04:20:27.4897710Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-07-24T04:20:27.4897860Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-07-24T04:20:27.4897870Z 
2025-07-24T04:20:27.4897970Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-07-24T04:20:27.4897970Z 
2025-07-24T04:20:27.4898020Z .. warning::
2025-07-24T04:20:27.4898120Z     Current implementation only supports loading Tensors.
2025-07-24T04:20:27.4898130Z 
2025-07-24T04:20:27.4898190Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4898250Z >>> sd = {"mode": model}
2025-07-24T04:20:27.4898290Z >>> dcp.load(
2025-07-24T04:20:27.4898340Z >>>    sd,
2025-07-24T04:20:27.4898440Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-07-24T04:20:27.4898510Z >>>    planner=DynamicMetaLoadPlanner(),
2025-07-24T04:20:27.4898580Z >>>    checkpoint_id="path_to_model.pt"
2025-07-24T04:20:27.4898620Z >>> )
2025-07-24T04:20:27.4898620Z 
2025-07-24T04:20:27.4898780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4898780Z 
2025-07-24T04:20:27.4899240Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-07-24T04:20:27.4899400Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4899400Z 
2025-07-24T04:20:27.4899620Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-07-24T04:20:27.4899820Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-07-24T04:20:27.4899890Z metadata file, like Torch Save files.
2025-07-24T04:20:27.4899890Z 
2025-07-24T04:20:27.4900010Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-07-24T04:20:27.4900010Z 
2025-07-24T04:20:27.4900060Z .. warning::
2025-07-24T04:20:27.4900160Z     Current implementation only supports loading Tensors.
2025-07-24T04:20:27.4900160Z 
2025-07-24T04:20:27.4900270Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4900330Z >>> sd = {"mode": model}
2025-07-24T04:20:27.4900380Z >>> dcp.load(
2025-07-24T04:20:27.4900420Z >>>    sd,
2025-07-24T04:20:27.4900510Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-07-24T04:20:27.4900580Z >>>    planner=DynamicMetaLoadPlanner(),
2025-07-24T04:20:27.4900650Z >>>    checkpoint_id="path_to_model.pt"
2025-07-24T04:20:27.4900690Z >>> )
2025-07-24T04:20:27.4900700Z 
2025-07-24T04:20:27.4900850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.4900850Z 
2025-07-24T04:20:27.4901270Z msg = Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-07-24T04:20:27.4901470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.4901470Z 
2025-07-24T04:20:27.4901650Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-07-24T04:20:27.4901650Z 
2025-07-24T04:20:27.4901820Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-07-24T04:20:27.4901820Z 
2025-07-24T04:20:27.4902000Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-07-24T04:20:27.4902060Z will be visible to the whole process.
2025-07-24T04:20:27.4902070Z 
2025-07-24T04:20:27.4902250Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-07-24T04:20:27.4902260Z 
2025-07-24T04:20:27.4902330Z 1) set_up_planner - called on all ranks.
2025-07-24T04:20:27.4902450Z     Signals the start of a checkpoint save.
2025-07-24T04:20:27.4902450Z 
2025-07-24T04:20:27.4902520Z 2) create_local_plan - called on all ranks.
2025-07-24T04:20:27.4902710Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-07-24T04:20:27.4902710Z 
2025-07-24T04:20:27.4902820Z 3) create_global_plan - called on the coordinator rank only.
2025-07-24T04:20:27.4902950Z     Takes the SavePlan from all ranks and make any global decision.
2025-07-24T04:20:27.4902950Z 
2025-07-24T04:20:27.4903010Z 4) finish_plan - called on all ranks.
2025-07-24T04:20:27.4903150Z     This gives each rank a chance to adjust to global planning decisions.
2025-07-24T04:20:27.4903150Z 
2025-07-24T04:20:27.4903250Z 5) resolve_data - called multiple times on each rank
2025-07-24T04:20:27.4903370Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-07-24T04:20:27.4903380Z 
2025-07-24T04:20:27.4903560Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-07-24T04:20:27.4903680Z most changes can be expressed by changes in a single method.
2025-07-24T04:20:27.4903680Z 
2025-07-24T04:20:27.4903750Z There are 3 usual patterns of extension:
2025-07-24T04:20:27.4903750Z 
2025-07-24T04:20:27.4903900Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-07-24T04:20:27.4904040Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-07-24T04:20:27.4904040Z 
2025-07-24T04:20:27.4904110Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4904190Z >>> class RenamePlanner(DefaultSavePlanner):
2025-07-24T04:20:27.4904250Z >>>     def set_up_planner(
2025-07-24T04:20:27.4904290Z >>>         self,
2025-07-24T04:20:27.4904350Z >>>         state_dict: STATE_DICT_TYPE,
2025-07-24T04:20:27.4904430Z >>>         storage_meta: Optional[StorageMeta],
2025-07-24T04:20:27.4904490Z >>>         is_coordinator: bool,
2025-07-24T04:20:27.4904540Z >>>     ) -> None:
2025-07-24T04:20:27.4904600Z >>> # prefix all keys with `foo_``
2025-07-24T04:20:27.4904790Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-07-24T04:20:27.4904790Z 
2025-07-24T04:20:27.4904990Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-07-24T04:20:27.4905030Z 
2025-07-24T04:20:27.4905100Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4905170Z >>> class FP16Planner(DefaultSavePlanner):
2025-07-24T04:20:27.4905240Z >>>     def create_local_plan(self):
2025-07-24T04:20:27.4905310Z >>>         plan = super().create_local_plan()
2025-07-24T04:20:27.4905360Z >>>         for p in plan:
2025-07-24T04:20:27.4905430Z >>>             if p.tensor_data is not None:
2025-07-24T04:20:27.4905530Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-07-24T04:20:27.4905580Z >>>         return plan
2025-07-24T04:20:27.4905630Z >>>
2025-07-24T04:20:27.4905700Z >>>     def resolve_data(self, write_item):
2025-07-24T04:20:27.4905770Z >>>         item = super().resolve_data(write_item)
2025-07-24T04:20:27.4905980Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-07-24T04:20:27.4905980Z 
2025-07-24T04:20:27.4906180Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-07-24T04:20:27.4906190Z 
2025-07-24T04:20:27.4906250Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4906320Z >>> from itertools import zip_longest
2025-07-24T04:20:27.4906380Z >>> from dataclasses import replace
2025-07-24T04:20:27.4906490Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-07-24T04:20:27.4906680Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-07-24T04:20:27.4906760Z >>> # This sample doesn't handle ShardedTensors
2025-07-24T04:20:27.4906840Z >>>     def create_global_plan(self, all_plans):
2025-07-24T04:20:27.4906960Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-07-24T04:20:27.4907030Z >>>         items_per_rank = [
2025-07-24T04:20:27.4907110Z >>>             [item for item in items if item is not None]
2025-07-24T04:20:27.4907220Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-07-24T04:20:27.4907260Z >>>         ]
2025-07-24T04:20:27.4907320Z >>>         all_plans = [
2025-07-24T04:20:27.4907380Z >>>             replace(plan, items=items)
2025-07-24T04:20:27.4907500Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-07-24T04:20:27.4907540Z >>>         ]
2025-07-24T04:20:27.4907630Z >>>         return super().create_global_plan(all_plans)
2025-07-24T04:20:27.4907630Z 
2025-07-24T04:20:27.4907790Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-07-24T04:20:27.4907950Z accomplished by having each rank contribute their data items in the local plan and
2025-07-24T04:20:27.4908030Z the global planner aggregate them:
2025-07-24T04:20:27.4908030Z 
2025-07-24T04:20:27.4908090Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.4908190Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-07-24T04:20:27.4908270Z >>>     def create_local_plan(self) -> SavePlan:
2025-07-24T04:20:27.4908340Z >>>         plan = super().create_local_plan()
2025-07-24T04:20:27.4908440Z >>>         return replace(plan, planner_data="per-rank-data")
2025-07-24T04:20:27.4908490Z >>>
2025-07-24T04:20:27.4908670Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-07-24T04:20:27.4908790Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-07-24T04:20:27.4908890Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-07-24T04:20:27.4909000Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-07-24T04:20:27.4909070Z >>>         return global_plan, metadata
2025-07-24T04:20:27.4909070Z 
2025-07-24T04:20:27.4909220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5051850Z 
2025-07-24T04:20:27.5052410Z msg = Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-07-24T04:20:27.5052610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5052710Z 
2025-07-24T04:20:27.5052890Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-07-24T04:20:27.5052900Z 
2025-07-24T04:20:27.5053070Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-07-24T04:20:27.5053070Z 
2025-07-24T04:20:27.5053250Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-07-24T04:20:27.5053320Z will be visible to the whole process.
2025-07-24T04:20:27.5053320Z 
2025-07-24T04:20:27.5053500Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-07-24T04:20:27.5053690Z 
2025-07-24T04:20:27.5053770Z 1) set_up_planner - called on all ranks.
2025-07-24T04:20:27.5053850Z     Signals the start of loading a checkpoint.
2025-07-24T04:20:27.5053860Z 
2025-07-24T04:20:27.5053930Z 2) create_local_plan - called on all ranks.
2025-07-24T04:20:27.5054110Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-07-24T04:20:27.5054110Z 
2025-07-24T04:20:27.5054220Z 3) create_global_plan - called on the coordinator rank only.
2025-07-24T04:20:27.5054350Z     Takes the LoadPlan from all ranks and make any global decision.
2025-07-24T04:20:27.5054350Z 
2025-07-24T04:20:27.5054430Z 4) load_bytes - called multiple times on each rank
2025-07-24T04:20:27.5054560Z     This is called once per non-tensor value in state_dict.
2025-07-24T04:20:27.5054560Z 
2025-07-24T04:20:27.5054700Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-07-24T04:20:27.5054850Z     They are called in pair for each Tensor value in state_dict.
2025-07-24T04:20:27.5054850Z 
2025-07-24T04:20:27.5055030Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-07-24T04:20:27.5055150Z most changes can be expressed by changes in a single method.
2025-07-24T04:20:27.5055150Z 
2025-07-24T04:20:27.5055220Z There are two usual patterns of extension:
2025-07-24T04:20:27.5055230Z 
2025-07-24T04:20:27.5055390Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-07-24T04:20:27.5055540Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-07-24T04:20:27.5055680Z to keep a reference to the original state_dict as load happens in place so
2025-07-24T04:20:27.5055750Z we need to be able to perform it in place
2025-07-24T04:20:27.5055750Z 
2025-07-24T04:20:27.5055820Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.5055900Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-07-24T04:20:27.5055960Z >>>     def set_up_planner(
2025-07-24T04:20:27.5056000Z >>>         self,
2025-07-24T04:20:27.5056070Z >>>         state_dict: STATE_DICT_TYPE,
2025-07-24T04:20:27.5056120Z >>>         metadata: Metadata,
2025-07-24T04:20:27.5056180Z >>>         is_coordinator: bool,
2025-07-24T04:20:27.5056230Z >>>     ) -> None:
2025-07-24T04:20:27.5056300Z >>>         self.original_state_dict = state_dict
2025-07-24T04:20:27.5056410Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-07-24T04:20:27.5056460Z >>>
2025-07-24T04:20:27.5056530Z >>>         if self.flatten_sharded_tensors:
2025-07-24T04:20:27.5056620Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-07-24T04:20:27.5056670Z >>>
2025-07-24T04:20:27.5056730Z >>>         if self.flatten_state_dict:
2025-07-24T04:20:27.5056840Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-07-24T04:20:27.5056880Z >>>
2025-07-24T04:20:27.5056950Z >>>         self.state_dict = state_dict
2025-07-24T04:20:27.5057010Z >>>         self.metadata = metadata
2025-07-24T04:20:27.5057090Z >>>         self.is_coordinator = is_coordinator
2025-07-24T04:20:27.5057130Z >>>
2025-07-24T04:20:27.5057200Z >>>     def load_bytes(self, read_item, value):
2025-07-24T04:20:27.5057260Z >>> # Remove the "foo_" prefix
2025-07-24T04:20:27.5057450Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-07-24T04:20:27.5057480Z 
2025-07-24T04:20:27.5057480Z 
2025-07-24T04:20:27.5057640Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-07-24T04:20:27.5057650Z 
2025-07-24T04:20:27.5057710Z >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:27.5057800Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-07-24T04:20:27.5057870Z >>>     def resolve_tensor(self, read_item):
2025-07-24T04:20:27.5057960Z >>>         tensor = super().resolve_tensor(read_item)
2025-07-24T04:20:27.5058050Z >>>         return torch.empty_like(tensor, device="cpu")
2025-07-24T04:20:27.5058100Z >>>
2025-07-24T04:20:27.5058170Z >>>     def commit_tensor(self, read_item, tensor):
2025-07-24T04:20:27.5058300Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-07-24T04:20:27.5058300Z 
2025-07-24T04:20:27.5058460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5058460Z 
2025-07-24T04:20:27.5058890Z msg = Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-07-24T04:20:27.5059040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5059050Z 
2025-07-24T04:20:27.5059150Z Return the model state_dict and optimizers state_dict.
2025-07-24T04:20:27.5059180Z 
2025-07-24T04:20:27.5059320Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-07-24T04:20:27.5059510Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-07-24T04:20:27.5059660Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-07-24T04:20:27.5059800Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-07-24T04:20:27.5059920Z with a different number of trainers and/or different parallelisms.
2025-07-24T04:20:27.5060080Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-07-24T04:20:27.5060120Z these APIs.
2025-07-24T04:20:27.5060200Z 3.) sanity checking the result state_dict.
2025-07-24T04:20:27.5060200Z 
2025-07-24T04:20:27.5060330Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-07-24T04:20:27.5060480Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-07-24T04:20:27.5060620Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-07-24T04:20:27.5060750Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-07-24T04:20:27.5060880Z ``module.named_buffers()`` when the module is not distributed by any
2025-07-24T04:20:27.5061040Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-07-24T04:20:27.5061170Z a parameter, there will be a conversion from the parameter IDs to the
2025-07-24T04:20:27.5061230Z canonical FQNs when calling this API.
2025-07-24T04:20:27.5061240Z 
2025-07-24T04:20:27.5061370Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-07-24T04:20:27.5061510Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-07-24T04:20:27.5061590Z optimizer parameter IDs to the canonical FQNs.
2025-07-24T04:20:27.5061590Z 
2025-07-24T04:20:27.5061640Z Example:
2025-07-24T04:20:27.5061700Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.5061750Z     >>> import torch
2025-07-24T04:20:27.5061890Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:27.5062020Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-07-24T04:20:27.5062160Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-07-24T04:20:27.5062160Z 
2025-07-24T04:20:27.5062240Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-07-24T04:20:27.5062350Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-07-24T04:20:27.5062420Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-07-24T04:20:27.5062580Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-07-24T04:20:27.5062590Z 
2025-07-24T04:20:27.5062590Z 
2025-07-24T04:20:27.5062730Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-07-24T04:20:27.5062840Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-07-24T04:20:27.5062900Z     ...     fsdp_model, fsdp_optim
2025-07-24T04:20:27.5062950Z     ... )
2025-07-24T04:20:27.5062950Z 
2025-07-24T04:20:27.5063140Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-07-24T04:20:27.5070790Z     >>> # the asserts will fail.
2025-07-24T04:20:27.5070890Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-07-24T04:20:27.5071040Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-07-24T04:20:27.5071040Z 
2025-07-24T04:20:27.5071050Z 
2025-07-24T04:20:27.5071090Z Args:
2025-07-24T04:20:27.5071180Z     model (nn.Module): the nn.Module to the model.
2025-07-24T04:20:27.5071300Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-07-24T04:20:27.5071400Z         The optimizers that are used to optimize ``model``.
2025-07-24T04:20:27.5071570Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-07-24T04:20:27.5071630Z         that belong to the submodules.
2025-07-24T04:20:27.5071740Z     options (StateDictOptions): the options to control how
2025-07-24T04:20:27.5071890Z         model state_dict and optimizer state_dict should be returned. See
2025-07-24T04:20:27.5071970Z         `StateDictOptions` for the details.
2025-07-24T04:20:27.5072020Z 
2025-07-24T04:20:27.5072070Z Returns:
2025-07-24T04:20:27.5072190Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-07-24T04:20:27.5072200Z 
2025-07-24T04:20:27.5072340Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-07-24T04:20:27.5072340Z 
2025-07-24T04:20:27.5072490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5072490Z 
2025-07-24T04:20:27.5072920Z msg = Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=96.
2025-07-24T04:20:27.5073070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5073080Z 
2025-07-24T04:20:27.5073150Z Save a distributed model in SPMD style.
2025-07-24T04:20:27.5073150Z 
2025-07-24T04:20:27.5073260Z This function is different from ``torch.save()`` as it handles
2025-07-24T04:20:27.5073420Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-07-24T04:20:27.5073430Z 
2025-07-24T04:20:27.5073590Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-07-24T04:20:27.5073680Z save will call ``state_dict`` before serialization.
2025-07-24T04:20:27.5073680Z 
2025-07-24T04:20:27.5073730Z .. warning::
2025-07-24T04:20:27.5073880Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-07-24T04:20:27.5073930Z     for saved state_dicts.
2025-07-24T04:20:27.5073930Z 
2025-07-24T04:20:27.5073980Z .. warning::
2025-07-24T04:20:27.5074100Z     If using the `process_group` argument, make sure that only its ranks
2025-07-24T04:20:27.5074230Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-07-24T04:20:27.5074230Z 
2025-07-24T04:20:27.5074280Z .. note::
2025-07-24T04:20:27.5074430Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-07-24T04:20:27.5074590Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-07-24T04:20:27.5074650Z     group needs to be passed in.
2025-07-24T04:20:27.5074660Z 
2025-07-24T04:20:27.5074700Z .. note::
2025-07-24T04:20:27.5074860Z     If no process group is available, this function assumes the intention is to save the
2025-07-24T04:20:27.5074960Z      state_dict in the local process.
2025-07-24T04:20:27.5074960Z 
2025-07-24T04:20:27.5075000Z .. note:
2025-07-24T04:20:27.5075080Z     Rank 0 is assumed to be the coordinator rank.
2025-07-24T04:20:27.5075090Z 
2025-07-24T04:20:27.5075090Z 
2025-07-24T04:20:27.5075130Z Args:
2025-07-24T04:20:27.5075220Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-07-24T04:20:27.5075310Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:27.5075440Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:27.5075560Z         depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:27.5075670Z         It can also be a key if the storage is a key-value store.
2025-07-24T04:20:27.5075740Z         (Default: ``None``)
2025-07-24T04:20:27.5075820Z     storage_writer (Optional[StorageWriter]):
2025-07-24T04:20:27.5075940Z         Instance of StorageWriter used to perform writes. If this is not
2025-07-24T04:20:27.5076070Z         specified, DCP will automatically infer the writer based on the
2025-07-24T04:20:27.5076200Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:27.5076260Z         be raised. (Default: ``None``)
2025-07-24T04:20:27.5076330Z     planner (Optional[SavePlanner]):
2025-07-24T04:20:27.5076450Z         Instance of SavePlanner. If this is not specified, the default
2025-07-24T04:20:27.5076550Z         planner will be used. (Default: ``None``)
2025-07-24T04:20:27.5076630Z     process_group (Optional[ProcessGroup]):
2025-07-24T04:20:27.5076740Z         ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:27.5076830Z         (Default: ``None``)
2025-07-24T04:20:27.5076880Z     no_dist (bool):
2025-07-24T04:20:27.5076990Z         If ``True``, this function will assume the intent is to load
2025-07-24T04:20:27.5077100Z         a checkpoint without using cross-rank synchronization.
2025-07-24T04:20:27.5077150Z         (Default: ``False``)
2025-07-24T04:20:27.5077160Z 
2025-07-24T04:20:27.5077200Z Returns:
2025-07-24T04:20:27.5077300Z     Metadata: Metadata object for the saved checkpoint.
2025-07-24T04:20:27.5077300Z 
2025-07-24T04:20:27.5077340Z Example:
2025-07-24T04:20:27.5077400Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.5077460Z     >>> my_model = MyModule()
2025-07-24T04:20:27.5077460Z 
2025-07-24T04:20:27.5077520Z     >>> state_dict = {"model": my_model}
2025-07-24T04:20:27.5077520Z 
2025-07-24T04:20:27.5077670Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-07-24T04:20:27.5077720Z     ...     "/checkpoint/1"
2025-07-24T04:20:27.5077770Z     ... )
2025-07-24T04:20:27.5077840Z     >>> torch.distributed.checkpoint.save(
2025-07-24T04:20:27.5077910Z     >>>     state_dict=state_dict,
2025-07-24T04:20:27.5077970Z     >>>     storage_writer=fs_storage_writer,
2025-07-24T04:20:27.5078020Z     >>> )
2025-07-24T04:20:27.5078020Z 
2025-07-24T04:20:27.5078060Z .. note::
2025-07-24T04:20:27.5078200Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-07-24T04:20:27.5078330Z     For NCCL-based process groups, internal tensor representations of
2025-07-24T04:20:27.5078470Z     objects must be moved to the GPU device before communication takes place.
2025-07-24T04:20:27.5078600Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-07-24T04:20:27.5078730Z     and it is the user's responsibility to ensure that this is set so that
2025-07-24T04:20:27.5078850Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-07-24T04:20:27.5078850Z 
2025-07-24T04:20:27.5079010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5262480Z 
2025-07-24T04:20:27.5263160Z msg = Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=221.
2025-07-24T04:20:27.5263340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5263640Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-07-24T04:20:27.5263830Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-07-24T04:20:27.5263830Z 
2025-07-24T04:20:27.5263890Z     .. warning::
2025-07-24T04:20:27.5263990Z         This feature is experimental and subject to change.
2025-07-24T04:20:27.5264090Z         MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-07-24T04:20:27.5264090Z 
2025-07-24T04:20:27.5264140Z     Args:
2025-07-24T04:20:27.5264250Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-07-24T04:20:27.5264350Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:27.5264540Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:27.5264670Z             depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:27.5264780Z             It can also be a key if the storage is a key-value store.
2025-07-24T04:20:27.5264840Z             (Default: ``None``)
2025-07-24T04:20:27.5264960Z         storage_writer (Optional[StorageWriter]):
2025-07-24T04:20:27.5265090Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-07-24T04:20:27.5265250Z             this is not specified, DCP will automatically infer the writer based on the
2025-07-24T04:20:27.5265410Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:27.5265480Z             be raised. (Default: ``None``)
2025-07-24T04:20:27.5265550Z         planner (Optional[SavePlanner]):
2025-07-24T04:20:27.5265730Z             Instance of SavePlanner. If this is not specified, the default
2025-07-24T04:20:27.5265830Z             planner will be used. (Default: ``None``)
2025-07-24T04:20:27.5265910Z         process_group (Optional[ProcessGroup]):
2025-07-24T04:20:27.5266030Z             ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:27.5266090Z             (Default: ``None``)
2025-07-24T04:20:27.5266200Z         async_checkpointer_type (AsyncCheckpointerType):
2025-07-24T04:20:27.5266310Z             whether to do checkpoint in separate thread or process
2025-07-24T04:20:27.5266400Z             (Default: ``AsyncCheckpointerType.THREAD``)
2025-07-24T04:20:27.5266460Z         async_stager (AsyncStager):
2025-07-24T04:20:27.5266630Z             provides staging implementation. If storage_writer implements AsyncStager
2025-07-24T04:20:27.5266760Z             and async_stager is provided, async_stager will be used for staging
2025-07-24T04:20:27.5266760Z 
2025-07-24T04:20:27.5266810Z     Returns:
2025-07-24T04:20:27.5266940Z         Future: A future holding the resultant Metadata object from `save`.
2025-07-24T04:20:27.5266940Z 
2025-07-24T04:20:27.5266990Z     Example:
2025-07-24T04:20:27.5267040Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:27.5267100Z         >>> my_model = MyModule()
2025-07-24T04:20:27.5267100Z 
2025-07-24T04:20:27.5267170Z         >>> state_dict = {"model": my_model}
2025-07-24T04:20:27.5267180Z 
2025-07-24T04:20:27.5267320Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-07-24T04:20:27.5267380Z         ...     "/checkpoint/1"
2025-07-24T04:20:27.5267420Z         ... )
2025-07-24T04:20:27.5267550Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-07-24T04:20:27.5267610Z         >>>     state_dict=state_dict,
2025-07-24T04:20:27.5267690Z         >>>     storage_writer=fs_storage_writer,
2025-07-24T04:20:27.5267730Z         >>> )
2025-07-24T04:20:27.5267780Z         >>>
2025-07-24T04:20:27.5267840Z         >>> # ... do some work ...
2025-07-24T04:20:27.5267880Z         >>>
2025-07-24T04:20:27.5267950Z         >>> checkpoint_future.result()
2025-07-24T04:20:27.5267950Z 
2025-07-24T04:20:27.5267990Z     
2025-07-24T04:20:27.5268140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5268140Z 
2025-07-24T04:20:27.5268640Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-07-24T04:20:27.5268800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5268800Z 
2025-07-24T04:20:27.5268920Z Load a checkpoint into a distributed state dict in SPMD style.
2025-07-24T04:20:27.5268930Z 
2025-07-24T04:20:27.5269060Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-07-24T04:20:27.5269200Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-07-24T04:20:27.5269330Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-07-24T04:20:27.5269400Z costs).
2025-07-24T04:20:27.5269410Z 
2025-07-24T04:20:27.5269520Z Each rank will try to read the least amount of data necessary
2025-07-24T04:20:27.5269660Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-07-24T04:20:27.5269810Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-07-24T04:20:27.5269810Z 
2025-07-24T04:20:27.5269970Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-07-24T04:20:27.5270120Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-07-24T04:20:27.5270370Z ``load_state_dict`` once the deserialization is complete.
2025-07-24T04:20:27.5270530Z For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-07-24T04:20:27.5270660Z it in the ``state_dict`` with the deserialized object.
2025-07-24T04:20:27.5270660Z 
2025-07-24T04:20:27.5270710Z .. warning::
2025-07-24T04:20:27.5270820Z     All tensors in ``state_dict`` must be allocated on their
2025-07-24T04:20:27.5270910Z     destination device *prior to* calling this function.
2025-07-24T04:20:27.5270920Z 
2025-07-24T04:20:27.5271060Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-07-24T04:20:27.5271110Z     on state_dict.
2025-07-24T04:20:27.5271110Z 
2025-07-24T04:20:27.5271160Z .. warning::
2025-07-24T04:20:27.5271290Z     Users must call `load_state_dict` on the root module to ensure load
2025-07-24T04:20:27.5271400Z     pos-processing and non-tensor data properly propagates.
2025-07-24T04:20:27.5271400Z 
2025-07-24T04:20:27.5271440Z .. note:
2025-07-24T04:20:27.5271580Z     If no process group is initialized, this function will assume the intent
2025-07-24T04:20:27.5271720Z     is to load a checkpoint into the local process. This can be useful in the
2025-07-24T04:20:27.5271870Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-07-24T04:20:27.5271930Z      or ShardedTensor)
2025-07-24T04:20:27.5271930Z 
2025-07-24T04:20:27.5271970Z .. note:
2025-07-24T04:20:27.5272060Z     Rank 0 is assumed to be the coordinator rank.
2025-07-24T04:20:27.5272060Z 
2025-07-24T04:20:27.5272100Z Args:
2025-07-24T04:20:27.5272230Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-07-24T04:20:27.5272310Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:27.5272450Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:27.5272570Z         depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:27.5272680Z         It can also be a key if the storage is a key-value store.
2025-07-24T04:20:27.5272730Z         (Default: ``None``)
2025-07-24T04:20:27.5272810Z     storage_reader (Optional[StorageReader]):
2025-07-24T04:20:27.5272930Z         Instance of StorageWriter used to perform reads. If this is not
2025-07-24T04:20:27.5273060Z         specified, DCP will automatically infer the reader based on the
2025-07-24T04:20:27.5273180Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:27.5273250Z         be raised. (Default: ``None``)
2025-07-24T04:20:27.5273310Z     planner (Optional[LoadPlanner]):
2025-07-24T04:20:27.5273510Z         Instance of LoadPlanner. If this is not specified, the default
2025-07-24T04:20:27.5273590Z         planner will be used. (Default: ``None``)
2025-07-24T04:20:27.5273660Z     process_group (Optional[ProcessGroup]):
2025-07-24T04:20:27.5273770Z         ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:27.5273830Z         (Default: ``None``)
2025-07-24T04:20:27.5273970Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-07-24T04:20:27.5274120Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-07-24T04:20:27.5274170Z Returns:
2025-07-24T04:20:27.5274210Z     None.
2025-07-24T04:20:27.5274210Z 
2025-07-24T04:20:27.5274290Z Examples
2025-07-24T04:20:27.5274350Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.5274400Z     >>> my_model = MyModule()
2025-07-24T04:20:27.5274480Z     >>> optimizer = Adagrad(my_model.parameters())
2025-07-24T04:20:27.5274560Z     >>> model_state_dict = my_model.state_dict()
2025-07-24T04:20:27.5274710Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-07-24T04:20:27.5274760Z     ...     "/checkpoint/1"
2025-07-24T04:20:27.5274810Z     ... )
2025-07-24T04:20:27.5274810Z 
2025-07-24T04:20:27.5274910Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-07-24T04:20:27.5274970Z     >>>     state_dict=model_state_dict,
2025-07-24T04:20:27.5275060Z     >>>     storage_reader=fs_storage_reader,
2025-07-24T04:20:27.5275100Z     >>> )
2025-07-24T04:20:27.5275110Z 
2025-07-24T04:20:27.5275230Z     >>> # module.load_state_dict() function might have customized steps
2025-07-24T04:20:27.5275340Z     >>> # to flush the state_dict, must call it to
2025-07-24T04:20:27.5275410Z     >>> # ensure correct behavior.
2025-07-24T04:20:27.5275490Z     >>> my_model.load_state_dict(model_state_dict)
2025-07-24T04:20:27.5275500Z 
2025-07-24T04:20:27.5275540Z .. note::
2025-07-24T04:20:27.5275680Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-07-24T04:20:27.5275810Z     For NCCL-based process groups, internal tensor representations of
2025-07-24T04:20:27.5275950Z     objects must be moved to the GPU device before communication takes place.
2025-07-24T04:20:27.5276080Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-07-24T04:20:27.5276220Z     and it is the user's responsibility to ensure that this is set so that each
2025-07-24T04:20:27.5276330Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-07-24T04:20:27.5276340Z 
2025-07-24T04:20:27.5276490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.5276500Z 
2025-07-24T04:20:27.5276970Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-07-24T04:20:27.5277140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.5277140Z 
2025-07-24T04:20:27.5277270Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-07-24T04:20:27.5277270Z 
2025-07-24T04:20:27.5277370Z This is the current recommended way to checkpoint FSDP.
2025-07-24T04:20:27.5277420Z >>> # xdoctest: +SKIP
2025-07-24T04:20:27.5277520Z >>> import torch.distributed.checkpoint as dist_cp
2025-07-24T04:20:27.5277560Z >>> # Save
2025-07-24T04:20:27.5277620Z >>> model: torch.nn.Model
2025-07-24T04:20:27.5277690Z >>> optim_params = model.parameters()
2025-07-24T04:20:27.5277780Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-07-24T04:20:27.5277830Z >>> # Save
2025-07-24T04:20:27.5277960Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-07-24T04:20:27.5278010Z >>>     state_dict = {
2025-07-24T04:20:27.5278110Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-07-24T04:20:27.5278170Z >>>         "model": model.state_dict()
2025-07-24T04:20:27.5278250Z >>>     }
2025-07-24T04:20:27.5278310Z >>>     dist_cp.save_state_dict(
2025-07-24T04:20:27.5278370Z >>>         state_dict=optim_state,
2025-07-24T04:20:27.5278490Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-07-24T04:20:27.5278570Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-07-24T04:20:27.5278620Z >>>     )
2025-07-24T04:20:27.5278660Z >>>
2025-07-24T04:20:27.5278700Z >>> # Load
2025-07-24T04:20:27.5278840Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-07-24T04:20:27.5278920Z >>>     model_state_dict = model_tp.state_dict()
2025-07-24T04:20:27.5278970Z >>>     checkpoint = {
2025-07-24T04:20:27.5279030Z >>>         "model": model_state_dict
2025-07-24T04:20:27.5279180Z >>>     }
2025-07-24T04:20:27.5279240Z >>>     dist_cp.load_state_dict(
2025-07-24T04:20:27.5279300Z >>>         state_dict=checkpoint,
2025-07-24T04:20:27.5279420Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-07-24T04:20:27.5279500Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-07-24T04:20:27.5279550Z >>>     )
2025-07-24T04:20:27.5279640Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-07-24T04:20:27.5279680Z >>>
2025-07-24T04:20:27.5279790Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-07-24T04:20:27.5279840Z >>>         model_state_dict,
2025-07-24T04:20:27.5279910Z >>>         optimizer_key="optimizer",
2025-07-24T04:20:27.5280090Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-07-24T04:20:27.5280140Z >>>     )
2025-07-24T04:20:27.5280180Z >>>
2025-07-24T04:20:27.5280340Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:27.5280420Z >>>        model, optim, optim_state["optimizer"]
2025-07-24T04:20:27.5280470Z >>>     )
2025-07-24T04:20:27.5280510Z >>>
2025-07-24T04:20:27.5280580Z >>>     optim.load_state_dict(flattened_osd)
2025-07-24T04:20:27.5280580Z 
2025-07-24T04:20:27.5280740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6049440Z 
2025-07-24T04:20:27.6050160Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-07-24T04:20:27.6050340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6050350Z 
2025-07-24T04:20:27.6050510Z RemoteModule instance can only be created after RPC initialization.
2025-07-24T04:20:27.6050510Z 
2025-07-24T04:20:27.6050640Z It creates a user-specified module on a specified remote node.
2025-07-24T04:20:27.6050790Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-07-24T04:20:27.6050870Z executed on the remote node.
2025-07-24T04:20:27.6051060Z It takes care of autograd recording to ensure the backward pass propagates
2025-07-24T04:20:27.6051150Z gradients back to the corresponding remote module.
2025-07-24T04:20:27.6051390Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-07-24T04:20:27.6051520Z without incurring any overheads of copying the actual module,
2025-07-24T04:20:27.6051650Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-07-24T04:20:27.6051710Z pointing to the remote module.
2025-07-24T04:20:27.6051710Z 
2025-07-24T04:20:27.6051850Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-07-24T04:20:27.6051980Z the ``forward`` method of the module returned by the ``module_cls``.
2025-07-24T04:20:27.6051980Z 
2025-07-24T04:20:27.6052180Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-07-24T04:20:27.6052190Z 
2025-07-24T04:20:27.6052350Z Particularly, to create a hybrid model, typically the local modules should be
2025-07-24T04:20:27.6052580Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-07-24T04:20:27.6052630Z Hybrid Example:
2025-07-24T04:20:27.6052990Z         >>> class HybridModel(nn.Module):
2025-07-24T04:20:27.6053060Z         >>>     def __init__(self) -> None:
2025-07-24T04:20:27.6053130Z         >>>         nn.Module.__init__(self)
2025-07-24T04:20:27.6053220Z         >>>         self.remote_embedding = RemoteModule(...)
2025-07-24T04:20:27.6053300Z         >>>         self.local_linear = nn.Linear(...)
2025-07-24T04:20:27.6053310Z 
2025-07-24T04:20:27.6053440Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-07-24T04:20:27.6053590Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-07-24T04:20:27.6053720Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-07-24T04:20:27.6053870Z ``def forward(input: Tensor) -> Tensor:`` and
2025-07-24T04:20:27.6053980Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-07-24T04:20:27.6053980Z 
2025-07-24T04:20:27.6054040Z .. note::
2025-07-24T04:20:27.6054130Z     If the remote module is placed on a cuda device,
2025-07-24T04:20:27.6054270Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-07-24T04:20:27.6054520Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-07-24T04:20:27.6054520Z 
2025-07-24T04:20:27.6054560Z Args:
2025-07-24T04:20:27.6054790Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:27.6054970Z         The device can be a local device or a remote device specified by one of the following remote
2025-07-24T04:20:27.6055020Z         formats:
2025-07-24T04:20:27.6055100Z 
2025-07-24T04:20:27.6055190Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-07-24T04:20:27.6055290Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-07-24T04:20:27.6055300Z 
2025-07-24T04:20:27.6055450Z         In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:27.6055520Z     module_cls (nn.Module): For example,
2025-07-24T04:20:27.6055580Z         >>> class MyModule(nn.Module):
2025-07-24T04:20:27.6055640Z         >>>     def forward(input):
2025-07-24T04:20:27.6055700Z         >>>         return input + 1
2025-07-24T04:20:27.6055740Z         >>>
2025-07-24T04:20:27.6055800Z         >>> module_cls = MyModule
2025-07-24T04:20:27.6055930Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-07-24T04:20:27.6056050Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-07-24T04:20:27.6056220Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-07-24T04:20:27.6056370Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-07-24T04:20:27.6056510Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-07-24T04:20:27.6056650Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-07-24T04:20:27.6056650Z 
2025-07-24T04:20:27.6056700Z Returns:
2025-07-24T04:20:27.6056850Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:27.6056990Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-07-24T04:20:27.6057150Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:27.6057240Z     on the user-provided module on the remote side.
2025-07-24T04:20:27.6057240Z 
2025-07-24T04:20:27.6057290Z Example::
2025-07-24T04:20:27.6057390Z     Run the following code in two different processes:
2025-07-24T04:20:27.6057390Z 
2025-07-24T04:20:27.6057460Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.6057510Z     >>> # On worker 0:
2025-07-24T04:20:27.6057560Z     >>> import torch
2025-07-24T04:20:27.6057630Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6057700Z     >>> from torch import nn, Tensor
2025-07-24T04:20:27.6057830Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:27.6057920Z     >>>
2025-07-24T04:20:27.6058010Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:27.6058080Z     >>> remote_linear_module = RemoteModule(
2025-07-24T04:20:27.6058160Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:27.6058200Z     >>> )
2025-07-24T04:20:27.6058260Z     >>> input = torch.randn(128, 20)
2025-07-24T04:20:27.6058350Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-07-24T04:20:27.6058420Z     >>> ret = ret_fut.wait()
2025-07-24T04:20:27.6058470Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6058470Z 
2025-07-24T04:20:27.6058520Z     >>> # On worker 1:
2025-07-24T04:20:27.6058570Z     >>> import torch
2025-07-24T04:20:27.6058670Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6058720Z     >>>
2025-07-24T04:20:27.6058810Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:27.6058860Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6058860Z 
2025-07-24T04:20:27.6059030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6059030Z 
2025-07-24T04:20:27.6059510Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-07-24T04:20:27.6059710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6059720Z 
2025-07-24T04:20:27.6059910Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-07-24T04:20:27.6059950Z 
2025-07-24T04:20:27.6060150Z This alternate initialization method can be particularly useful if we want to create multiple
2025-07-24T04:20:27.6060360Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-07-24T04:20:27.6060360Z 
2025-07-24T04:20:27.6060530Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-07-24T04:20:27.6060640Z which is not supported. The recommended way is as follows:
2025-07-24T04:20:27.6060640Z 
2025-07-24T04:20:27.6060720Z     1. the sender creates a RemoteModule;
2025-07-24T04:20:27.6060800Z     2. the sender sends its ``module_rref`` over RPC;
2025-07-24T04:20:27.6061010Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-07-24T04:20:27.6061010Z 
2025-07-24T04:20:27.6061060Z Example::
2025-07-24T04:20:27.6061160Z     Run the following code in two different processes:
2025-07-24T04:20:27.6061160Z 
2025-07-24T04:20:27.6061220Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.6061270Z     >>> # On worker 0:
2025-07-24T04:20:27.6061320Z     >>> import torch
2025-07-24T04:20:27.6061390Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6061460Z     >>> from torch import nn, Tensor
2025-07-24T04:20:27.6061590Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:27.6061640Z     >>>
2025-07-24T04:20:27.6061720Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:27.6061790Z     >>> remote_module = RemoteModule(
2025-07-24T04:20:27.6061870Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:27.6061910Z     >>> )
2025-07-24T04:20:27.6061950Z     >>>
2025-07-24T04:20:27.6062010Z     >>> remote_module1 = rpc.rpc_sync(
2025-07-24T04:20:27.6062070Z     >>>     "worker1/cpu",
2025-07-24T04:20:27.6062150Z     >>>     RemoteModule.init_from_module_rref,
2025-07-24T04:20:27.6062240Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-07-24T04:20:27.6062280Z     >>> )
2025-07-24T04:20:27.6062340Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6062340Z 
2025-07-24T04:20:27.6062390Z     >>> # On worker 1:
2025-07-24T04:20:27.6062430Z     >>> import torch
2025-07-24T04:20:27.6062500Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6062550Z     >>>
2025-07-24T04:20:27.6062630Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:27.6062740Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6062740Z 
2025-07-24T04:20:27.6062780Z Args:
2025-07-24T04:20:27.6062960Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:27.6063140Z         The device can be a local device or a remote device specified by one of the following remote
2025-07-24T04:20:27.6063190Z         formats:
2025-07-24T04:20:27.6063190Z 
2025-07-24T04:20:27.6063280Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-07-24T04:20:27.6063380Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-07-24T04:20:27.6063380Z 
2025-07-24T04:20:27.6063530Z         In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:27.6063710Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-07-24T04:20:27.6063780Z         the created remote module.
2025-07-24T04:20:27.6063950Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-07-24T04:20:27.6064090Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-07-24T04:20:27.6064230Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-07-24T04:20:27.6064370Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-07-24T04:20:27.6064370Z 
2025-07-24T04:20:27.6064440Z Returns:
2025-07-24T04:20:27.6064590Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:27.6064770Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-07-24T04:20:27.6064940Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:27.6065030Z     on the user-provided module on the remote side.
2025-07-24T04:20:27.6065040Z 
2025-07-24T04:20:27.6065190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6065200Z 
2025-07-24T04:20:27.6065620Z msg = Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-07-24T04:20:27.6065780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6065780Z 
2025-07-24T04:20:27.6065930Z     A RemoteModule instance can only be created after RPC initialization.
2025-07-24T04:20:27.6065930Z 
2025-07-24T04:20:27.6066050Z     It creates a user-specified module on a specified remote node.
2025-07-24T04:20:27.6066190Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-07-24T04:20:27.6066250Z     executed on the remote node.
2025-07-24T04:20:27.6066400Z     It takes care of autograd recording to ensure the backward pass propagates
2025-07-24T04:20:27.6066490Z     gradients back to the corresponding remote module.
2025-07-24T04:20:27.6066500Z 
2025-07-24T04:20:27.6066630Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-07-24T04:20:27.6066760Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-07-24T04:20:27.6066910Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-07-24T04:20:27.6067030Z     and ``forward`` are the same as the ``forward`` method of the module
2025-07-24T04:20:27.6067090Z     returned by the ``module_cls``.
2025-07-24T04:20:27.6067100Z 
2025-07-24T04:20:27.6067220Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-07-24T04:20:27.6067370Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-07-24T04:20:27.6067510Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-07-24T04:20:27.6067510Z 
2025-07-24T04:20:27.6067590Z     | ``def forward(input: Tensor) -> Tensor:``
2025-07-24T04:20:27.6067690Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-07-24T04:20:27.6067730Z 
2025-07-24T04:20:27.6067780Z Args:
2025-07-24T04:20:27.6067960Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:27.6068160Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-07-24T04:20:27.6068250Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-07-24T04:20:27.6068400Z         In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:27.6068560Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-07-24T04:20:27.6068560Z 
2025-07-24T04:20:27.6068620Z         >>> class MyModule(nn.Module):
2025-07-24T04:20:27.6068710Z         >>>     def forward(input):
2025-07-24T04:20:27.6068760Z         >>>         return input + 1
2025-07-24T04:20:27.6068810Z         >>>
2025-07-24T04:20:27.6068870Z         >>> module_cls = MyModule
2025-07-24T04:20:27.6068870Z 
2025-07-24T04:20:27.6069000Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-07-24T04:20:27.6069110Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-07-24T04:20:27.6069120Z 
2025-07-24T04:20:27.6069160Z Returns:
2025-07-24T04:20:27.6069310Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:27.6069490Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-07-24T04:20:27.6069660Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:27.6069780Z     on the user-provided module on the remote side.
2025-07-24T04:20:27.6069790Z 
2025-07-24T04:20:27.6069840Z Example::
2025-07-24T04:20:27.6069930Z     Run the following code in two different processes:
2025-07-24T04:20:27.6069930Z 
2025-07-24T04:20:27.6070000Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.6070050Z     >>> # On worker 0:
2025-07-24T04:20:27.6070100Z     >>> import torch
2025-07-24T04:20:27.6070170Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6070230Z     >>> from torch import nn, Tensor
2025-07-24T04:20:27.6070370Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:27.6070420Z     >>>
2025-07-24T04:20:27.6070500Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:27.6070570Z     >>> remote_linear_module = RemoteModule(
2025-07-24T04:20:27.6070650Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:27.6070700Z     >>> )
2025-07-24T04:20:27.6070760Z     >>> input = torch.randn(128, 20)
2025-07-24T04:20:27.6070860Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-07-24T04:20:27.6070920Z     >>> ret = ret_fut.wait()
2025-07-24T04:20:27.6070960Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6070970Z 
2025-07-24T04:20:27.6071020Z     >>> # On worker 1:
2025-07-24T04:20:27.6071060Z     >>> import torch
2025-07-24T04:20:27.6071140Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6071180Z     >>>
2025-07-24T04:20:27.6071270Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:27.6071310Z     >>> rpc.shutdown()
2025-07-24T04:20:27.6071310Z 
2025-07-24T04:20:27.6071430Z     Furthermore, a more practical example that is combined with
2025-07-24T04:20:27.6071720Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-07-24T04:20:27.6071920Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-07-24T04:20:27.6071920Z 
2025-07-24T04:20:27.6072080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6233580Z 
2025-07-24T04:20:27.6234210Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-07-24T04:20:27.6234400Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6234510Z 
2025-07-24T04:20:27.6234650Z Initialize rendezvous event object and record its operations.
2025-07-24T04:20:27.6234650Z 
2025-07-24T04:20:27.6234690Z Args:
2025-07-24T04:20:27.6234770Z     run_id (str): The run id of the rendezvous.
2025-07-24T04:20:27.6234860Z     message (str): The message describing the event.
2025-07-24T04:20:27.6235030Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-07-24T04:20:27.6235150Z     name (str): Event name. (E.g. Current action being performed).
2025-07-24T04:20:27.6235220Z     hostname (str): Hostname of the node.
2025-07-24T04:20:27.6235310Z     pid (Optional[int]): The process id of the node.
2025-07-24T04:20:27.6235510Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-07-24T04:20:27.6235680Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-07-24T04:20:27.6235790Z     rank (Optional[int]): The rank of the node, if known.
2025-07-24T04:20:27.6235830Z Returns:
2025-07-24T04:20:27.6235880Z     None
2025-07-24T04:20:27.6235930Z Example:
2025-07-24T04:20:27.6236010Z     >>> # See DynamicRendezvousHandler class
2025-07-24T04:20:27.6236060Z     >>> def _record(
2025-07-24T04:20:27.6236110Z     ...     self,
2025-07-24T04:20:27.6236160Z     ...     message: str,
2025-07-24T04:20:27.6236270Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-07-24T04:20:27.6236330Z     ...     rank: Optional[int] = None,
2025-07-24T04:20:27.6236390Z     ... ) -> None:
2025-07-24T04:20:27.6236500Z     ...     construct_and_record_rdzv_event(
2025-07-24T04:20:27.6236610Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-07-24T04:20:27.6236690Z     ...         run_id=self._settings.run_id,
2025-07-24T04:20:27.6236750Z     ...         message=message,
2025-07-24T04:20:27.6236810Z     ...         node_state=node_state,
2025-07-24T04:20:27.6236890Z     ...         hostname=self._this_node.addr,
2025-07-24T04:20:27.6236950Z     ...         pid=self._this_node.pid,
2025-07-24T04:20:27.6237020Z     ...         local_id=self._this_node.local_id,
2025-07-24T04:20:27.6237080Z     ...         rank=rank,
2025-07-24T04:20:27.6237120Z     ...     )
2025-07-24T04:20:27.6237130Z 
2025-07-24T04:20:27.6237280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6237290Z 
2025-07-24T04:20:27.6237720Z msg = Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-07-24T04:20:27.6237890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6237890Z 
2025-07-24T04:20:27.6238030Z Custom reducer class that can be used to specify a custom operation that
2025-07-24T04:20:27.6238140Z reduces losses of multiple microbatches into one value.
2025-07-24T04:20:27.6238140Z 
2025-07-24T04:20:27.6238180Z Example:
2025-07-24T04:20:27.6238240Z >>> # xdoctest: +SKIP
2025-07-24T04:20:27.6238300Z >>> sum_reducer = _CustomReducer(
2025-07-24T04:20:27.6238350Z >>>     torch.tensor(0.0),
2025-07-24T04:20:27.6238400Z >>>     lambda a, b: a + b
2025-07-24T04:20:27.6238450Z >>> )
2025-07-24T04:20:27.6238450Z 
2025-07-24T04:20:27.6238600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6238600Z 
2025-07-24T04:20:27.6239100Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-07-24T04:20:27.6239260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6239260Z 
2025-07-24T04:20:27.6239380Z Averages parameters periodically after the warm-up stage.
2025-07-24T04:20:27.6239380Z 
2025-07-24T04:20:27.6239540Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-07-24T04:20:27.6239690Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-07-24T04:20:27.6239840Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-07-24T04:20:27.6239840Z 
2025-07-24T04:20:27.6239890Z Args:
2025-07-24T04:20:27.6239980Z     period (int): The number of steps per model averaging.
2025-07-24T04:20:27.6240160Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-07-24T04:20:27.6244560Z                   Otherwise, only DDP needs to be used.
2025-07-24T04:20:27.6244700Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-07-24T04:20:27.6244830Z                         model averaging is skipped.
2025-07-24T04:20:27.6244950Z     process_group: The process group to be used for all-reduce.
2025-07-24T04:20:27.6245040Z                    If ``None``, the default process group, which
2025-07-24T04:20:27.6245160Z                    is created by :func:`torch.distributed.init_process_group`,
2025-07-24T04:20:27.6245240Z                    will be used. (default: ``None``)
2025-07-24T04:20:27.6245240Z 
2025-07-24T04:20:27.6245290Z Example::
2025-07-24T04:20:27.6245290Z 
2025-07-24T04:20:27.6245370Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.6245420Z     >>> import torch
2025-07-24T04:20:27.6245490Z     >>> import torch.distributed as dist
2025-07-24T04:20:27.6245710Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-07-24T04:20:27.6245920Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-07-24T04:20:27.6245980Z     >>> import torch.nn as nn
2025-07-24T04:20:27.6246020Z     >>>
2025-07-24T04:20:27.6246140Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-07-24T04:20:27.6246200Z     >>> torch.cuda.set_device(rank)
2025-07-24T04:20:27.6246280Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-07-24T04:20:27.6246380Z     >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:27.6246470Z     >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:27.6246520Z     >>> )
2025-07-24T04:20:27.6246610Z     >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:27.6246790Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-07-24T04:20:27.6246890Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:27.6246930Z     >>>
2025-07-24T04:20:27.6247100Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-07-24T04:20:27.6247200Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-07-24T04:20:27.6247400Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:27.6247550Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-07-24T04:20:27.6247610Z     >>> for step in range(0, 200):
2025-07-24T04:20:27.6247670Z     >>>    optimizer.zero_grad()
2025-07-24T04:20:27.6247740Z     >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:27.6247790Z     >>>    loss.backward()
2025-07-24T04:20:27.6247850Z     >>>    optimizer.step()
2025-07-24T04:20:27.6247970Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-07-24T04:20:27.6248100Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-07-24T04:20:27.6248180Z     >>>    # the initial ``warmup_steps`` period.
2025-07-24T04:20:27.6248280Z     >>>    averager.average_parameters(model.parameters())
2025-07-24T04:20:27.6248280Z 
2025-07-24T04:20:27.6248430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6248440Z 
2025-07-24T04:20:27.6249000Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-07-24T04:20:27.6249210Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6249210Z 
2025-07-24T04:20:27.6249420Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-07-24T04:20:27.6249420Z 
2025-07-24T04:20:27.6249610Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-07-24T04:20:27.6249730Z by using different periods concurrently after the warm-up stage.
2025-07-24T04:20:27.6249980Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-07-24T04:20:27.6250210Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-07-24T04:20:27.6250410Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-07-24T04:20:27.6250620Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-07-24T04:20:27.6250800Z Similarly, the process groups within this class do not have such an intra-machine process
2025-07-24T04:20:27.6250970Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-07-24T04:20:27.6250970Z 
2025-07-24T04:20:27.6251010Z Args:
2025-07-24T04:20:27.6251190Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-07-24T04:20:27.6251330Z                             process group size, used for initializing process groups of
2025-07-24T04:20:27.6251510Z                             different sizes in a hierarchy to average parameters concurrently.
2025-07-24T04:20:27.6251650Z                             Particularly, at each iteration, there will be at most a single
2025-07-24T04:20:27.6251800Z                             process group that runs averaging -- the period of such group should
2025-07-24T04:20:27.6251930Z                             have the largest period which the current step can be divided by.
2025-07-24T04:20:27.6252040Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-07-24T04:20:27.6252170Z                             then this means totally three process groups will be created to
2025-07-24T04:20:27.6252300Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-07-24T04:20:27.6252420Z                             At the 4th iteration, only the second process group will run
2025-07-24T04:20:27.6252540Z                             averaging, because the first process group should be a
2025-07-24T04:20:27.6252680Z                             subset of the second process group, and no need to execute the first
2025-07-24T04:20:27.6252760Z                             process group redundantly.
2025-07-24T04:20:27.6252880Z                             On the other hand, the third process group can only be triggered
2025-07-24T04:20:27.6253020Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-07-24T04:20:27.6253210Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-07-24T04:20:27.6253470Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-07-24T04:20:27.6253590Z                                             If ``None``, the default process group, which is created
2025-07-24T04:20:27.6253740Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-07-24T04:20:27.6253820Z                                             (default: ``None``)
2025-07-24T04:20:27.6253830Z 
2025-07-24T04:20:27.6253870Z Example::
2025-07-24T04:20:27.6253940Z     >>> # xdoctest: +SKIP('undefined rank')
2025-07-24T04:20:27.6254010Z     >>> from collections import OrderedDict
2025-07-24T04:20:27.6254060Z     >>> import torch
2025-07-24T04:20:27.6254160Z     >>> import torch.distributed as dist
2025-07-24T04:20:27.6254330Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-07-24T04:20:27.6254390Z     >>>     PostLocalSGDState,
2025-07-24T04:20:27.6254450Z     >>>     post_localSGD_hook,
2025-07-24T04:20:27.6254500Z     >>> )
2025-07-24T04:20:27.6254720Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-07-24T04:20:27.6254780Z     >>> import torch.nn as nn
2025-07-24T04:20:27.6254820Z     >>>
2025-07-24T04:20:27.6254930Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-07-24T04:20:27.6255000Z     >>> torch.cuda.set_device(rank)
2025-07-24T04:20:27.6255110Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-07-24T04:20:27.6255200Z     >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:27.6255280Z     >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:27.6255330Z     >>> )
2025-07-24T04:20:27.6255420Z     >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:27.6255590Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-07-24T04:20:27.6255660Z     >>> subgroup, _ = dist.new_subgroups()
2025-07-24T04:20:27.6255840Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-07-24T04:20:27.6255960Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:27.6256010Z     >>>
2025-07-24T04:20:27.6256180Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-07-24T04:20:27.6256280Z     >>> # the 16 processes every 16 iterations.
2025-07-24T04:20:27.6256400Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-07-24T04:20:27.6256550Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-07-24T04:20:27.6256740Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:27.6256910Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-07-24T04:20:27.6257010Z     >>> # After 100 steps, run model averaging at two levels.
2025-07-24T04:20:27.6257070Z     >>> for step in range(0, 200):
2025-07-24T04:20:27.6257130Z     >>>    optimizer.zero_grad()
2025-07-24T04:20:27.6257200Z     >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:27.6257250Z     >>>    loss.backward()
2025-07-24T04:20:27.6257310Z     >>>    optimizer.step()
2025-07-24T04:20:27.6257400Z     >>>    # Average parameters after ``optimizer.step()``.
2025-07-24T04:20:27.6257580Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-07-24T04:20:27.6257670Z     >>>    averager.average_parameters(model.parameters())
2025-07-24T04:20:27.6257680Z 
2025-07-24T04:20:27.6257720Z .. warning ::
2025-07-24T04:20:27.6257880Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-07-24T04:20:27.6258020Z     which indicates model averaging at the highest level of the hierarchy.
2025-07-24T04:20:27.6258210Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-07-24T04:20:27.6258210Z 
2025-07-24T04:20:27.6258250Z .. warning ::
2025-07-24T04:20:27.6258400Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-07-24T04:20:27.6258400Z 
2025-07-24T04:20:27.6258550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6705440Z 
2025-07-24T04:20:27.6706110Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-07-24T04:20:27.6706320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6706320Z 
2025-07-24T04:20:27.6706520Z Run post-localSGD algorithm.
2025-07-24T04:20:27.6706520Z 
2025-07-24T04:20:27.6706670Z This DDP communication hook is used for running post-localSGD algorithm,
2025-07-24T04:20:27.6706780Z by combining with a model averaging component (e.g.,
2025-07-24T04:20:27.6706980Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-07-24T04:20:27.6707050Z that runs after the optimizer step.
2025-07-24T04:20:27.6707050Z 
2025-07-24T04:20:27.6707100Z Args:
2025-07-24T04:20:27.6707240Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-07-24T04:20:27.6707420Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-07-24T04:20:27.6707760Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-07-24T04:20:27.6707920Z         Note that since DDP comm hook only supports single process single device mode,
2025-07-24T04:20:27.6708020Z         only exactly one tensor is stored in this bucket.
2025-07-24T04:20:27.6708020Z 
2025-07-24T04:20:27.6708070Z Returns:
2025-07-24T04:20:27.6708220Z     Future handler of the communication, which updates the gradients in place.
2025-07-24T04:20:27.6708220Z 
2025-07-24T04:20:27.6708280Z Example::
2025-07-24T04:20:27.6708330Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.6708500Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-07-24T04:20:27.6708610Z                               start_localSGD_iter=10)
2025-07-24T04:20:27.6708730Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:27.6709000Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-07-24T04:20:27.6709220Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-07-24T04:20:27.6709220Z 
2025-07-24T04:20:27.6709380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6709390Z 
2025-07-24T04:20:27.6709880Z msg = Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-07-24T04:20:27.6710030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6710040Z 
2025-07-24T04:20:27.6710100Z Implement PowerSGD algorithm.
2025-07-24T04:20:27.6710100Z 
2025-07-24T04:20:27.6710240Z This DDP communication hook implements PowerSGD gradient compression
2025-07-24T04:20:27.6710390Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-07-24T04:20:27.6710530Z Once gradient tensors are aggregated across all workers, this hook applies
2025-07-24T04:20:27.6710590Z compression as follows:
2025-07-24T04:20:27.6710600Z 
2025-07-24T04:20:27.6710860Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-07-24T04:20:27.6710860Z 
2025-07-24T04:20:27.6711110Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-07-24T04:20:27.6711110Z 
2025-07-24T04:20:27.6711350Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-07-24T04:20:27.6711350Z 
2025-07-24T04:20:27.6711420Z 2. Handles uncompressed tensors:
2025-07-24T04:20:27.6711420Z 
2025-07-24T04:20:27.6711720Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-07-24T04:20:27.6711720Z 
2025-07-24T04:20:27.6711930Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-07-24T04:20:27.6711930Z 
2025-07-24T04:20:27.6712070Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-07-24T04:20:27.6712100Z 
2025-07-24T04:20:27.6712260Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-07-24T04:20:27.6712450Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-07-24T04:20:27.6712450Z 
2025-07-24T04:20:27.6712550Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-07-24T04:20:27.6712550Z 
2025-07-24T04:20:27.6712610Z     3.3. Allreduces Ps as a batch;
2025-07-24T04:20:27.6712620Z 
2025-07-24T04:20:27.6712680Z     3.4. Orthogonalizes each P in Ps;
2025-07-24T04:20:27.6712690Z 
2025-07-24T04:20:27.6712810Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-07-24T04:20:27.6712810Z 
2025-07-24T04:20:27.6712900Z     3.6. Allreduces Qs as a batch;
2025-07-24T04:20:27.6712910Z 
2025-07-24T04:20:27.6713080Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-07-24T04:20:27.6713080Z 
2025-07-24T04:20:27.6713330Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-07-24T04:20:27.6713500Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-07-24T04:20:27.6713750Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-07-24T04:20:27.6713760Z 
2025-07-24T04:20:27.6713800Z Args:
2025-07-24T04:20:27.6714090Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-07-24T04:20:27.6714330Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-07-24T04:20:27.6714410Z         and ``min_compression_rate``.
2025-07-24T04:20:27.6714650Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-07-24T04:20:27.6714810Z         Note that since DDP comm hook only supports single process single device mode,
2025-07-24T04:20:27.6714910Z         only exactly one tensor is stored in this bucket.
2025-07-24T04:20:27.6714910Z 
2025-07-24T04:20:27.6714960Z Returns:
2025-07-24T04:20:27.6715110Z     Future handler of the communication, which updates the gradients in place.
2025-07-24T04:20:27.6715110Z 
2025-07-24T04:20:27.6715160Z Example::
2025-07-24T04:20:27.6715210Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.6715380Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-07-24T04:20:27.6715480Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-07-24T04:20:27.6715580Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-07-24T04:20:27.6715590Z 
2025-07-24T04:20:27.6715740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6715740Z 
2025-07-24T04:20:27.6716220Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-07-24T04:20:27.6716380Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6716380Z 
2025-07-24T04:20:27.6716620Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-07-24T04:20:27.6716710Z This optimizer runs local optimizer at every step.
2025-07-24T04:20:27.6716920Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-07-24T04:20:27.6716920Z 
2025-07-24T04:20:27.6716970Z Args:
2025-07-24T04:20:27.6717030Z     optim: The local optimizer.
2025-07-24T04:20:27.6717170Z     averager: A model averager instance to run post-localSGD algorithm.
2025-07-24T04:20:27.6717170Z 
2025-07-24T04:20:27.6717210Z Example::
2025-07-24T04:20:27.6717220Z 
2025-07-24T04:20:27.6717290Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.6717380Z     >>> import torch
2025-07-24T04:20:27.6717450Z     >>> import torch.distributed as dist
2025-07-24T04:20:27.6717620Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-07-24T04:20:27.6717680Z     >>> import torch.nn as nn
2025-07-24T04:20:27.6717800Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-07-24T04:20:27.6717960Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-07-24T04:20:27.6718020Z     >>>   PostLocalSGDState,
2025-07-24T04:20:27.6718080Z     >>>   post_localSGD_hook,
2025-07-24T04:20:27.6718120Z     >>> )
2025-07-24T04:20:27.6718170Z     >>>
2025-07-24T04:20:27.6718260Z     >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:27.6718380Z     >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:27.6718430Z     >>> )
2025-07-24T04:20:27.6718470Z     >>>
2025-07-24T04:20:27.6718560Z     >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:27.6718740Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-07-24T04:20:27.6718840Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:27.6718880Z     >>>
2025-07-24T04:20:27.6719010Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-07-24T04:20:27.6719160Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-07-24T04:20:27.6719280Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:27.6719420Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-07-24T04:20:27.6719530Z     >>> opt = PostLocalSGDOptimizer(
2025-07-24T04:20:27.6719590Z     >>>     optim=local_optim,
2025-07-24T04:20:27.6719740Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-07-24T04:20:27.6719790Z     >>> )
2025-07-24T04:20:27.6719830Z     >>>
2025-07-24T04:20:27.6719970Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-07-24T04:20:27.6720160Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-07-24T04:20:27.6720390Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-07-24T04:20:27.6720450Z     >>> for step in range(0, 200):
2025-07-24T04:20:27.6720500Z     >>>    opt.zero_grad()
2025-07-24T04:20:27.6720570Z     >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:27.6720620Z     >>>    loss.backward()
2025-07-24T04:20:27.6720680Z     >>>    opt.step()
2025-07-24T04:20:27.6720680Z 
2025-07-24T04:20:27.6720840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6720840Z 
2025-07-24T04:20:27.6721280Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-07-24T04:20:27.6721440Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6721440Z 
2025-07-24T04:20:27.6721580Z DistributedOptimizer takes remote references to parameters scattered
2025-07-24T04:20:27.6721730Z across workers and applies the given optimizer locally for each parameter.
2025-07-24T04:20:27.6721730Z 
2025-07-24T04:20:27.6721880Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-07-24T04:20:27.6721970Z to retrieve the gradients for specific parameters.
2025-07-24T04:20:27.6721970Z 
2025-07-24T04:20:27.6722030Z Concurrent calls to
2025-07-24T04:20:27.6722160Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-07-24T04:20:27.6722240Z either from the same or different clients, will
2025-07-24T04:20:27.6722380Z be serialized on each worker -- as each worker's optimizer can only work
2025-07-24T04:20:27.6722510Z on one set of gradients at a time. However, there is no guarantee that
2025-07-24T04:20:27.6722650Z the full forward-backward-optimizer sequence will execute for one client
2025-07-24T04:20:27.6722830Z at a time. This means that the gradients being applied may not correspond
2025-07-24T04:20:27.6722960Z to the latest forward pass executed on a given worker. Also, there is no
2025-07-24T04:20:27.6723030Z guaranteed ordering across workers.
2025-07-24T04:20:27.6723030Z 
2025-07-24T04:20:27.6723190Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-07-24T04:20:27.6723330Z by default, so that optimizer updates are not blocked by the Python Global
2025-07-24T04:20:27.6723480Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-07-24T04:20:27.6723620Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-07-24T04:20:27.6723800Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-07-24T04:20:27.6723870Z for your own custom optimizers.
2025-07-24T04:20:27.6723870Z 
2025-07-24T04:20:27.6723920Z Args:
2025-07-24T04:20:27.6724040Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-07-24T04:20:27.6724110Z         instantiate on each worker.
2025-07-24T04:20:27.6724230Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-07-24T04:20:27.6724290Z         to optimize.
2025-07-24T04:20:27.6724420Z     args: arguments to pass to the optimizer constructor on each worker.
2025-07-24T04:20:27.6724580Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-07-24T04:20:27.6724580Z 
2025-07-24T04:20:27.6724630Z Example::
2025-07-24T04:20:27.6724700Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.6724830Z     >>> import torch.distributed.autograd as dist_autograd
2025-07-24T04:20:27.6724910Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:27.6724970Z     >>> from torch import optim
2025-07-24T04:20:27.6725080Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-07-24T04:20:27.6725120Z     >>>
2025-07-24T04:20:27.6725210Z     >>> with dist_autograd.context() as context_id:
2025-07-24T04:20:27.6725260Z     >>>   # Forward pass.
2025-07-24T04:20:27.6725390Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-07-24T04:20:27.6725510Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-07-24T04:20:27.6725590Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-07-24T04:20:27.6725640Z     >>>
2025-07-24T04:20:27.6725690Z     >>>   # Backward pass.
2025-07-24T04:20:27.6725790Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-07-24T04:20:27.6725830Z     >>>
2025-07-24T04:20:27.6725880Z     >>>   # Optimizer.
2025-07-24T04:20:27.6725950Z     >>>   dist_optim = DistributedOptimizer(
2025-07-24T04:20:27.6726010Z     >>>      optim.SGD,
2025-07-24T04:20:27.6726060Z     >>>      [rref1, rref2],
2025-07-24T04:20:27.6726100Z     >>>      lr=0.05,
2025-07-24T04:20:27.6726150Z     >>>   )
2025-07-24T04:20:27.6726210Z     >>>   dist_optim.step(context_id)
2025-07-24T04:20:27.6726210Z 
2025-07-24T04:20:27.6726310Z __ https://github.com/pytorch/tutorials/pull/1465
2025-07-24T04:20:27.6726310Z 
2025-07-24T04:20:27.6726460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6884080Z 
2025-07-24T04:20:27.6884830Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-07-24T04:20:27.6885030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6885040Z 
2025-07-24T04:20:27.6885300Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-07-24T04:20:27.6885300Z 
2025-07-24T04:20:27.6885460Z The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-07-24T04:20:27.6885470Z 
2025-07-24T04:20:27.6885560Z The local optimizer instance in each rank is only
2025-07-24T04:20:27.6885900Z responsible for updating approximately ``1 / world_size`` parameters and
2025-07-24T04:20:27.6886040Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-07-24T04:20:27.6886190Z parameters are updated locally, each rank will broadcast its parameters to
2025-07-24T04:20:27.6886310Z all other peers to keep all model replicas in the same state.
2025-07-24T04:20:27.6886430Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-07-24T04:20:27.6886600Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-07-24T04:20:27.6886660Z memory consumption.
2025-07-24T04:20:27.6886660Z 
2025-07-24T04:20:27.6886830Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-07-24T04:20:27.6887040Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-07-24T04:20:27.6887190Z not divided among ranks. The partition is arbitrary and might not match the
2025-07-24T04:20:27.6887270Z the parameter registration or usage order.
2025-07-24T04:20:27.6887280Z 
2025-07-24T04:20:27.6887320Z Arguments:
2025-07-24T04:20:27.6887460Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-07-24T04:20:27.6887580Z         or :class:`dict` s giving all parameters, which will be sharded
2025-07-24T04:20:27.6887640Z         across ranks.
2025-07-24T04:20:27.6887640Z 
2025-07-24T04:20:27.6887690Z Keyword Args:
2025-07-24T04:20:27.6887870Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-07-24T04:20:27.6887920Z         optimizer.
2025-07-24T04:20:27.6888110Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-07-24T04:20:27.6888230Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-07-24T04:20:27.6888330Z         :meth:`torch.distributed.init_process_group`).
2025-07-24T04:20:27.6888470Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-07-24T04:20:27.6888610Z         packed into buckets to speed up communication, and ``param.data``
2025-07-24T04:20:27.6888730Z         fields point to bucket views at different offsets; if ``False``,
2025-07-24T04:20:27.6888850Z         each individual parameter is communicated separately, and each
2025-07-24T04:20:27.6888950Z         ``params.data`` stays intact (default: ``False``).
2025-07-24T04:20:27.6889070Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-07-24T04:20:27.6889190Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-07-24T04:20:27.6889320Z         synchronization; this requires (1) either a functional optimizer
2025-07-24T04:20:27.6889440Z         for the ``optimizer_class`` argument or one with a functional
2025-07-24T04:20:27.6889550Z         equivalent and (2) registering a DDP communication hook
2025-07-24T04:20:27.6889670Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-07-24T04:20:27.6889780Z         parameters are packed into buckets matching those in
2025-07-24T04:20:27.6889880Z         :class:`DistributedDataParallel`, meaning that the
2025-07-24T04:20:27.6889970Z         ``parameters_as_bucket_view`` argument is ignored.
2025-07-24T04:20:27.6890090Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-07-24T04:20:27.6890140Z         (per normal).
2025-07-24T04:20:27.6890200Z         (default: ``False``)
2025-07-24T04:20:27.6890330Z     **defaults: any trailing arguments, which are forwarded to the local
2025-07-24T04:20:27.6890380Z         optimizer.
2025-07-24T04:20:27.6890380Z 
2025-07-24T04:20:27.6890440Z Example::
2025-07-24T04:20:27.6890440Z 
2025-07-24T04:20:27.6890490Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.6890550Z     >>> import torch.nn as nn
2025-07-24T04:20:27.6890680Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-07-24T04:20:27.6890800Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-07-24T04:20:27.6890950Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-07-24T04:20:27.6891060Z     >>> ddp = DDP(model, device_ids=[rank])
2025-07-24T04:20:27.6891130Z     >>> opt = ZeroRedundancyOptimizer(
2025-07-24T04:20:27.6891190Z     >>>     ddp.parameters(),
2025-07-24T04:20:27.6891260Z     >>>     optimizer_class=torch.optim.Adam,
2025-07-24T04:20:27.6891310Z     >>>     lr=0.01
2025-07-24T04:20:27.6891350Z     >>> )
2025-07-24T04:20:27.6891420Z     >>> ddp(inputs).sum().backward()
2025-07-24T04:20:27.6891460Z     >>> opt.step()
2025-07-24T04:20:27.6891470Z 
2025-07-24T04:20:27.6891520Z .. warning::
2025-07-24T04:20:27.6891650Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-07-24T04:20:27.6891740Z     passed-in parameters are the same dense type.
2025-07-24T04:20:27.6891770Z 
2025-07-24T04:20:27.6891810Z .. warning::
2025-07-24T04:20:27.6891950Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-07-24T04:20:27.6892070Z     the way that overlapping :class:`DistributedDataParallel` with
2025-07-24T04:20:27.6892220Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-07-24T04:20:27.6892350Z     two or three training iterations do not perform parameter updates in
2025-07-24T04:20:27.6892470Z     the optimizer step, depending on if ``static_graph=False`` or
2025-07-24T04:20:27.6892580Z     ``static_graph=True``, respectively. This is because it needs
2025-07-24T04:20:27.6892820Z     information about the gradient bucketing strategy used by
2025-07-24T04:20:27.6892960Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-07-24T04:20:27.6893110Z     second forward pass if ``static_graph=False`` or until the third
2025-07-24T04:20:27.6893240Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-07-24T04:20:27.6893310Z     is to prepend dummy inputs.
2025-07-24T04:20:27.6893310Z 
2025-07-24T04:20:27.6893470Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-07-24T04:20:27.6893470Z 
2025-07-24T04:20:27.6893620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6893620Z 
2025-07-24T04:20:27.6894180Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=637.
2025-07-24T04:20:27.6894330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6894490Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-07-24T04:20:27.6894490Z 
2025-07-24T04:20:27.6894660Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-07-24T04:20:27.6894790Z         The target module does not have to be a FSDP module. If the target
2025-07-24T04:20:27.6894920Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-07-24T04:20:27.6894920Z 
2025-07-24T04:20:27.6895040Z         .. note:: This API should be called for only the top-level (root)
2025-07-24T04:20:27.6895090Z             module.
2025-07-24T04:20:27.6895090Z 
2025-07-24T04:20:27.6895220Z         .. note:: This API enables users to transparently use the conventional
2025-07-24T04:20:27.6895340Z             ``state_dict`` API to take model checkpoints in cases where the
2025-07-24T04:20:27.6895470Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-07-24T04:20:27.6895600Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-07-24T04:20:27.6895750Z             instances, while dispatching into `sharded_state_dict` implementation
2025-07-24T04:20:27.6895800Z             for FSDP:
2025-07-24T04:20:27.6895800Z 
2025-07-24T04:20:27.6895850Z         Example::
2025-07-24T04:20:27.6895850Z 
2025-07-24T04:20:27.6895930Z             >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.6896000Z             >>> model = DDP(FSDP(...))
2025-07-24T04:20:27.6896110Z             >>> FSDP.set_state_dict_type(
2025-07-24T04:20:27.6896170Z             >>>     model,
2025-07-24T04:20:27.6896250Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-07-24T04:20:27.6896380Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-07-24T04:20:27.6896520Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-07-24T04:20:27.6896570Z             >>> )
2025-07-24T04:20:27.6896650Z             >>> param_state_dict = model.state_dict()
2025-07-24T04:20:27.6896760Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-07-24T04:20:27.6896760Z 
2025-07-24T04:20:27.6896800Z         Args:
2025-07-24T04:20:27.6896910Z             module (torch.nn.Module): Root module.
2025-07-24T04:20:27.6897060Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-07-24T04:20:27.6897210Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-07-24T04:20:27.6897280Z                 target ``state_dict_type``.
2025-07-24T04:20:27.6897430Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-07-24T04:20:27.6897500Z                 for the optimizer state dict.
2025-07-24T04:20:27.6897500Z 
2025-07-24T04:20:27.6897550Z         Returns:
2025-07-24T04:20:27.6897710Z             A StateDictSettings that include the previous state_dict type and
2025-07-24T04:20:27.6897780Z             configuration for the module.
2025-07-24T04:20:27.6897830Z         
2025-07-24T04:20:27.6898020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.6898020Z 
2025-07-24T04:20:27.6898570Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=795.
2025-07-24T04:20:27.6898730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.6898880Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-07-24T04:20:27.6898880Z 
2025-07-24T04:20:27.6899070Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-07-24T04:20:27.6899160Z         :meth:`set_state_dict_type` for the detail.
2025-07-24T04:20:27.6899160Z 
2025-07-24T04:20:27.6899210Z         Example::
2025-07-24T04:20:27.6899210Z 
2025-07-24T04:20:27.6899290Z             >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.6899350Z             >>> model = DDP(FSDP(...))
2025-07-24T04:20:27.6899430Z             >>> with FSDP.state_dict_type(
2025-07-24T04:20:27.6899480Z             >>>     model,
2025-07-24T04:20:27.6899560Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-07-24T04:20:27.6899610Z             >>> ):
2025-07-24T04:20:27.6899680Z             >>>     checkpoint = model.state_dict()
2025-07-24T04:20:27.6899690Z 
2025-07-24T04:20:27.6899730Z         Args:
2025-07-24T04:20:27.6899810Z             module (torch.nn.Module): Root module.
2025-07-24T04:20:27.6899960Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-07-24T04:20:27.6900100Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-07-24T04:20:27.6900200Z                 configuration for the target ``state_dict_type``.
2025-07-24T04:20:27.6900350Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-07-24T04:20:27.6900470Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-07-24T04:20:27.6900520Z         
2025-07-24T04:20:27.6900670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.7487580Z 
2025-07-24T04:20:27.7488330Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1808.
2025-07-24T04:20:27.7488740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.7488750Z 
2025-07-24T04:20:27.7488900Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-07-24T04:20:27.7488900Z 
2025-07-24T04:20:27.7489040Z The given state-dict can be transformed to one of three types:
2025-07-24T04:20:27.7489240Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-07-24T04:20:27.7489240Z 
2025-07-24T04:20:27.7489390Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-07-24T04:20:27.7489590Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-07-24T04:20:27.7489650Z avoid OOM.
2025-07-24T04:20:27.7489650Z 
2025-07-24T04:20:27.7489800Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-07-24T04:20:27.7489930Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-07-24T04:20:27.7489980Z memory.
2025-07-24T04:20:27.7489980Z 
2025-07-24T04:20:27.7490120Z For local state_dict, no transformation will be performed. But a state
2025-07-24T04:20:27.7490270Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-07-24T04:20:27.7490340Z nature (this is not supported yet).
2025-07-24T04:20:27.7490350Z 
2025-07-24T04:20:27.7490470Z Example::
2025-07-24T04:20:27.7490470Z 
2025-07-24T04:20:27.7490560Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.7490790Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:27.7490900Z     >>> from torch.distributed.fsdp import StateDictType
2025-07-24T04:20:27.7491010Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-07-24T04:20:27.7491140Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-07-24T04:20:27.7491200Z     >>> # Save a checkpoint
2025-07-24T04:20:27.7491260Z     >>> model, optim = ...
2025-07-24T04:20:27.7491320Z     >>> FSDP.set_state_dict_type(
2025-07-24T04:20:27.7491370Z     >>>     model,
2025-07-24T04:20:27.7491440Z     >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:27.7491520Z     >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7491620Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7491660Z     >>> )
2025-07-24T04:20:27.7491740Z     >>> state_dict = model.state_dict()
2025-07-24T04:20:27.7491840Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-07-24T04:20:27.7491930Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-07-24T04:20:27.7492030Z     >>> # Load a checkpoint
2025-07-24T04:20:27.7492080Z     >>> model, optim = ...
2025-07-24T04:20:27.7492180Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-07-24T04:20:27.7492240Z     >>> FSDP.set_state_dict_type(
2025-07-24T04:20:27.7492290Z     >>>     model,
2025-07-24T04:20:27.7492360Z     >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:27.7492440Z     >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7492530Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7492580Z     >>> )
2025-07-24T04:20:27.7492640Z     >>> model.load_state_dict(state_dict)
2025-07-24T04:20:27.7492740Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:27.7492800Z     >>>     model, optim, optim_state_dict
2025-07-24T04:20:27.7492850Z     >>> )
2025-07-24T04:20:27.7492930Z     >>> optim.load_state_dict(optim_state_dict)
2025-07-24T04:20:27.7492930Z 
2025-07-24T04:20:27.7492970Z Args:
2025-07-24T04:20:27.7493100Z     model (torch.nn.Module): Root module (which may or may not be a
2025-07-24T04:20:27.7493230Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-07-24T04:20:27.7493320Z         were passed into the optimizer ``optim``.
2025-07-24T04:20:27.7493440Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-07-24T04:20:27.7493530Z         parameters.
2025-07-24T04:20:27.7493670Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-07-24T04:20:27.7493790Z         transform. If the value is None, optim.state_dict() will be used. (
2025-07-24T04:20:27.7493850Z         Default: ``None``)
2025-07-24T04:20:27.7494000Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-07-24T04:20:27.7494120Z         are sharded or ``None`` if using the default process group. (
2025-07-24T04:20:27.7494170Z         Default: ``None``)
2025-07-24T04:20:27.7494170Z 
2025-07-24T04:20:27.7494220Z Returns:
2025-07-24T04:20:27.7494340Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-07-24T04:20:27.7494480Z     ``model``. The sharding of the optimizer state is based on
2025-07-24T04:20:27.7494540Z     ``state_dict_type``.
2025-07-24T04:20:27.7494540Z 
2025-07-24T04:20:27.7494690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.7494700Z 
2025-07-24T04:20:27.7495250Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1906.
2025-07-24T04:20:27.7495410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.7495410Z 
2025-07-24T04:20:27.7495640Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-07-24T04:20:27.7495650Z 
2025-07-24T04:20:27.7495800Z Given a ``optim_state_dict`` that is transformed through
2025-07-24T04:20:27.7495930Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-07-24T04:20:27.7496060Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-07-24T04:20:27.7496180Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-07-24T04:20:27.7496180Z 
2025-07-24T04:20:27.7496270Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.7496410Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:27.7496510Z     >>> from torch.distributed.fsdp import StateDictType
2025-07-24T04:20:27.7496610Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-07-24T04:20:27.7496740Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-07-24T04:20:27.7496800Z     >>> # Save a checkpoint
2025-07-24T04:20:27.7496850Z     >>> model, optim = ...
2025-07-24T04:20:27.7496910Z     >>> FSDP.set_state_dict_type(
2025-07-24T04:20:27.7496960Z     >>>     model,
2025-07-24T04:20:27.7497020Z     >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:27.7497110Z     >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7497190Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7497240Z     >>> )
2025-07-24T04:20:27.7497300Z     >>> state_dict = model.state_dict()
2025-07-24T04:20:27.7497370Z     >>> original_osd = optim.state_dict()
2025-07-24T04:20:27.7497450Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-07-24T04:20:27.7497490Z     >>>     model,
2025-07-24T04:20:27.7497540Z     >>>     optim,
2025-07-24T04:20:27.7497600Z     >>>     optim_state_dict=original_osd
2025-07-24T04:20:27.7497640Z     >>> )
2025-07-24T04:20:27.7497740Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-07-24T04:20:27.7503690Z     >>> # Load a checkpoint
2025-07-24T04:20:27.7503760Z     >>> model, optim = ...
2025-07-24T04:20:27.7503860Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-07-24T04:20:27.7503920Z     >>> FSDP.set_state_dict_type(
2025-07-24T04:20:27.7503970Z     >>>     model,
2025-07-24T04:20:27.7504030Z     >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:27.7504110Z     >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7504200Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:27.7504310Z     >>> )
2025-07-24T04:20:27.7504380Z     >>> model.load_state_dict(state_dict)
2025-07-24T04:20:27.7504470Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:27.7504530Z     >>>     model, optim, optim_state_dict
2025-07-24T04:20:27.7504570Z     >>> )
2025-07-24T04:20:27.7504650Z     >>> optim.load_state_dict(optim_state_dict)
2025-07-24T04:20:27.7504650Z 
2025-07-24T04:20:27.7504690Z Args:
2025-07-24T04:20:27.7504820Z     model (torch.nn.Module): Root module (which may or may not be a
2025-07-24T04:20:27.7504950Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-07-24T04:20:27.7505030Z         were passed into the optimizer ``optim``.
2025-07-24T04:20:27.7505140Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-07-24T04:20:27.7505220Z         parameters.
2025-07-24T04:20:27.7505350Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-07-24T04:20:27.7505470Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-07-24T04:20:27.7505590Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-07-24T04:20:27.7505700Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-07-24T04:20:27.7505830Z     load_directly (bool): If this is set to True, this API will also
2025-07-24T04:20:27.7505950Z         call optim.load_state_dict(result) before returning the result.
2025-07-24T04:20:27.7506120Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-07-24T04:20:27.7506180Z         (Default: ``False``)
2025-07-24T04:20:27.7506360Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-07-24T04:20:27.7506480Z         are sharded or ``None`` if using the default process group. (
2025-07-24T04:20:27.7506530Z         Default: ``None``)
2025-07-24T04:20:27.7506530Z 
2025-07-24T04:20:27.7506690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.7506690Z 
2025-07-24T04:20:27.7507090Z msg = Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-07-24T04:20:27.7507250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.7507250Z 
2025-07-24T04:20:27.7507360Z This configures FSDP-native mixed precision training.
2025-07-24T04:20:27.7507360Z 
2025-07-24T04:20:27.7507400Z Attributes:
2025-07-24T04:20:27.7507550Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-07-24T04:20:27.7507700Z         parameters during forward and backward and thus the dtype for
2025-07-24T04:20:27.7507830Z         forward and backward computation. Outside forward and backward, the
2025-07-24T04:20:27.7507960Z         *sharded* parameters are kept in full precision (e.g. for the
2025-07-24T04:20:27.7508090Z         optimizer step), and for model checkpointing, the parameters are
2025-07-24T04:20:27.7508180Z         always saved in full precision. (Default: ``None``)
2025-07-24T04:20:27.7508310Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-07-24T04:20:27.7508440Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-07-24T04:20:27.7508560Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-07-24T04:20:27.7508680Z         the ``param_dtype`` value, still running gradient reduction in low
2025-07-24T04:20:27.7508810Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-07-24T04:20:27.7508940Z         to force gradient reduction to run in full precision. (Default:
2025-07-24T04:20:27.7508990Z         ``None``)
2025-07-24T04:20:27.7509120Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-07-24T04:20:27.7509240Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-07-24T04:20:27.7509360Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-07-24T04:20:27.7509540Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-07-24T04:20:27.7509650Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-07-24T04:20:27.7509690Z         ``None``)
2025-07-24T04:20:27.7509820Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-07-24T04:20:27.7509950Z         gradients to full precision after the backward pass in preparation
2025-07-24T04:20:27.7510080Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-07-24T04:20:27.7510200Z         in the dtype used for gradient reduction, which can save memory if
2025-07-24T04:20:27.7510330Z         using a custom optimizer that supports running in low precision.
2025-07-24T04:20:27.7510430Z         (Default: ``False``)
2025-07-24T04:20:27.7510560Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-07-24T04:20:27.7510680Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-07-24T04:20:27.7510810Z         that parameter and input dtypes match for forward computation, as
2025-07-24T04:20:27.7510930Z         required by many ops. This may need to be set to ``True`` when only
2025-07-24T04:20:27.7511070Z         applying mixed precision to some but not all FSDP modules, in which
2025-07-24T04:20:27.7511200Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-07-24T04:20:27.7511260Z         (Default: ``False``)
2025-07-24T04:20:27.7511420Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-07-24T04:20:27.7511600Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-07-24T04:20:27.7511710Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-07-24T04:20:27.7511800Z         this does not do anything. (Default: ``True``)
2025-07-24T04:20:27.7511930Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-07-24T04:20:27.7512040Z         module classes to ignore for mixed precision when using an
2025-07-24T04:20:27.7512170Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-07-24T04:20:27.7512290Z         applied to them separately with mixed precision disabled (meaning
2025-07-24T04:20:27.7512410Z         that the final FSDP construction would deviate from the specified
2025-07-24T04:20:27.7512530Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-07-24T04:20:27.7512660Z         not do anything. This API is experimental and subject to change.
2025-07-24T04:20:27.7512710Z         (Default: ``(_BatchNorm,)``)
2025-07-24T04:20:27.7512720Z 
2025-07-24T04:20:27.7512820Z .. note:: This API is experimental and subject to change.
2025-07-24T04:20:27.7512830Z 
2025-07-24T04:20:27.7512960Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-07-24T04:20:27.7512960Z 
2025-07-24T04:20:27.7513080Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-07-24T04:20:27.7513140Z     precision, but buffers are not.
2025-07-24T04:20:27.7513150Z 
2025-07-24T04:20:27.7513270Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-07-24T04:20:27.7513400Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-07-24T04:20:27.7513540Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-07-24T04:20:27.7513670Z     the affine parameters are kept in ``float32``. However, this incurs
2025-07-24T04:20:27.7513810Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-07-24T04:20:27.7513950Z     may be inefficient, so if the workload permits, the user should prefer
2025-07-24T04:20:27.7514040Z     to still apply mixed precision to those modules.
2025-07-24T04:20:27.7514040Z 
2025-07-24T04:20:27.7514170Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-07-24T04:20:27.7514290Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-07-24T04:20:27.7514430Z     modules will have FSDP applied to them separately with mixed precision
2025-07-24T04:20:27.7514570Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-07-24T04:20:27.7514580Z 
2025-07-24T04:20:27.7514700Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-07-24T04:20:27.7514830Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-07-24T04:20:27.7514940Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-07-24T04:20:27.7515050Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-07-24T04:20:27.7515180Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-07-24T04:20:27.7515320Z     sufficient for the typical case where each FSDP instance has the same
2025-07-24T04:20:27.7515470Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-07-24T04:20:27.7515580Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-07-24T04:20:27.7515580Z 
2025-07-24T04:20:27.7515710Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-07-24T04:20:27.7515860Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-07-24T04:20:27.7515980Z     values to configure casting inputs or not before each instance's
2025-07-24T04:20:27.7516100Z     forward. In such a case, since the casts happen before each FSDP
2025-07-24T04:20:27.7516250Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-07-24T04:20:27.7516400Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-07-24T04:20:27.7516560Z     being changed due to a different ``MixedPrecision`` configuration.
2025-07-24T04:20:27.7516560Z 
2025-07-24T04:20:27.7516610Z     Example::
2025-07-24T04:20:27.7516610Z 
2025-07-24T04:20:27.7516700Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.7516800Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-07-24T04:20:27.7516860Z         >>> model[1] = FSDP(
2025-07-24T04:20:27.7516910Z         >>>     model[1],
2025-07-24T04:20:27.7517100Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-07-24T04:20:27.7517150Z         >>> )
2025-07-24T04:20:27.7517200Z         >>> model = FSDP(
2025-07-24T04:20:27.7517250Z         >>>     model,
2025-07-24T04:20:27.7517430Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-07-24T04:20:27.7517480Z         >>> )
2025-07-24T04:20:27.7517480Z 
2025-07-24T04:20:27.7517610Z     The above shows a working example. On the other hand, if ``model[1]``
2025-07-24T04:20:27.7517740Z     were replaced with ``model[0]``, meaning that the submodule using
2025-07-24T04:20:27.7517880Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-07-24T04:20:27.7518010Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-07-24T04:20:27.7518050Z     ones.
2025-07-24T04:20:27.7518050Z 
2025-07-24T04:20:27.7518060Z 
2025-07-24T04:20:27.7518210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.7995000Z 
2025-07-24T04:20:27.7995640Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-07-24T04:20:27.7996310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.7996320Z 
2025-07-24T04:20:27.7996460Z ``FullStateDictConfig`` is a config class meant to be used with
2025-07-24T04:20:27.7996580Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-07-24T04:20:27.7996720Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-07-24T04:20:27.7996860Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-07-24T04:20:27.7996990Z is meant to be used via the :func:`state_dict_type` context manager as
2025-07-24T04:20:27.7997180Z follows:
2025-07-24T04:20:27.7997180Z 
2025-07-24T04:20:27.7997260Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:27.7997410Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:27.7997490Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-07-24T04:20:27.7997620Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-07-24T04:20:27.7997760Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-07-24T04:20:27.7997830Z     >>>     state = fsdp.state_dict()
2025-07-24T04:20:27.7997960Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-07-24T04:20:27.7998150Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-07-24T04:20:27.7998360Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-07-24T04:20:27.7998430Z     >>> if dist.get_rank() == 0:
2025-07-24T04:20:27.7998550Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-07-24T04:20:27.7998640Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-07-24T04:20:27.7998710Z     >>>     model.load_state_dict(state_dict)
2025-07-24T04:20:27.7998860Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-07-24T04:20:27.7999010Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-07-24T04:20:27.7999100Z     >>> fsdp = FSDP(
2025-07-24T04:20:27.7999150Z     ...     model,
2025-07-24T04:20:27.7999230Z     ...     device_id=torch.cuda.current_device(),
2025-07-24T04:20:27.7999350Z     ...     auto_wrap_policy=...,
2025-07-24T04:20:27.7999420Z     ...     sync_module_states=True,
2025-07-24T04:20:27.7999460Z     ... )
2025-07-24T04:20:27.7999600Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-07-24T04:20:27.7999600Z 
2025-07-24T04:20:27.7999650Z Attributes:
2025-07-24T04:20:27.7999780Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-07-24T04:20:27.7999910Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-07-24T04:20:27.8000010Z         ranks save the full state dict. (Default: ``False``)
2025-07-24T04:20:27.8000010Z 
2025-07-24T04:20:27.8000170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8000180Z 
2025-07-24T04:20:27.8000660Z msg = Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-07-24T04:20:27.8000820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8000830Z 
2025-07-24T04:20:27.8000980Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-07-24T04:20:27.8001070Z Needs to be called on all ranks in an SPMD fashion.
2025-07-24T04:20:27.8001080Z 
2025-07-24T04:20:27.8001120Z Args:
2025-07-24T04:20:27.8001300Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-07-24T04:20:27.8001410Z         of shards that represent the local shards on this rank.
2025-07-24T04:20:27.8001550Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-07-24T04:20:27.8001630Z         shape of the overall sharded tensor.
2025-07-24T04:20:27.8001640Z 
2025-07-24T04:20:27.8001680Z Keyword args:
2025-07-24T04:20:27.8001850Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:27.8001930Z         the default process group will be used.
2025-07-24T04:20:27.8002040Z     init_rrefs (bool, optional): Whether or not to initialize
2025-07-24T04:20:27.8002180Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-07-24T04:20:27.8002300Z         Need to initialize the RPC Framework if specified as ``True``.
2025-07-24T04:20:27.8002360Z         Default: ``False``.
2025-07-24T04:20:27.8002390Z 
2025-07-24T04:20:27.8002440Z Returns:
2025-07-24T04:20:27.8002540Z     A :class:`ShardedTensor` object handle on this rank
2025-07-24T04:20:27.8002540Z 
2025-07-24T04:20:27.8002540Z 
2025-07-24T04:20:27.8002590Z Examples:
2025-07-24T04:20:27.8002750Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-07-24T04:20:27.8002870Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-07-24T04:20:27.8002880Z 
2025-07-24T04:20:27.8002920Z     on rank 0:
2025-07-24T04:20:27.8003000Z     >>> # xdoctest: +SKIP("not distributed")
2025-07-24T04:20:27.8003070Z     >>> local_shard_metadata = ShardMetadata(
2025-07-24T04:20:27.8003140Z     >>>     shard_offsets=[0, 0],
2025-07-24T04:20:27.8003230Z     >>>     shard_lengths=[5, 5],
2025-07-24T04:20:27.8003290Z     >>>     placement="rank:0/cuda:0"
2025-07-24T04:20:27.8003340Z     >>> )
2025-07-24T04:20:27.8003460Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-07-24T04:20:27.8003590Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-07-24T04:20:27.8003600Z 
2025-07-24T04:20:27.8003640Z     on rank 1:
2025-07-24T04:20:27.8003720Z     >>> # xdoctest: +SKIP("not distributed")
2025-07-24T04:20:27.8003790Z     >>> local_shard_metadata = ShardMetadata(
2025-07-24T04:20:27.8003860Z     >>>     shard_offsets=[5, 0],
2025-07-24T04:20:27.8003910Z     >>>     shard_lengths=[5, 5],
2025-07-24T04:20:27.8004020Z     >>>     placement="rank:1/cuda:1"
2025-07-24T04:20:27.8004060Z     >>> )
2025-07-24T04:20:27.8004190Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-07-24T04:20:27.8004340Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-07-24T04:20:27.8004350Z 
2025-07-24T04:20:27.8004510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8004510Z 
2025-07-24T04:20:27.8005020Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-07-24T04:20:27.8005190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8005190Z 
2025-07-24T04:20:27.8005350Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-07-24T04:20:27.8005420Z size and sharding spec on each rank.
2025-07-24T04:20:27.8005430Z 
2025-07-24T04:20:27.8005470Z Args:
2025-07-24T04:20:27.8005620Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-07-24T04:20:27.8005780Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-07-24T04:20:27.8005890Z         The specification describing how to shard the Tensor.
2025-07-24T04:20:27.8006000Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-07-24T04:20:27.8006160Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-07-24T04:20:27.8006210Z         Default: None
2025-07-24T04:20:27.8006320Z     init_rrefs (bool, optional): Whether or not to initialize
2025-07-24T04:20:27.8006450Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-07-24T04:20:27.8006580Z         Need to initialize the RPC Framework if specified as ``True``.
2025-07-24T04:20:27.8006640Z         Default: ``False``.
2025-07-24T04:20:27.8006640Z 
2025-07-24T04:20:27.8006690Z Returns:
2025-07-24T04:20:27.8006840Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-07-24T04:20:27.8006910Z         tensor stored in the current rank.
2025-07-24T04:20:27.8006910Z 
2025-07-24T04:20:27.8006970Z Examples:
2025-07-24T04:20:27.8007020Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.8007110Z     >>> # All tensors below are of torch.int64 type.
2025-07-24T04:20:27.8007180Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.8007300Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-07-24T04:20:27.8007470Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-07-24T04:20:27.8007520Z     >>> local_tensor
2025-07-24T04:20:27.8007580Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-07-24T04:20:27.8007640Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-07-24T04:20:27.8007700Z     >>> sharding_dim = 0
2025-07-24T04:20:27.8007770Z     >>> sharding_spec = ChunkShardingSpec(
2025-07-24T04:20:27.8007830Z             dim=sharding_dim,
2025-07-24T04:20:27.8007880Z             placements=[
2025-07-24T04:20:27.8007950Z                 "rank:0/cuda:0",
2025-07-24T04:20:27.8008000Z                 "rank:1/cuda:1",
2025-07-24T04:20:27.8008050Z             ],
2025-07-24T04:20:27.8008090Z         )
2025-07-24T04:20:27.8008200Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-07-24T04:20:27.8008280Z     ...     local_tensor, sharding_spec, [2, 4]
2025-07-24T04:20:27.8008330Z     ... )
2025-07-24T04:20:27.8008380Z     >>> st
2025-07-24T04:20:27.8008430Z     ShardedTensor(
2025-07-24T04:20:27.8008500Z         ShardedTensorMetadata(
2025-07-24T04:20:27.8008550Z             shards_metadata=[
2025-07-24T04:20:27.8008730Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-07-24T04:20:27.8008900Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-07-24T04:20:27.8008940Z             ],
2025-07-24T04:20:27.8009000Z             size=torch.Size([2, 4])
2025-07-24T04:20:27.8009060Z     )
2025-07-24T04:20:27.8009120Z     >>> st.local_tensor()
2025-07-24T04:20:27.8009180Z     tensor([1, 2, 3, 4]) # Rank 0
2025-07-24T04:20:27.8009270Z     tensor([3, 4, 5, 6]) # Rank 1
2025-07-24T04:20:27.8009270Z 
2025-07-24T04:20:27.8009450Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-07-24T04:20:27.8009600Z          rank validations, and we only validate the local shard on the current rank.
2025-07-24T04:20:27.8009730Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-07-24T04:20:27.8009780Z          sharding spec.
2025-07-24T04:20:27.8009780Z 
2025-07-24T04:20:27.8009940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8009940Z 
2025-07-24T04:20:27.8010400Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-07-24T04:20:27.8010560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8010560Z 
2025-07-24T04:20:27.8010720Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-07-24T04:20:27.8010770Z single local shard.
2025-07-24T04:20:27.8010770Z 
2025-07-24T04:20:27.8010910Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-07-24T04:20:27.8011060Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-07-24T04:20:27.8011130Z we swap local shards directly.
2025-07-24T04:20:27.8011290Z For more generic cases, we merge different shards across different ranks and split
2025-07-24T04:20:27.8011440Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-07-24T04:20:27.8011440Z 
2025-07-24T04:20:27.8011480Z Args:
2025-07-24T04:20:27.8011660Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-07-24T04:20:27.8011760Z         specification describing how the tensor is sharded.
2025-07-24T04:20:27.8011760Z 
2025-07-24T04:20:27.8011810Z Returns:
2025-07-24T04:20:27.8011940Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-07-24T04:20:27.8011940Z 
2025-07-24T04:20:27.8011990Z Examples:
2025-07-24T04:20:27.8012040Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:27.8012110Z     >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:27.8012220Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-07-24T04:20:27.8012340Z     >>> tensor = torch.stack([tensor, tensor])
2025-07-24T04:20:27.8012380Z     >>> tensor
2025-07-24T04:20:27.8012460Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-07-24T04:20:27.8012530Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-07-24T04:20:27.8012600Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-07-24T04:20:27.8012670Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-07-24T04:20:27.8012730Z     >>> sharding_dim = 0
2025-07-24T04:20:27.8012790Z     >>> spec = ChunkShardingSpec(
2025-07-24T04:20:27.8012840Z             dim=sharding_dim,
2025-07-24T04:20:27.8012890Z             placements=[
2025-07-24T04:20:27.8012950Z                 "rank:0/cuda:0",
2025-07-24T04:20:27.8013000Z                 "rank:1/cuda:1",
2025-07-24T04:20:27.8013080Z                 "rank:2/cuda:2",
2025-07-24T04:20:27.8013130Z                 "rank:3/cuda:3",
2025-07-24T04:20:27.8013170Z             ],
2025-07-24T04:20:27.8013220Z         )
2025-07-24T04:20:27.8013270Z     >>> current_offsets = [0] * 2
2025-07-24T04:20:27.8013340Z     >>> current_offsets[0] = rank * 2
2025-07-24T04:20:27.8013400Z     >>> shard_metadata = ShardMetadata(
2025-07-24T04:20:27.8013500Z             shard_offsets=copy.deepcopy(current_offsets),
2025-07-24T04:20:27.8013560Z             shard_sizes=tensor.size(),
2025-07-24T04:20:27.8013630Z             placement=spec.placements[rank],
2025-07-24T04:20:27.8013680Z         )
2025-07-24T04:20:27.8013750Z     >>> local_shards = [
2025-07-24T04:20:27.8013800Z             Shard(
2025-07-24T04:20:27.8013860Z                 tensor=tensor,
2025-07-24T04:20:27.8013920Z                 metadata=shard_metadata,
2025-07-24T04:20:27.8014000Z             )
2025-07-24T04:20:27.8014050Z         ]
2025-07-24T04:20:27.8014190Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-07-24T04:20:27.8014240Z     >>> sharding_dim = 1
2025-07-24T04:20:27.8014310Z     >>> resharding_spec = ChunkShardingSpec(
2025-07-24T04:20:27.8014370Z             dim=sharding_dim,
2025-07-24T04:20:27.8014430Z             placements=[
2025-07-24T04:20:27.8014480Z                 "rank:0/cuda:0",
2025-07-24T04:20:27.8014530Z                 "rank:1/cuda:1",
2025-07-24T04:20:27.8014580Z                 "rank:2/cuda:2",
2025-07-24T04:20:27.8014630Z                 "rank:3/cuda:3",
2025-07-24T04:20:27.8014680Z             ],
2025-07-24T04:20:27.8014720Z         )
2025-07-24T04:20:27.8014780Z     >>> st.reshard(resharding_spec)
2025-07-24T04:20:27.8014850Z     >>> tensor = st.local_shards()[0].tensor
2025-07-24T04:20:27.8014890Z     >>> tensor
2025-07-24T04:20:27.8014980Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-07-24T04:20:27.8015070Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-07-24T04:20:27.8015160Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-07-24T04:20:27.8015250Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-07-24T04:20:27.8015250Z 
2025-07-24T04:20:27.8015410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8065540Z 
2025-07-24T04:20:27.8066150Z msg = Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-07-24T04:20:27.8066360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8066370Z 
2025-07-24T04:20:27.8066520Z Representation of a sharding plan, describes how to shard a module
2025-07-24T04:20:27.8066690Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-07-24T04:20:27.8066880Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-07-24T04:20:27.8067040Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-07-24T04:20:27.8067040Z 
2025-07-24T04:20:27.8067090Z Args:
2025-07-24T04:20:27.8067260Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-07-24T04:20:27.8067510Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-07-24T04:20:27.8067690Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-07-24T04:20:27.8067850Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-07-24T04:20:27.8067930Z                a parameter to a `ShardingSpec`.
2025-07-24T04:20:27.8068090Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-07-24T04:20:27.8068160Z                to a `Sharder` object.
2025-07-24T04:20:27.8068370Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-07-24T04:20:27.8068580Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-07-24T04:20:27.8068740Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-07-24T04:20:27.8068790Z         Default: `None`
2025-07-24T04:20:27.8068950Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-07-24T04:20:27.8069110Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-07-24T04:20:27.8069270Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-07-24T04:20:27.8069320Z         root module).
2025-07-24T04:20:27.8069390Z         Default: None
2025-07-24T04:20:27.8069440Z Example:
2025-07-24T04:20:27.8069620Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-07-24T04:20:27.8069840Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-07-24T04:20:27.8069840Z 
2025-07-24T04:20:27.8069950Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-07-24T04:20:27.8070020Z     >>> class MyModule(nn.Module):
2025-07-24T04:20:27.8070080Z     >>>     def __init__(self) -> None:
2025-07-24T04:20:27.8070140Z     >>>        super().__init__()
2025-07-24T04:20:27.8070200Z     >>>        self.fc1 = nn.Linear()
2025-07-24T04:20:27.8070260Z     >>>        self.gelu = nn.GELU()
2025-07-24T04:20:27.8070310Z     >>>        self.fc2 = nn.Linear()
2025-07-24T04:20:27.8070370Z     >>>        self.relu = nn.Linear()
2025-07-24T04:20:27.8070420Z     >>>
2025-07-24T04:20:27.8070470Z     >>>     def forward(self, input):
2025-07-24T04:20:27.8070600Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-07-24T04:20:27.8070600Z 
2025-07-24T04:20:27.8070600Z 
2025-07-24T04:20:27.8070680Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-07-24T04:20:27.8070750Z     >>> sharding_plan = ShardingPlan(
2025-07-24T04:20:27.8070800Z     >>>    plan={
2025-07-24T04:20:27.8070860Z     >>>        "fc1.weight": spec1,
2025-07-24T04:20:27.8070920Z     >>>        "fc2.weight": spec2
2025-07-24T04:20:27.8070970Z     >>>    },
2025-07-24T04:20:27.8071020Z     >>>    output_plan={
2025-07-24T04:20:27.8071080Z     >>>        "fc2": output_spec
2025-07-24T04:20:27.8071120Z     >>>    },
2025-07-24T04:20:27.8071180Z     >>>    return_local_tensor=["fc2"]
2025-07-24T04:20:27.8071220Z     >>> )
2025-07-24T04:20:27.8071230Z 
2025-07-24T04:20:27.8071380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8071390Z 
2025-07-24T04:20:27.8071890Z msg = Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-07-24T04:20:27.8072050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8072050Z 
2025-07-24T04:20:27.8072220Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-07-24T04:20:27.8072370Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-07-24T04:20:27.8072520Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-07-24T04:20:27.8072710Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-07-24T04:20:27.8072880Z when users would like to overwrite default sharding strategies of existing operators.
2025-07-24T04:20:27.8072880Z 
2025-07-24T04:20:27.8072920Z Args:
2025-07-24T04:20:27.8073000Z     op (Union[OpOverload, List[OpOverload]]):
2025-07-24T04:20:27.8073130Z         An op or a list of ops to register the customized sharding function.
2025-07-24T04:20:27.8073130Z 
2025-07-24T04:20:27.8073170Z Returns:
2025-07-24T04:20:27.8073340Z     A function decorator which can be used to wrap a function that defines the sharding
2025-07-24T04:20:27.8073540Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-07-24T04:20:27.8073700Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-07-24T04:20:27.8073900Z     already implemented the operator. The customized sharding function takes the same inputs
2025-07-24T04:20:27.8074050Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-07-24T04:20:27.8074210Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-07-24T04:20:27.8074380Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-07-24T04:20:27.8074490Z     corresponding input placements.
2025-07-24T04:20:27.8074490Z 
2025-07-24T04:20:27.8074540Z Example:
2025-07-24T04:20:27.8074600Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.8074710Z     >>> @register_sharding(aten._softmax.default)
2025-07-24T04:20:27.8074820Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-07-24T04:20:27.8074910Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-07-24T04:20:27.8074970Z     >>>     acceptable_shardings = []
2025-07-24T04:20:27.8075010Z     >>>
2025-07-24T04:20:27.8075130Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-07-24T04:20:27.8075220Z     >>>     acceptable_shardings.append(all_replicate)
2025-07-24T04:20:27.8075260Z     >>>
2025-07-24T04:20:27.8075340Z     >>>     for sharding_dim in range(x.ndim):
2025-07-24T04:20:27.8075410Z     >>>         if sharding_dim != softmax_dim:
2025-07-24T04:20:27.8075460Z     >>>             all_sharded = (
2025-07-24T04:20:27.8075530Z     >>>                 [Shard(sharding_dim)],
2025-07-24T04:20:27.8075610Z     >>>                 [Shard(sharding_dim), None, None],
2025-07-24T04:20:27.8075650Z     >>>             )
2025-07-24T04:20:27.8075750Z     >>>             acceptable_shardings.append(all_sharded)
2025-07-24T04:20:27.8075800Z     >>>
2025-07-24T04:20:27.8075860Z     >>>     return acceptable_shardings
2025-07-24T04:20:27.8075870Z 
2025-07-24T04:20:27.8076000Z .. note:: This API is currently experimental and subject to change
2025-07-24T04:20:27.8076000Z 
2025-07-24T04:20:27.8076160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8076160Z 
2025-07-24T04:20:27.8076600Z msg = Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-07-24T04:20:27.8076770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8076770Z 
2025-07-24T04:20:27.8076930Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-07-24T04:20:27.8077100Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-07-24T04:20:27.8077270Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-07-24T04:20:27.8077370Z :class:`DTensor` according to the ``out_placements``.
2025-07-24T04:20:27.8077370Z 
2025-07-24T04:20:27.8077420Z Args:
2025-07-24T04:20:27.8077550Z     func (Callable): the function to be applied on each local shard of
2025-07-24T04:20:27.8077660Z         :class:`DTensor` s.
2025-07-24T04:20:27.8077800Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-07-24T04:20:27.8077960Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-07-24T04:20:27.8078110Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-07-24T04:20:27.8078250Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-07-24T04:20:27.8078410Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-07-24T04:20:27.8078480Z         mapping to the flattened ``output``.
2025-07-24T04:20:27.8078610Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-07-24T04:20:27.8078810Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-07-24T04:20:27.8078860Z         should be `None`.
2025-07-24T04:20:27.8079010Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-07-24T04:20:27.8079150Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-07-24T04:20:27.8079310Z         should ignore the desired placements because the function is not running with
2025-07-24T04:20:27.8079360Z         :class:`DTensor` s.
2025-07-24T04:20:27.8079470Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-07-24T04:20:27.8079660Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-07-24T04:20:27.8079850Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-07-24T04:20:27.8079990Z         placements of each :class:`DTensor` argument is the same as the required
2025-07-24T04:20:27.8080110Z         placements or not. If the placements are not the same and
2025-07-24T04:20:27.8080260Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-07-24T04:20:27.8080410Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-07-24T04:20:27.8080570Z         the required sharding placements before passing its local tensor to ``func``.
2025-07-24T04:20:27.8080710Z         The only exception is when required placements are not ``None`` and the
2025-07-24T04:20:27.8080850Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-07-24T04:20:27.8080990Z         will be skipped and the argument will be directly passed to ``func``.
2025-07-24T04:20:27.8081130Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-07-24T04:20:27.8081180Z         Default: None
2025-07-24T04:20:27.8081290Z     in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-07-24T04:20:27.8081420Z         the placements hint of the :class:`DTensor` s gradient corresponds
2025-07-24T04:20:27.8081550Z         to the flattened input DTensor. This argument is the hint that user
2025-07-24T04:20:27.8081670Z         can give to :meth:`to_local` in case the gradient layout of the
2025-07-24T04:20:27.8081800Z         local tensor input does not match its :class:`DTensor` input layout.
2025-07-24T04:20:27.8081930Z         If not specified, we will assume the gradient layout of the local
2025-07-24T04:20:27.8082060Z         tensor input remains the same as the original :class:`DTensor` input
2025-07-24T04:20:27.8082170Z         and use that for gradient computation. Default: None.
2025-07-24T04:20:27.8082250Z     device_mesh (:class:`DeviceMesh`, optional):
2025-07-24T04:20:27.8082390Z         the device mesh that the output :class:`DTensor` s are placed on. If not
2025-07-24T04:20:27.8082540Z         specified, this will be inferred from the first input :class:`DTensor`'s device
2025-07-24T04:20:27.8082600Z         mesh. Default: None.
2025-07-24T04:20:27.8082600Z 
2025-07-24T04:20:27.8082660Z Keyword Args:
2025-07-24T04:20:27.8082730Z     redistribute_inputs (bool, optional):
2025-07-24T04:20:27.8082920Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-07-24T04:20:27.8083080Z         their placements are different from the required input placements. If this
2025-07-24T04:20:27.8083220Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-07-24T04:20:27.8083300Z         an exception will be raised. Default: False.
2025-07-24T04:20:27.8083300Z 
2025-07-24T04:20:27.8083350Z Returns:
2025-07-24T04:20:27.8083510Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-07-24T04:20:27.8083660Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-07-24T04:20:27.8083660Z 
2025-07-24T04:20:27.8083720Z Raises:
2025-07-24T04:20:27.8083880Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-07-24T04:20:27.8084030Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-07-24T04:20:27.8084100Z         if this is not the case.
2025-07-24T04:20:27.8084100Z 
2025-07-24T04:20:27.8084260Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-07-24T04:20:27.8084360Z         a redistribution according to ``in_placements``.
2025-07-24T04:20:27.8084360Z 
2025-07-24T04:20:27.8084400Z Example:
2025-07-24T04:20:27.8084470Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:27.8084570Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-07-24T04:20:27.8084650Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-07-24T04:20:27.8084830Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-07-24T04:20:27.8084890Z     >>>     return reduced_tensor
2025-07-24T04:20:27.8084940Z     >>>
2025-07-24T04:20:27.8085020Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-07-24T04:20:27.8085090Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-07-24T04:20:27.8085150Z     >>> Y = torch.mm(W, X)
2025-07-24T04:20:27.8085270Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-07-24T04:20:27.8085380Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-07-24T04:20:27.8085430Z     >>>
2025-07-24T04:20:27.8085600Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-07-24T04:20:27.8085690Z     >>> local_mm_allreduce_forward = local_map(
2025-07-24T04:20:27.8085750Z     >>>     mm_allreduce_forward,
2025-07-24T04:20:27.8085820Z     >>>     out_placements=[Replicate()],
2025-07-24T04:20:27.8085890Z     >>>     in_placements=[col_wise, row_wise],
2025-07-24T04:20:27.8085950Z     >>>     device_mesh=device_mesh,
2025-07-24T04:20:27.8085990Z     >>> )
2025-07-24T04:20:27.8086040Z     >>>
2025-07-24T04:20:27.8086100Z     >>> W_dt = distribute_tensor(
2025-07-24T04:20:27.8086160Z     ...     W, device_mesh, (col_wise)
2025-07-24T04:20:27.8086220Z     ... )  # col-wisely sharded W tensor
2025-07-24T04:20:27.8086280Z     >>> X_dt = distribute_tensor(
2025-07-24T04:20:27.8086340Z     ...     X, device_mesh, (row_wise)
2025-07-24T04:20:27.8086400Z     ... )  # row-wisely sharded X tensor
2025-07-24T04:20:27.8086470Z     >>> Y_dt = local_mm_allreduce_forward(
2025-07-24T04:20:27.8086530Z     ...     device_mesh, W_dt, X_dt
2025-07-24T04:20:27.8086620Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-07-24T04:20:27.8086620Z 
2025-07-24T04:20:27.8086750Z .. note:: This API is currently experimental and subject to change
2025-07-24T04:20:27.8086750Z 
2025-07-24T04:20:27.8086910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8411660Z 
2025-07-24T04:20:27.8412320Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-07-24T04:20:27.8416540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8416680Z 
2025-07-24T04:20:27.8417090Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-07-24T04:20:27.8417940Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-07-24T04:20:27.8417960Z 
2025-07-24T04:20:27.8418020Z Keyword Args:
2025-07-24T04:20:27.8418160Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:27.8418390Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-07-24T04:20:27.8418620Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-07-24T04:20:27.8418780Z         as a placeholder. default: None.
2025-07-24T04:20:27.8418930Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:27.8419170Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:27.8419420Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-07-24T04:20:27.8419500Z     input_kwarg_layouts (Dict[str, Placement]):
2025-07-24T04:20:27.8419740Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-07-24T04:20:27.8419790Z         default: None
2025-07-24T04:20:27.8419940Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-07-24T04:20:27.8420230Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:27.8420330Z         have the desired DTensor layouts. default: None.
2025-07-24T04:20:27.8420430Z     use_local_output (bool, optional):
2025-07-24T04:20:27.8420650Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-07-24T04:20:27.8420700Z Returns:
2025-07-24T04:20:27.8420910Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-07-24T04:20:27.8420910Z 
2025-07-24T04:20:27.8420960Z Example::
2025-07-24T04:20:27.8421030Z     >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:27.8421230Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-07-24T04:20:27.8421350Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:27.8421400Z     >>> ...
2025-07-24T04:20:27.8421600Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:27.8421680Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:27.8421720Z     >>>
2025-07-24T04:20:27.8421920Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-07-24T04:20:27.8422010Z     >>> # and then redistributed to Replicated DTensor.
2025-07-24T04:20:27.8422070Z     >>> parallelize_module(
2025-07-24T04:20:27.8422160Z     >>>     block, # this can be a submodule or module
2025-07-24T04:20:27.8422210Z     >>>     tp_mesh,
2025-07-24T04:20:27.8422270Z     >>>     parallelize_plan={
2025-07-24T04:20:27.8422340Z     >>>         "attn": PrepareModuleInput(
2025-07-24T04:20:27.8422430Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-07-24T04:20:27.8422530Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-07-24T04:20:27.8422580Z     >>>         ),
2025-07-24T04:20:27.8422620Z     >>>     }
2025-07-24T04:20:27.8422670Z     >>> )
2025-07-24T04:20:27.8422670Z 
2025-07-24T04:20:27.8422820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8422830Z 
2025-07-24T04:20:27.8423290Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-07-24T04:20:27.8423490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8423490Z 
2025-07-24T04:20:27.8423730Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-07-24T04:20:27.8423930Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-07-24T04:20:27.8423930Z 
2025-07-24T04:20:27.8423980Z Keyword Args:
2025-07-24T04:20:27.8424080Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:27.8424290Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-07-24T04:20:27.8424520Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-07-24T04:20:27.8424640Z         ``None`` need to be specified as a placeholder.
2025-07-24T04:20:27.8424760Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:27.8425000Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-07-24T04:20:27.8425070Z         have the desired DTensor layouts.
2025-07-24T04:20:27.8425130Z     use_local_output (bool, optional):
2025-07-24T04:20:27.8425350Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-07-24T04:20:27.8425520Z Returns:
2025-07-24T04:20:27.8425700Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-07-24T04:20:27.8425710Z 
2025-07-24T04:20:27.8425790Z Example::
2025-07-24T04:20:27.8425850Z     >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:27.8426050Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-07-24T04:20:27.8426170Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:27.8426210Z     >>> ...
2025-07-24T04:20:27.8426400Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:27.8426480Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:27.8426520Z     >>>
2025-07-24T04:20:27.8426760Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-07-24T04:20:27.8426850Z     >>> # and then redistributed to Sharded DTensor.
2025-07-24T04:20:27.8426910Z     >>> parallelize_module(
2025-07-24T04:20:27.8426990Z     >>>     block, # this can be a submodule or module
2025-07-24T04:20:27.8427040Z     >>>     tp_mesh,
2025-07-24T04:20:27.8427130Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-07-24T04:20:27.8427200Z     >>>         output_layouts=Replicate(),
2025-07-24T04:20:27.8427270Z     >>>         desired_output_layouts=Shard(0)
2025-07-24T04:20:27.8427310Z     >>>     )
2025-07-24T04:20:27.8427360Z     >>> )
2025-07-24T04:20:27.8427360Z 
2025-07-24T04:20:27.8427520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:27.8427520Z 
2025-07-24T04:20:27.8427990Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-07-24T04:20:27.8428150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:27.8428160Z 
2025-07-24T04:20:27.8428410Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-07-24T04:20:27.8428660Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-07-24T04:20:27.8428890Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-07-24T04:20:27.8429020Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-07-24T04:20:27.8429070Z 
2025-07-24T04:20:27.8429120Z Keyword Args:
2025-07-24T04:20:27.8429250Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:27.8429450Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-07-24T04:20:27.8429660Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-07-24T04:20:27.8429730Z         as a placeholder. default: None.
2025-07-24T04:20:27.8429870Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:27.8430090Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:27.8430360Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-07-24T04:20:27.8430440Z     input_kwarg_layouts (Dict[str, Placement]):
2025-07-24T04:20:27.8430660Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-07-24T04:20:27.8430710Z         default: None
2025-07-24T04:20:27.8430820Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-07-24T04:20:27.8431030Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:27.8431150Z         have the desired DTensor layouts. default: None.
2025-07-24T04:20:27.8431210Z     use_local_input (bool, optional):
2025-07-24T04:20:27.8431480Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-07-24T04:20:27.8431580Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:27.8431790Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-07-24T04:20:27.8432010Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-07-24T04:20:27.8432110Z         ``None`` need to be specified as a placeholder.
2025-07-24T04:20:27.8432220Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:27.8432450Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-07-24T04:20:27.8432520Z         have the desired DTensor layouts.
2025-07-24T04:20:27.8432590Z     use_local_output (bool, optional):
2025-07-24T04:20:27.8432810Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-07-24T04:20:27.8432860Z Returns:
2025-07-24T04:20:27.8433080Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-07-24T04:20:27.8433080Z 
2025-07-24T04:20:27.8433120Z Example::
2025-07-24T04:20:27.8433180Z     >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:27.8433390Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-07-24T04:20:27.8433510Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:27.8433550Z     >>> ...
2025-07-24T04:20:27.8433740Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:27.8433810Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:27.8433860Z     >>>
2025-07-24T04:20:27.8434070Z     >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-07-24T04:20:27.8434280Z     >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-07-24T04:20:27.8434410Z     >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-07-24T04:20:27.8434470Z     >>> parallelize_module(
2025-07-24T04:20:27.8434550Z     >>>     block, # this can be a submodule or module
2025-07-24T04:20:27.8434630Z     >>>     tp_mesh,
2025-07-24T04:20:27.8434690Z     >>>     parallelize_plan={
2025-07-24T04:20:27.8434770Z     >>>         "attn": PrepareModuleInputOutput(
2025-07-24T04:20:27.8434860Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-07-24T04:20:27.8434970Z     >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-07-24T04:20:27.8435040Z     >>>             output_layouts=Replicate(),
2025-07-24T04:20:27.8435120Z     >>>             desired_output_layouts=Shard(0),
2025-07-24T04:20:27.8435160Z     >>>         ),
2025-07-24T04:20:27.8435210Z     >>>     }
2025-07-24T04:20:27.8435250Z     >>> )
2025-07-24T04:20:27.8435250Z 
2025-07-24T04:20:27.8435410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.0225740Z 
2025-07-24T04:20:28.0226480Z msg = Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-07-24T04:20:28.0227220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.0227460Z 
2025-07-24T04:20:28.0227610Z A decorator for a function indicating that the return value of the function
2025-07-24T04:20:28.0227970Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-07-24T04:20:28.0228530Z function can run asynchronously on the RPC callee. More specifically, the
2025-07-24T04:20:28.0228900Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-07-24T04:20:28.0229390Z function and installs subsequent processing steps as a callback to that
2025-07-24T04:20:28.0229770Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-07-24T04:20:28.0230120Z from the :class:`~torch.futures.Future` when completed and send the
2025-07-24T04:20:28.0230440Z value back as the RPC response. That also means the returned
2025-07-24T04:20:28.0230770Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-07-24T04:20:28.0231120Z sent through RPC. This decorator is useful when the wrapped function's
2025-07-24T04:20:28.0231450Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-07-24T04:20:28.0231780Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-07-24T04:20:28.0231980Z 
2025-07-24T04:20:28.0232130Z .. note:: To enable asynchronous execution, applications must pass the
2025-07-24T04:20:28.0232470Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-07-24T04:20:28.0232810Z     attributes installed by this decorator, it knows that this function
2025-07-24T04:20:28.0233130Z     returns a ``Future`` object and will handle that accordingly.
2025-07-24T04:20:28.0233430Z     However, this does not mean this decorator has to be outmost one when
2025-07-24T04:20:28.0233770Z     defining a function. For example, when combined with ``@staticmethod``
2025-07-24T04:20:28.0234100Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-07-24T04:20:28.0234430Z     inner decorator to allow the target function be recognized as a static
2025-07-24T04:20:28.0234780Z     or class function. This target function can still execute asynchronously
2025-07-24T04:20:28.0235120Z     because, when accessed, the static or class method preserves attributes
2025-07-24T04:20:28.0235430Z     installed by ``@rpc.functions.async_execution``.
2025-07-24T04:20:28.0235590Z 
2025-07-24T04:20:28.0235590Z 
2025-07-24T04:20:28.0235640Z Example::
2025-07-24T04:20:28.0235840Z     The returned :class:`~torch.futures.Future` object can come from
2025-07-24T04:20:28.0236110Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-07-24T04:20:28.0236400Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-07-24T04:20:28.0236720Z     constructor. The example below shows directly using the
2025-07-24T04:20:28.0236980Z     :class:`~torch.futures.Future` returned by
2025-07-24T04:20:28.0237290Z     :meth:`~torch.futures.Future.then`.
2025-07-24T04:20:28.0237430Z 
2025-07-24T04:20:28.0237500Z     >>> from torch.distributed import rpc
2025-07-24T04:20:28.0237690Z     >>>
2025-07-24T04:20:28.0237830Z     >>> # omitting setup and shutdown RPC
2025-07-24T04:20:28.0238000Z     >>>
2025-07-24T04:20:28.0238120Z     >>> # On all workers
2025-07-24T04:20:28.0238290Z     >>> @rpc.functions.async_execution
2025-07-24T04:20:28.0238500Z     >>> def async_add_chained(to, x, y, z):
2025-07-24T04:20:28.0238750Z     >>>     # This function runs on "worker1" and returns immediately when
2025-07-24T04:20:28.0239060Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-07-24T04:20:28.0239360Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-07-24T04:20:28.0239730Z     >>>     # When the return value of that `rpc_async` arrives at
2025-07-24T04:20:28.0240020Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-07-24T04:20:28.0240320Z     >>>     # and set the value for the previously returned `Future`, which
2025-07-24T04:20:28.0240620Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-07-24T04:20:28.0240900Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:28.0241130Z     >>>         lambda fut: fut.wait() + z
2025-07-24T04:20:28.0241310Z     >>>     )
2025-07-24T04:20:28.0241430Z     >>>
2025-07-24T04:20:28.0241560Z     >>> # On worker0
2025-07-24T04:20:28.0241710Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:28.0241870Z     >>> ret = rpc.rpc_sync(
2025-07-24T04:20:28.0242020Z     >>>     "worker1",
2025-07-24T04:20:28.0242210Z     >>>     async_add_chained,
2025-07-24T04:20:28.0242400Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-07-24T04:20:28.0242580Z     >>> )
2025-07-24T04:20:28.0242720Z     >>> print(ret)  # prints tensor([3., 3.])
2025-07-24T04:20:28.0242860Z 
2025-07-24T04:20:28.0243000Z     When combined with TorchScript decorators, this decorator must be the
2025-07-24T04:20:28.0243250Z     outmost one.
2025-07-24T04:20:28.0243340Z 
2025-07-24T04:20:28.0243400Z     >>> from torch import Tensor
2025-07-24T04:20:28.0243580Z     >>> from torch.futures import Future
2025-07-24T04:20:28.0243780Z     >>> from torch.distributed import rpc
2025-07-24T04:20:28.0243950Z     >>>
2025-07-24T04:20:28.0244080Z     >>> # omitting setup and shutdown RPC
2025-07-24T04:20:28.0244250Z     >>>
2025-07-24T04:20:28.0244360Z     >>> # On all workers
2025-07-24T04:20:28.0244520Z     >>> @torch.jit.script
2025-07-24T04:20:28.0244710Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-07-24T04:20:28.0244920Z     >>>     return x + y
2025-07-24T04:20:28.0245060Z     >>>
2025-07-24T04:20:28.0245190Z     >>> @rpc.functions.async_execution
2025-07-24T04:20:28.0245390Z     >>> @torch.jit.script
2025-07-24T04:20:28.0245600Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-07-24T04:20:28.0245870Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-07-24T04:20:28.0246070Z     >>>
2025-07-24T04:20:28.0246180Z     >>> # On worker0
2025-07-24T04:20:28.0246320Z     >>> ret = rpc.rpc_sync(
2025-07-24T04:20:28.0246470Z     >>>     "worker1",
2025-07-24T04:20:28.0246610Z     >>>     async_add,
2025-07-24T04:20:28.0246770Z     >>>     args=("worker2", torch.ones(2), 1)
2025-07-24T04:20:28.0246950Z     >>> )
2025-07-24T04:20:28.0247080Z     >>> print(ret)  # prints tensor([2., 2.])
2025-07-24T04:20:28.0247220Z 
2025-07-24T04:20:28.0247350Z     When combined with static or class method, this decorator must be the
2025-07-24T04:20:28.0247600Z     inner one.
2025-07-24T04:20:28.0247680Z 
2025-07-24T04:20:28.0247750Z     >>> from torch.distributed import rpc
2025-07-24T04:20:28.0247930Z     >>>
2025-07-24T04:20:28.0248060Z     >>> # omitting setup and shutdown RPC
2025-07-24T04:20:28.0248230Z     >>>
2025-07-24T04:20:28.0248350Z     >>> # On all workers
2025-07-24T04:20:28.0248500Z     >>> class AsyncExecutionClass:
2025-07-24T04:20:28.0248670Z     >>>
2025-07-24T04:20:28.0248830Z     >>>     @staticmethod
2025-07-24T04:20:28.0249010Z     >>>     @rpc.functions.async_execution
2025-07-24T04:20:28.0249210Z     >>>     def static_async_add(to, x, y, z):
2025-07-24T04:20:28.0249460Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:28.0249700Z     >>>             lambda fut: fut.wait() + z
2025-07-24T04:20:28.0249880Z     >>>         )
2025-07-24T04:20:28.0250000Z     >>>
2025-07-24T04:20:28.0250110Z     >>>     @classmethod
2025-07-24T04:20:28.0250280Z     >>>     @rpc.functions.async_execution
2025-07-24T04:20:28.0250490Z     >>>     def class_async_add(cls, to, x, y, z):
2025-07-24T04:20:28.0250700Z     >>>         ret_fut = torch.futures.Future()
2025-07-24T04:20:28.0251010Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:28.0251270Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-07-24T04:20:28.0251480Z     >>>         )
2025-07-24T04:20:28.0251610Z     >>>         return ret_fut
2025-07-24T04:20:28.0251760Z     >>>
2025-07-24T04:20:28.0251900Z     >>>     @rpc.functions.async_execution
2025-07-24T04:20:28.0252100Z     >>>     def bound_async_add(self, to, x, y, z):
2025-07-24T04:20:28.0252350Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:28.0252590Z     >>>             lambda fut: fut.wait() + z
2025-07-24T04:20:28.0252770Z     >>>         )
2025-07-24T04:20:28.0252950Z     >>>
2025-07-24T04:20:28.0253070Z     >>> # On worker0
2025-07-24T04:20:28.0253210Z     >>> ret = rpc.rpc_sync(
2025-07-24T04:20:28.0253360Z     >>>     "worker1",
2025-07-24T04:20:28.0253600Z     >>>     AsyncExecutionClass.static_async_add,
2025-07-24T04:20:28.0253830Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:28.0254010Z     >>> )
2025-07-24T04:20:28.0254150Z     >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:28.0254330Z     >>>
2025-07-24T04:20:28.0254450Z     >>> ret = rpc.rpc_sync(
2025-07-24T04:20:28.0254600Z     >>>     "worker1",
2025-07-24T04:20:28.0254770Z     >>>     AsyncExecutionClass.class_async_add,
2025-07-24T04:20:28.0254990Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:28.0255160Z     >>> )
2025-07-24T04:20:28.0255300Z     >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:28.0255430Z 
2025-07-24T04:20:28.0255530Z     This decorator also works with RRef helpers, i.e., .
2025-07-24T04:20:28.0255780Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-07-24T04:20:28.0256030Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-07-24T04:20:28.0256280Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-07-24T04:20:28.0256430Z 
2025-07-24T04:20:28.0256500Z     >>> from torch.distributed import rpc
2025-07-24T04:20:28.0256680Z     >>>
2025-07-24T04:20:28.0256830Z     >>> # reuse the AsyncExecutionClass class above
2025-07-24T04:20:28.0257070Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:28.0257360Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:28.0257630Z     >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:28.0257810Z     >>>
2025-07-24T04:20:28.0257960Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:28.0258260Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-07-24T04:20:28.0258540Z     >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:28.0258720Z     >>>
2025-07-24T04:20:28.0258880Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:28.0259180Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-07-24T04:20:28.0259460Z     >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:28.0259610Z 
2025-07-24T04:20:28.0259760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.0259980Z 
2025-07-24T04:20:28.0260470Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-07-24T04:20:28.0261230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.0261460Z 
2025-07-24T04:20:28.0261580Z Set device mapping between each RPC caller and callee pair. This
2025-07-24T04:20:28.0261890Z function can be called multiple times to incrementally add
2025-07-24T04:20:28.0262130Z device placement configurations.
2025-07-24T04:20:28.0262260Z 
2025-07-24T04:20:28.0262300Z Args:
2025-07-24T04:20:28.0262420Z     to (str): Callee name.
2025-07-24T04:20:28.0262650Z     device_map (Dict of int, str, or torch.device): Device placement
2025-07-24T04:20:28.0263000Z         mappings from this worker to the callee. This map must be
2025-07-24T04:20:28.0263230Z         invertible.
2025-07-24T04:20:28.0263320Z 
2025-07-24T04:20:28.0263360Z Example:
2025-07-24T04:20:28.0263500Z     >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:28.0263680Z     >>> # both workers
2025-07-24T04:20:28.0263820Z     >>> def add(x, y):
2025-07-24T04:20:28.0263990Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-07-24T04:20:28.0264200Z     >>>     return x + y, (x + y).to(2)
2025-07-24T04:20:28.0264380Z     >>>
2025-07-24T04:20:28.0264490Z     >>> # on worker 0
2025-07-24T04:20:28.0264660Z     >>> options = TensorPipeRpcBackendOptions(
2025-07-24T04:20:28.0264890Z     >>>     num_worker_threads=8,
2025-07-24T04:20:28.0265070Z     >>>     device_maps={"worker1": {0: 1}}
2025-07-24T04:20:28.0265280Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-07-24T04:20:28.0265470Z     >>> )
2025-07-24T04:20:28.0265650Z     >>> options.set_device_map("worker1", {1: 2})
2025-07-24T04:20:28.0265880Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-07-24T04:20:28.0266070Z     >>>
2025-07-24T04:20:28.0266180Z     >>> rpc.init_rpc(
2025-07-24T04:20:28.0266320Z     >>>     "worker0",
2025-07-24T04:20:28.0266460Z     >>>     rank=0,
2025-07-24T04:20:28.0266600Z     >>>     world_size=2,
2025-07-24T04:20:28.0266770Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-07-24T04:20:28.0266980Z     >>>     rpc_backend_options=options
2025-07-24T04:20:28.0267150Z     >>> )
2025-07-24T04:20:28.0267270Z     >>>
2025-07-24T04:20:28.0272420Z     >>> x = torch.ones(2)
2025-07-24T04:20:28.0272650Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-07-24T04:20:28.0272940Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-07-24T04:20:28.0273240Z     >>> # sending the return value back, it will follow the invert of
2025-07-24T04:20:28.0273530Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-07-24T04:20:28.0273760Z     >>> # cuda:1 on worker0
2025-07-24T04:20:28.0273960Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-07-24T04:20:28.0274210Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-07-24T04:20:28.0274370Z 
2025-07-24T04:20:28.0274520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2535470Z 
2025-07-24T04:20:28.2536220Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-07-24T04:20:28.2536980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2537230Z 
2025-07-24T04:20:28.2537360Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-07-24T04:20:28.2537740Z except that it enables profiling on all threads running RPC server request callbacks.
2025-07-24T04:20:28.2537990Z 
2025-07-24T04:20:28.2538160Z Context manager that manages autograd profiler state and holds a summary of results.
2025-07-24T04:20:28.2538560Z Under the hood it just records events of functions being executed in C++ and
2025-07-24T04:20:28.2538920Z exposes those events to Python. You can wrap any code into it and it will
2025-07-24T04:20:28.2539420Z only report runtime of PyTorch functions.
2025-07-24T04:20:28.2539720Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-07-24T04:20:28.2539950Z 
2025-07-24T04:20:28.2540000Z Args:
2025-07-24T04:20:28.2540230Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-07-24T04:20:28.2540510Z         Default: ``True``.
2025-07-24T04:20:28.2540620Z 
2025-07-24T04:20:28.2540790Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-07-24T04:20:28.2541170Z         Adds approximately 4us of overhead to each tensor operation.
2025-07-24T04:20:28.2541420Z         Default: ``False``
2025-07-24T04:20:28.2541580Z 
2025-07-24T04:20:28.2541720Z     record_shapes (bool, optional): If shapes recording is set, information
2025-07-24T04:20:28.2542070Z         about input dimensions will be collected. This allows one to see which
2025-07-24T04:20:28.2542410Z         dimensions have been used under the hood and further group by them
2025-07-24T04:20:28.2542740Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-07-24T04:20:28.2543090Z         shape recording might skew your profiling data. It is recommended to
2025-07-24T04:20:28.2543430Z         use separate runs with and without shape recording to validate the timing.
2025-07-24T04:20:28.2543840Z         Most likely the skew will be negligible for bottom most events (in a case
2025-07-24T04:20:28.2544180Z         of nested function calls). But for higher level functions the total
2025-07-24T04:20:28.2544580Z         self cpu time might be artificially increased because of the shape
2025-07-24T04:20:28.2544830Z         collection.
2025-07-24T04:20:28.2544930Z 
2025-07-24T04:20:28.2545090Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-07-24T04:20:28.2545330Z 
2025-07-24T04:20:28.2545390Z .. warning::
2025-07-24T04:20:28.2545590Z     Enabling memory profiling incurs additional profiler overhead
2025-07-24T04:20:28.2545790Z 
2025-07-24T04:20:28.2545840Z .. warning::
2025-07-24T04:20:28.2546110Z     Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-07-24T04:20:28.2546480Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-07-24T04:20:28.2546810Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-07-24T04:20:28.2547120Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-07-24T04:20:28.2547290Z 
2025-07-24T04:20:28.2547330Z Example:
2025-07-24T04:20:28.2547460Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:28.2547610Z     >>> # On worker 0:
2025-07-24T04:20:28.2547740Z     >>> import torch
2025-07-24T04:20:28.2547910Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:28.2548140Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:28.2548360Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-07-24T04:20:28.2548570Z     >>> outer_profile_rref = rpc.remote(
2025-07-24T04:20:28.2548800Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-07-24T04:20:28.2549010Z     ... )
2025-07-24T04:20:28.2549160Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-07-24T04:20:28.2549400Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-07-24T04:20:28.2549630Z     >>> inner_profile_rref = rpc.remote(
2025-07-24T04:20:28.2549860Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-07-24T04:20:28.2550070Z     ... )
2025-07-24T04:20:28.2550210Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-07-24T04:20:28.2550450Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-07-24T04:20:28.2550710Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-07-24T04:20:28.2550990Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-07-24T04:20:28.2551260Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-07-24T04:20:28.2551580Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2552030Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-07-24T04:20:28.2552430Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2552770Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-07-24T04:20:28.2553080Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-07-24T04:20:28.2553420Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2553730Z     Self CPU time total: 89.667us
2025-07-24T04:20:28.2553960Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-07-24T04:20:28.2554270Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2554660Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-07-24T04:20:28.2555060Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2555400Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-07-24T04:20:28.2555700Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-07-24T04:20:28.2556050Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-07-24T04:20:28.2556380Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2556660Z     Self CPU time total: 213.926us
2025-07-24T04:20:28.2556840Z     >>> rpc.shutdown()
2025-07-24T04:20:28.2556940Z 
2025-07-24T04:20:28.2556990Z     >>> # On worker 1:
2025-07-24T04:20:28.2557160Z     >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:28.2557390Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:28.2557640Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-07-24T04:20:28.2557850Z     >>> rpc.shutdown()
2025-07-24T04:20:28.2557950Z 
2025-07-24T04:20:28.2558110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2558330Z 
2025-07-24T04:20:28.2558720Z msg = Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-07-24T04:20:28.2559330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2559770Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-07-24T04:20:28.2560180Z     Label will only appear if CPU activity tracing is enabled.
2025-07-24T04:20:28.2560360Z 
2025-07-24T04:20:28.2560440Z     It is useful when tracing the code profile.
2025-07-24T04:20:28.2560590Z 
2025-07-24T04:20:28.2560640Z     Args:
2025-07-24T04:20:28.2560800Z         name (str): Label assigned to the block of code.
2025-07-24T04:20:28.2561060Z         node_id (int): ID of node, for distributed profiling. Unset in
2025-07-24T04:20:28.2561310Z         non-distributed cases.
2025-07-24T04:20:28.2561420Z 
2025-07-24T04:20:28.2561470Z     Example:
2025-07-24T04:20:28.2561660Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-07-24T04:20:28.2561920Z         >>> x = torch.randn((1, 1), requires_grad=True)
2025-07-24T04:20:28.2562160Z         >>> with torch.autograd.profiler.profile() as prof:
2025-07-24T04:20:28.2562380Z         ...     y = x**2
2025-07-24T04:20:28.2562580Z         ...     with torch.autograd.profiler.record_function(
2025-07-24T04:20:28.2562800Z         ...         "label-z"
2025-07-24T04:20:28.2563000Z         ...     ):  # label the block
2025-07-24T04:20:28.2563180Z         ...         z = y**3
2025-07-24T04:20:28.2563340Z         ...     y.backward()
2025-07-24T04:20:28.2563500Z         >>> # xdoctest: +IGNORE_WANT
2025-07-24T04:20:28.2563710Z         >>> # NOTE: some columns were removed for brevity
2025-07-24T04:20:28.2563980Z         >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-07-24T04:20:28.2564300Z         -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2564610Z         Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-07-24T04:20:28.2564910Z         -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2565230Z         pow                                  60.77%           47.470us         3
2025-07-24T04:20:28.2565470Z         mul                                  21.73%           25.465us         2
2025-07-24T04:20:28.2565730Z         PowBackward0                         12.03%           121.891us        1
2025-07-24T04:20:28.2566040Z         torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-07-24T04:20:28.2566330Z         label-z                              2.13%            12.421us         1
2025-07-24T04:20:28.2566610Z         torch::autograd::GraphRoot           0.64%            1.503us          1
2025-07-24T04:20:28.2566970Z         -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:28.2567230Z         Self CPU time total: 234.344us
2025-07-24T04:20:28.2567440Z         CUDA time total: 0.000us
2025-07-24T04:20:28.2567560Z 
2025-07-24T04:20:28.2567610Z     
2025-07-24T04:20:28.2567830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2568050Z 
2025-07-24T04:20:28.2568500Z msg = Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-07-24T04:20:28.2569170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2569510Z Return a new dict with new, potentially nested, key value pair
2025-07-24T04:20:28.2569690Z 
2025-07-24T04:20:28.2569740Z     >>> purchase = {
2025-07-24T04:20:28.2569890Z     ...     "name": "Alice",
2025-07-24T04:20:28.2570110Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:28.2570360Z     ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:28.2570550Z     ... }
2025-07-24T04:20:28.2570740Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-07-24T04:20:28.2571000Z     {'credit card': '5555-1234-1234-1234',
2025-07-24T04:20:28.2571180Z      'name': 'Alice',
2025-07-24T04:20:28.2571380Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-07-24T04:20:28.2571590Z     
2025-07-24T04:20:28.2571810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2572030Z 
2025-07-24T04:20:28.2572480Z msg = Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-07-24T04:20:28.2573160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2573470Z Update value in a (potentially) nested dictionary
2025-07-24T04:20:28.2573630Z 
2025-07-24T04:20:28.2573680Z     inputs:
2025-07-24T04:20:28.2573820Z     d - dictionary on which to operate
2025-07-24T04:20:28.2574080Z     keys - list or tuple giving the location of the value to be changed in d
2025-07-24T04:20:28.2574360Z     func - function to operate on that value
2025-07-24T04:20:28.2574500Z 
2025-07-24T04:20:28.2574620Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-07-24T04:20:28.2575000Z     original dictionary with v replaced by func(v), but does not mutate the
2025-07-24T04:20:28.2575270Z     original dictionary.
2025-07-24T04:20:28.2575370Z 
2025-07-24T04:20:28.2575500Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-07-24T04:20:28.2575830Z     specified by the keys, with the innermost value set to func(default).
2025-07-24T04:20:28.2576030Z 
2025-07-24T04:20:28.2576090Z     >>> inc = lambda x: x + 1
2025-07-24T04:20:28.2576260Z     >>> update_in({"a": 0}, ["a"], inc)
2025-07-24T04:20:28.2576440Z     {'a': 1}
2025-07-24T04:20:28.2576510Z 
2025-07-24T04:20:28.2576570Z     >>> transaction = {
2025-07-24T04:20:28.2576720Z     ...     "name": "Alice",
2025-07-24T04:20:28.2576970Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:28.2577230Z     ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:28.2577410Z     ... }
2025-07-24T04:20:28.2577610Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-07-24T04:20:28.2577870Z     {'credit card': '5555-1234-1234-1234',
2025-07-24T04:20:28.2578040Z      'name': 'Alice',
2025-07-24T04:20:28.2578240Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-07-24T04:20:28.2578410Z 
2025-07-24T04:20:28.2578480Z     >>> # updating a value when k0 is not in d
2025-07-24T04:20:28.2578700Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-07-24T04:20:28.2578910Z     {1: {2: {3: 'bar'}}}
2025-07-24T04:20:28.2579080Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-07-24T04:20:28.2579270Z     {1: 'foo', 2: {3: {4: 1}}}
2025-07-24T04:20:28.2579470Z     
2025-07-24T04:20:28.2579690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2693250Z 
2025-07-24T04:20:28.2693920Z msg = Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-07-24T04:20:28.2694640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2694980Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-07-24T04:20:28.2695200Z 
2025-07-24T04:20:28.2695320Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-07-24T04:20:28.2695650Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-07-24T04:20:28.2695860Z 
2025-07-24T04:20:28.2695990Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-07-24T04:20:28.2696280Z     structures such as dictionaries and lists.
2025-07-24T04:20:28.2696440Z 
2025-07-24T04:20:28.2696490Z     >>> transaction = {
2025-07-24T04:20:28.2696650Z     ...     "name": "Alice",
2025-07-24T04:20:28.2696890Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:28.2697150Z     ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:28.2697340Z     ... }
2025-07-24T04:20:28.2697500Z     >>> get_in(["purchase", "items", 0], transaction)
2025-07-24T04:20:28.2697690Z     'Apple'
2025-07-24T04:20:28.2697830Z     >>> get_in(["name"], transaction)
2025-07-24T04:20:28.2698010Z     'Alice'
2025-07-24T04:20:28.2698160Z     >>> get_in(["purchase", "total"], transaction)
2025-07-24T04:20:28.2698390Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-07-24T04:20:28.2698640Z     >>> get_in(["purchase", "items", 10], transaction)
2025-07-24T04:20:28.2698870Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-07-24T04:20:28.2699060Z     0
2025-07-24T04:20:28.2699190Z     >>> get_in(["y"], {}, no_default=True)
2025-07-24T04:20:28.2699380Z     Traceback (most recent call last):
2025-07-24T04:20:28.2699560Z         ...
2025-07-24T04:20:28.2699670Z     KeyError: 'y'
2025-07-24T04:20:28.2699750Z 
2025-07-24T04:20:28.2699800Z     See Also:
2025-07-24T04:20:28.2699930Z         itertoolz.get
2025-07-24T04:20:28.2700070Z         operator.getitem
2025-07-24T04:20:28.2700350Z     
2025-07-24T04:20:28.2700570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2700790Z 
2025-07-24T04:20:28.2701240Z msg = Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-07-24T04:20:28.2701910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2702200Z Group a collection by a key function
2025-07-24T04:20:28.2702340Z 
2025-07-24T04:20:28.2702440Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-07-24T04:20:28.2702690Z     >>> groupby(len, names)  # doctest: +SKIP
2025-07-24T04:20:28.2702960Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-07-24T04:20:28.2703130Z 
2025-07-24T04:20:28.2703200Z     >>> iseven = lambda x: x % 2 == 0
2025-07-24T04:20:28.2703430Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-07-24T04:20:28.2703670Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-07-24T04:20:28.2703800Z 
2025-07-24T04:20:28.2703890Z     Non-callable keys imply grouping on a member.
2025-07-24T04:20:28.2704040Z 
2025-07-24T04:20:28.2704080Z     >>> groupby(
2025-07-24T04:20:28.2704210Z     ...     "gender",
2025-07-24T04:20:28.2704340Z     ...     [
2025-07-24T04:20:28.2704520Z     ...         {"name": "Alice", "gender": "F"},
2025-07-24T04:20:28.2704730Z     ...         {"name": "Bob", "gender": "M"},
2025-07-24T04:20:28.2704950Z     ...         {"name": "Charlie", "gender": "M"},
2025-07-24T04:20:28.2705180Z     ...     ],
2025-07-24T04:20:28.2705320Z     ... )  # doctest:+SKIP
2025-07-24T04:20:28.2705490Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-07-24T04:20:28.2705690Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-07-24T04:20:28.2705880Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-07-24T04:20:28.2706020Z 
2025-07-24T04:20:28.2706100Z     Not to be confused with ``itertools.groupby``
2025-07-24T04:20:28.2706260Z 
2025-07-24T04:20:28.2706310Z     See Also:
2025-07-24T04:20:28.2706430Z         countby
2025-07-24T04:20:28.2706540Z     
2025-07-24T04:20:28.2706760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2706980Z 
2025-07-24T04:20:28.2707370Z msg = Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-07-24T04:20:28.2707970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2708390Z Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-07-24T04:20:28.2708660Z 
2025-07-24T04:20:28.2708880Z     Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-07-24T04:20:28.2709300Z     intervals by which each scheduler should be called at a given epoch.
2025-07-24T04:20:28.2709500Z 
2025-07-24T04:20:28.2709550Z     Args:
2025-07-24T04:20:28.2709700Z         optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:28.2709940Z         schedulers (list): List of chained schedulers.
2025-07-24T04:20:28.2710220Z         milestones (list): List of integers that reflects milestone points.
2025-07-24T04:20:28.2710520Z         last_epoch (int): The index of last epoch. Default: -1.
2025-07-24T04:20:28.2710700Z 
2025-07-24T04:20:28.2710740Z     Example:
2025-07-24T04:20:28.2710880Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:28.2711080Z         >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-07-24T04:20:28.2711310Z         >>> # lr = 0.005     if epoch == 0
2025-07-24T04:20:28.2711500Z         >>> # lr = 0.005     if epoch == 1
2025-07-24T04:20:28.2711680Z         >>> # lr = 0.005     if epoch == 2
2025-07-24T04:20:28.2711860Z         >>> # ...
2025-07-24T04:20:28.2712000Z         >>> # lr = 0.05      if epoch == 20
2025-07-24T04:20:28.2712230Z         >>> # lr = 0.045     if epoch == 21
2025-07-24T04:20:28.2712420Z         >>> # lr = 0.0405    if epoch == 22
2025-07-24T04:20:28.2712670Z         >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-07-24T04:20:28.2712960Z         >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-07-24T04:20:28.2713180Z         >>> scheduler = SequentialLR(
2025-07-24T04:20:28.2713380Z         ...     optimizer,
2025-07-24T04:20:28.2713560Z         ...     schedulers=[scheduler1, scheduler2],
2025-07-24T04:20:28.2713770Z         ...     milestones=[20],
2025-07-24T04:20:28.2713930Z         ... )
2025-07-24T04:20:28.2714060Z         >>> for epoch in range(100):
2025-07-24T04:20:28.2714240Z         >>>     train(...)
2025-07-24T04:20:28.2714440Z         >>>     validate(...)
2025-07-24T04:20:28.2714600Z         >>>     scheduler.step()
2025-07-24T04:20:28.2714720Z 
2025-07-24T04:20:28.2714830Z     .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-07-24T04:20:28.2715050Z     
2025-07-24T04:20:28.2715270Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:28.2715480Z 
2025-07-24T04:20:28.2715890Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-07-24T04:20:28.2716510Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:28.2721760Z Reduce learning rate when a metric has stopped improving.
2025-07-24T04:20:28.2721940Z 
2025-07-24T04:20:28.2722120Z     Models often benefit from reducing the learning rate by a factor
2025-07-24T04:20:28.2722430Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-07-24T04:20:28.2722740Z     quantity and if no improvement is seen for a 'patience' number
2025-07-24T04:20:28.2723000Z     of epochs, the learning rate is reduced.
2025-07-24T04:20:28.2723140Z 
2025-07-24T04:20:28.2723180Z     Args:
2025-07-24T04:20:28.2723330Z         optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:28.2723570Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-07-24T04:20:28.2723830Z             be reduced when the quantity monitored has stopped
2025-07-24T04:20:28.2724100Z             decreasing; in `max` mode it will be reduced when the
2025-07-24T04:20:28.2724380Z             quantity monitored has stopped increasing. Default: 'min'.
2025-07-24T04:20:28.2724670Z         factor (float): Factor by which the learning rate will be
2025-07-24T04:20:28.2724930Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-07-24T04:20:28.2725210Z         patience (int): The number of allowed epochs with no improvement after
2025-07-24T04:20:28.2725500Z             which the learning rate will be reduced.
2025-07-24T04:20:28.2725780Z             For example, consider the case of having no patience (`patience = 0`).
2025-07-24T04:20:28.2726200Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-07-24T04:20:28.2726610Z             In the second epoch, if the performance is worse than the baseline,
2025-07-24T04:20:28.2726900Z             we have what is considered an intolerable epoch.
2025-07-24T04:20:28.2727220Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-07-24T04:20:28.2727560Z             the learning rate is reduced at the end of this epoch.
2025-07-24T04:20:28.2727920Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-07-24T04:20:28.2728370Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-07-24T04:20:28.2728700Z             the learning rate is not adjusted.
2025-07-24T04:20:28.2728890Z             Default: 10.
2025-07-24T04:20:28.2729100Z         threshold (float): Threshold for measuring the new optimum,
2025-07-24T04:20:28.2729390Z             to only focus on significant changes. Default: 1e-4.
2025-07-24T04:20:28.2729700Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-07-24T04:20:28.2729980Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-07-24T04:20:28.2730230Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-07-24T04:20:28.2730480Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-07-24T04:20:28.2730760Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-07-24T04:20:28.2731040Z         cooldown (int): Number of epochs to wait before resuming
2025-07-24T04:20:28.2731320Z             normal operation after lr has been reduced. Default: 0.
2025-07-24T04:20:28.2731600Z         min_lr (float or list): A scalar or a list of scalars. A
2025-07-24T04:20:28.2731890Z             lower bound on the learning rate of all param groups
2025-07-24T04:20:28.2732140Z             or each group respectively. Default: 0.
2025-07-24T04:20:28.2732400Z         eps (float): Minimal decay applied to lr. If the difference
2025-07-24T04:20:28.2732680Z             between new and old lr is smaller than eps, the update is
2025-07-24T04:20:28.2732920Z             ignored. Default: 1e-8.
2025-07-24T04:20:28.2733050Z 
2025-07-24T04:20:28.2733090Z     Example:
2025-07-24T04:20:28.2733220Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:28.2733470Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-07-24T04:20:28.2733810Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-07-24T04:20:28.2734040Z         >>> for epoch in range(10):
2025-07-24T04:20:28.2734210Z         >>>     train(...)
2025-07-24T04:20:28.2734410Z         >>>     val_loss = validate(...)
2025-07-24T04:20:28.2734640Z         >>> # Note that step should be called after validate()
2025-07-24T04:20:28.2734860Z         >>>     scheduler.step(val_loss)
2025-07-24T04:20:28.2734990Z 
2025-07-24T04:20:28.2735120Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-07-24T04:20:28.2735350Z     
2025-07-24T04:20:28.2735660Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-07-24T04:20:28.2735960Z 
2025-07-24T04:20:28.2736020Z     scheduler.step(val_loss)
2025-07-24T04:20:28.2736170Z    ^
2025-07-24T04:20:28.2736610Z msg = Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-07-24T04:20:28.2737210Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:28.2737630Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-07-24T04:20:28.2737890Z 
2025-07-24T04:20:28.2738060Z     The policy cycles the learning rate between two boundaries with a constant frequency,
2025-07-24T04:20:28.2738460Z     as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-07-24T04:20:28.2738820Z     The distance between the two boundaries can be scaled on a per-iteration
2025-07-24T04:20:28.2739080Z     or per-cycle basis.
2025-07-24T04:20:28.2739180Z 
2025-07-24T04:20:28.2739330Z     Cyclical learning rate policy changes the learning rate after every batch.
2025-07-24T04:20:28.2739670Z     `step` should be called after a batch has been used for training.
2025-07-24T04:20:28.2739670Z 
2025-07-24T04:20:28.2739800Z     This class has three built-in policies, as put forth in the paper:
2025-07-24T04:20:28.2739800Z 
2025-07-24T04:20:28.2739930Z     * "triangular": A basic triangular cycle without amplitude scaling.
2025-07-24T04:20:28.2740110Z     * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-07-24T04:20:28.2740310Z     * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-07-24T04:20:28.2740370Z       at each cycle iteration.
2025-07-24T04:20:28.2740370Z 
2025-07-24T04:20:28.2740520Z     This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-07-24T04:20:28.2740560Z 
2025-07-24T04:20:28.2740610Z     Args:
2025-07-24T04:20:28.2740690Z         optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:28.2740800Z         base_lr (float or list): Initial learning rate which is the
2025-07-24T04:20:28.2740910Z             lower boundary in the cycle for each parameter group.
2025-07-24T04:20:28.2741030Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-07-24T04:20:28.2741110Z             for each parameter group. Functionally,
2025-07-24T04:20:28.2741210Z             it defines the cycle amplitude (max_lr - base_lr).
2025-07-24T04:20:28.2741300Z             The lr at any cycle is the sum of base_lr
2025-07-24T04:20:28.2741410Z             and some scaling of the amplitude; therefore
2025-07-24T04:20:28.2741500Z             max_lr may not actually be reached depending on
2025-07-24T04:20:28.2741550Z             scaling function.
2025-07-24T04:20:28.2741660Z         step_size_up (int): Number of training iterations in the
2025-07-24T04:20:28.2741740Z             increasing half of a cycle. Default: 2000
2025-07-24T04:20:28.2741850Z         step_size_down (int): Number of training iterations in the
2025-07-24T04:20:28.2741960Z             decreasing half of a cycle. If step_size_down is None,
2025-07-24T04:20:28.2742040Z             it is set to step_size_up. Default: None
2025-07-24T04:20:28.2742160Z         mode (str): One of {triangular, triangular2, exp_range}.
2025-07-24T04:20:28.2742250Z             Values correspond to policies detailed above.
2025-07-24T04:20:28.2742390Z             If scale_fn is not None, this argument is ignored.
2025-07-24T04:20:28.2742460Z             Default: 'triangular'
2025-07-24T04:20:28.2742560Z         gamma (float): Constant in 'exp_range' scaling function:
2025-07-24T04:20:28.2742620Z             gamma**(cycle iterations)
2025-07-24T04:20:28.2742680Z             Default: 1.0
2025-07-24T04:20:28.2742800Z         scale_fn (function): Custom scaling policy defined by a single
2025-07-24T04:20:28.2742870Z             argument lambda function, where
2025-07-24T04:20:28.2742930Z             0 <= scale_fn(x) <= 1 for all x >= 0.
2025-07-24T04:20:28.2743010Z             If specified, then 'mode' is ignored.
2025-07-24T04:20:28.2743060Z             Default: None
2025-07-24T04:20:28.2743140Z         scale_mode (str): {'cycle', 'iterations'}.
2025-07-24T04:20:28.2743220Z             Defines whether scale_fn is evaluated on
2025-07-24T04:20:28.2743300Z             cycle number or cycle iterations (training
2025-07-24T04:20:28.2743370Z             iterations since start of cycle).
2025-07-24T04:20:28.2743420Z             Default: 'cycle'
2025-07-24T04:20:28.2743550Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-07-24T04:20:28.2743660Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-07-24T04:20:28.2743710Z             Default: True
2025-07-24T04:20:28.2743840Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-07-24T04:20:28.2743970Z             for each parameter group. Note that momentum is cycled inversely
2025-07-24T04:20:28.2744070Z             to learning rate; at the peak of a cycle, momentum is
2025-07-24T04:20:28.2744160Z             'base_momentum' and learning rate is 'max_lr'.
2025-07-24T04:20:28.2744210Z             Default: 0.8
2025-07-24T04:20:28.2744350Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-07-24T04:20:28.2744420Z             for each parameter group. Functionally,
2025-07-24T04:20:28.2744550Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-07-24T04:20:28.2744660Z             The momentum at any cycle is the difference of max_momentum
2025-07-24T04:20:28.2744750Z             and some scaling of the amplitude; therefore
2025-07-24T04:20:28.2744850Z             base_momentum may not actually be reached depending on
2025-07-24T04:20:28.2744970Z             scaling function. Note that momentum is cycled inversely
2025-07-24T04:20:28.2745130Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-07-24T04:20:28.2745200Z             and learning rate is 'base_lr'
2025-07-24T04:20:28.2745250Z             Default: 0.9
2025-07-24T04:20:28.2745380Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-07-24T04:20:28.2745520Z             resuming a training job. Since `step()` should be invoked after each
2025-07-24T04:20:28.2745650Z             batch instead of after each epoch, this number represents the total
2025-07-24T04:20:28.2745790Z             number of *batches* computed, not the total number of epochs computed.
2025-07-24T04:20:28.2745940Z             When last_epoch=-1, the schedule is started from the beginning.
2025-07-24T04:20:28.2745990Z             Default: -1
2025-07-24T04:20:28.2745990Z 
2025-07-24T04:20:28.2746030Z     Example:
2025-07-24T04:20:28.2746090Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:28.2746230Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-07-24T04:20:28.2746330Z         >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-07-24T04:20:28.2746380Z         ...     optimizer,
2025-07-24T04:20:28.2746440Z         ...     base_lr=0.01,
2025-07-24T04:20:28.2746490Z         ...     max_lr=0.1,
2025-07-24T04:20:28.2746540Z         ...     step_size_up=10,
2025-07-24T04:20:28.2746610Z         ... )
2025-07-24T04:20:28.2746700Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-07-24T04:20:28.2746760Z         >>> for epoch in range(10):
2025-07-24T04:20:28.2746850Z         >>>     for batch in data_loader:
2025-07-24T04:20:28.2746910Z         >>>         train_batch(...)
2025-07-24T04:20:28.2746970Z         >>>         scheduler.step()
2025-07-24T04:20:28.2746970Z 
2025-07-24T04:20:28.2747070Z     .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-07-24T04:20:28.2747070Z 
2025-07-24T04:20:28.2747270Z     .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-07-24T04:20:28.2747370Z     .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-07-24T04:20:28.2747410Z     
2025-07-24T04:20:28.2747570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.0800910Z 
2025-07-24T04:20:29.0801590Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1713.
2025-07-24T04:20:29.0802300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.0802690Z Set the learning rate of each parameter group using a cosine annealing schedule.
2025-07-24T04:20:29.0802930Z 
2025-07-24T04:20:29.0803050Z     The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-07-24T04:20:29.0803380Z     is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-07-24T04:20:29.0803690Z     of epochs between two warm restarts in SGDR:
2025-07-24T04:20:29.0803850Z 
2025-07-24T04:20:29.0803910Z     .. math::
2025-07-24T04:20:29.0804110Z         \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-07-24T04:20:29.0804390Z         \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-07-24T04:20:29.0804550Z 
2025-07-24T04:20:29.0804660Z     When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-07-24T04:20:29.0804970Z     When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-07-24T04:20:29.0805160Z 
2025-07-24T04:20:29.0805230Z     It has been proposed in
2025-07-24T04:20:29.0805440Z     `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-07-24T04:20:29.0805620Z 
2025-07-24T04:20:29.0805670Z     Args:
2025-07-24T04:20:29.0805820Z         optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:29.0806080Z         T_0 (int): Number of iterations until the first restart.
2025-07-24T04:20:29.0806420Z         T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-07-24T04:20:29.0806980Z         eta_min (float, optional): Minimum learning rate. Default: 0.
2025-07-24T04:20:29.0807310Z         last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-07-24T04:20:29.0807510Z 
2025-07-24T04:20:29.0807620Z     .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-07-24T04:20:29.0807860Z         https://arxiv.org/abs/1608.03983
2025-07-24T04:20:29.0807990Z 
2025-07-24T04:20:29.0808040Z     Example:
2025-07-24T04:20:29.0808170Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:29.0808400Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-07-24T04:20:29.0808800Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-07-24T04:20:29.0809070Z         ...     optimizer, T_0=20
2025-07-24T04:20:29.0809230Z         ... )
2025-07-24T04:20:29.0809370Z         >>> for epoch in range(100):
2025-07-24T04:20:29.0809540Z         >>>     train(...)
2025-07-24T04:20:29.0809700Z         >>>     validate(...)
2025-07-24T04:20:29.0809860Z         >>>     scheduler.step()
2025-07-24T04:20:29.0809980Z 
2025-07-24T04:20:29.0810120Z     .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-07-24T04:20:29.0810370Z     
2025-07-24T04:20:29.0810590Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.0810810Z 
2025-07-24T04:20:29.0811240Z msg = Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1863.
2025-07-24T04:20:29.0811910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.0812330Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-07-24T04:20:29.0812580Z 
2025-07-24T04:20:29.0812760Z     The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-07-24T04:20:29.0813180Z     learning rate and then from that maximum learning rate to some minimum learning rate much
2025-07-24T04:20:29.0813490Z     lower than the initial learning rate.
2025-07-24T04:20:29.0813770Z     This policy was initially described in the paper `Super-Convergence:
2025-07-24T04:20:29.0814100Z     Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-07-24T04:20:29.0814300Z 
2025-07-24T04:20:29.0814450Z     The 1cycle learning rate policy changes the learning rate after every batch.
2025-07-24T04:20:29.0814790Z     `step` should be called after a batch has been used for training.
2025-07-24T04:20:29.0814980Z 
2025-07-24T04:20:29.0815050Z     This scheduler is not chainable.
2025-07-24T04:20:29.0815170Z 
2025-07-24T04:20:29.0815330Z     Note also that the total number of steps in the cycle can be determined in one
2025-07-24T04:20:29.0815620Z     of two ways (listed in order of precedence):
2025-07-24T04:20:29.0815770Z 
2025-07-24T04:20:29.0815860Z     #. A value for total_steps is explicitly provided.
2025-07-24T04:20:29.0816130Z     #. A number of epochs (epochs) and a number of steps per epoch
2025-07-24T04:20:29.0816380Z        (steps_per_epoch) are provided.
2025-07-24T04:20:29.0816610Z        In this case, the number of total steps is inferred by
2025-07-24T04:20:29.0816850Z        total_steps = epochs * steps_per_epoch
2025-07-24T04:20:29.0816990Z 
2025-07-24T04:20:29.0817140Z     You must either provide a value for total_steps or provide a value for both
2025-07-24T04:20:29.0817420Z     epochs and steps_per_epoch.
2025-07-24T04:20:29.0817540Z 
2025-07-24T04:20:29.0817720Z     The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-07-24T04:20:29.0818150Z     claims that "unpublished work has shown even better results by using only two phases". To
2025-07-24T04:20:29.0818540Z     mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-07-24T04:20:29.0818760Z 
2025-07-24T04:20:29.0818840Z     Args:
2025-07-24T04:20:29.0818990Z         optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:29.0819260Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-07-24T04:20:29.0819520Z             for each parameter group.
2025-07-24T04:20:29.0819770Z         total_steps (int): The total number of steps in the cycle. Note that
2025-07-24T04:20:29.0820110Z             if a value is not provided here, then it must be inferred by providing
2025-07-24T04:20:29.0820390Z             a value for epochs and steps_per_epoch.
2025-07-24T04:20:29.0820590Z             Default: None
2025-07-24T04:20:29.0820820Z         epochs (int): The number of epochs to train for. This is used along
2025-07-24T04:20:29.0821190Z             with steps_per_epoch in order to infer the total number of steps in the cycle
2025-07-24T04:20:29.0821490Z             if a value for total_steps is not provided.
2025-07-24T04:20:29.0821690Z             Default: None
2025-07-24T04:20:29.0821930Z         steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-07-24T04:20:29.0822280Z             used along with epochs in order to infer the total number of steps in the
2025-07-24T04:20:29.0822580Z             cycle if a value for total_steps is not provided.
2025-07-24T04:20:29.0822800Z             Default: None
2025-07-24T04:20:29.0823030Z         pct_start (float): The percentage of the cycle (in number of steps) spent
2025-07-24T04:20:29.0823430Z             increasing the learning rate.
2025-07-24T04:20:29.0823620Z             Default: 0.3
2025-07-24T04:20:29.0823800Z         anneal_strategy (str): {'cos', 'linear'}
2025-07-24T04:20:29.0824120Z             Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-07-24T04:20:29.0824400Z             linear annealing.
2025-07-24T04:20:29.0824560Z             Default: 'cos'
2025-07-24T04:20:29.0824790Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-07-24T04:20:29.0825090Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-07-24T04:20:29.0825320Z             Default: True
2025-07-24T04:20:29.0825550Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-07-24T04:20:29.0825890Z             for each parameter group. Note that momentum is cycled inversely
2025-07-24T04:20:29.0826180Z             to learning rate; at the peak of a cycle, momentum is
2025-07-24T04:20:29.0826440Z             'base_momentum' and learning rate is 'max_lr'.
2025-07-24T04:20:29.0826640Z             Default: 0.85
2025-07-24T04:20:29.0826880Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-07-24T04:20:29.0827160Z             for each parameter group. Functionally,
2025-07-24T04:20:29.0827430Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-07-24T04:20:29.0827690Z             Note that momentum is cycled inversely
2025-07-24T04:20:29.0827960Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-07-24T04:20:29.0828220Z             and learning rate is 'base_lr'
2025-07-24T04:20:29.0828400Z             Default: 0.95
2025-07-24T04:20:29.0828620Z         div_factor (float): Determines the initial learning rate via
2025-07-24T04:20:29.0828870Z             initial_lr = max_lr/div_factor
2025-07-24T04:20:29.0829050Z             Default: 25
2025-07-24T04:20:29.0829280Z         final_div_factor (float): Determines the minimum learning rate via
2025-07-24T04:20:29.0829550Z             min_lr = initial_lr/final_div_factor
2025-07-24T04:20:29.0829740Z             Default: 1e4
2025-07-24T04:20:29.0830000Z         three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-07-24T04:20:29.0830370Z             learning rate according to 'final_div_factor' instead of modifying the second
2025-07-24T04:20:29.0830740Z             phase (the first two phases will be symmetrical about the step indicated by
2025-07-24T04:20:29.0831010Z             'pct_start').
2025-07-24T04:20:29.0831300Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-07-24T04:20:29.0831640Z             resuming a training job. Since `step()` should be invoked after each
2025-07-24T04:20:29.0831980Z             batch instead of after each epoch, this number represents the total
2025-07-24T04:20:29.0832320Z             number of *batches* computed, not the total number of epochs computed.
2025-07-24T04:20:29.0832650Z             When last_epoch=-1, the schedule is started from the beginning.
2025-07-24T04:20:29.0832890Z             Default: -1
2025-07-24T04:20:29.0832980Z 
2025-07-24T04:20:29.0833040Z     Example:
2025-07-24T04:20:29.0833170Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:29.0833400Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-07-24T04:20:29.0833710Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-07-24T04:20:29.0834020Z         >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-07-24T04:20:29.0834320Z         ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-07-24T04:20:29.0834570Z         ... )
2025-07-24T04:20:29.0834700Z         >>> for epoch in range(10):
2025-07-24T04:20:29.0834890Z         >>>     for batch in data_loader:
2025-07-24T04:20:29.0835080Z         >>>         train_batch(...)
2025-07-24T04:20:29.0835260Z         >>>         optimizer.step()
2025-07-24T04:20:29.0835460Z         >>>         scheduler.step()
2025-07-24T04:20:29.0835580Z 
2025-07-24T04:20:29.0835680Z     .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-07-24T04:20:29.0835850Z 
2025-07-24T04:20:29.0836080Z     .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-07-24T04:20:29.0836400Z         https://arxiv.org/abs/1708.07120
2025-07-24T04:20:29.0836570Z     
2025-07-24T04:20:29.0836790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.0837010Z 
2025-07-24T04:20:29.0837390Z msg = Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-07-24T04:20:29.0837990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.0838430Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-07-24T04:20:29.0838710Z 
2025-07-24T04:20:29.0838860Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-07-24T04:20:29.0839220Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-07-24T04:20:29.0844340Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-07-24T04:20:29.0844600Z     (UAI 2018).
2025-07-24T04:20:29.0844690Z 
2025-07-24T04:20:29.0844820Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-07-24T04:20:29.0845170Z     but using exponential weights instead of equal weights across iterations.
2025-07-24T04:20:29.0845390Z 
2025-07-24T04:20:29.0845530Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-07-24T04:20:29.0845890Z     on the device :attr:`device` and allows to compute running averages of the
2025-07-24T04:20:29.0846160Z     parameters of the :attr:`model`.
2025-07-24T04:20:29.0846280Z 
2025-07-24T04:20:29.0846330Z     Args:
2025-07-24T04:20:29.0846500Z         model (torch.nn.Module): model to use with SWA/EMA
2025-07-24T04:20:29.0846810Z         device (torch.device, optional): if provided, the averaged model will be
2025-07-24T04:20:29.0847080Z             stored on the :attr:`device`
2025-07-24T04:20:29.0847340Z         avg_fn (function, optional): the averaging function used to update
2025-07-24T04:20:29.0847670Z             parameters; the function must take in the current value of the
2025-07-24T04:20:29.0848000Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-07-24T04:20:29.0848320Z             parameter, and the number of models already averaged; if None,
2025-07-24T04:20:29.0848700Z             an equally weighted average is used (default: None)
2025-07-24T04:20:29.0849010Z         multi_avg_fn (function, optional): the averaging function used to update
2025-07-24T04:20:29.0849350Z             parameters inplace; the function must take in the current values of the
2025-07-24T04:20:29.0849740Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-07-24T04:20:29.0850110Z             parameters as a list, and the number of models already averaged; if None,
2025-07-24T04:20:29.0850420Z             an equally weighted average is used (default: None)
2025-07-24T04:20:29.0850710Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-07-24T04:20:29.0851060Z             both the parameters and the buffers of the model. (default: ``False``)
2025-07-24T04:20:29.0851270Z 
2025-07-24T04:20:29.0851320Z     Example:
2025-07-24T04:20:29.0851470Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:29.0851700Z         >>> loader, optimizer, model, loss_fn = ...
2025-07-24T04:20:29.0851950Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-07-24T04:20:29.0852270Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-07-24T04:20:29.0852550Z         >>>                                     T_max=300)
2025-07-24T04:20:29.0852770Z         >>> swa_start = 160
2025-07-24T04:20:29.0852970Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-07-24T04:20:29.0853180Z         >>> for i in range(300):
2025-07-24T04:20:29.0853400Z         >>>      for input, target in loader:
2025-07-24T04:20:29.0853600Z         >>>          optimizer.zero_grad()
2025-07-24T04:20:29.0853830Z         >>>          loss_fn(model(input), target).backward()
2025-07-24T04:20:29.0854040Z         >>>          optimizer.step()
2025-07-24T04:20:29.0854220Z         >>>      if i > swa_start:
2025-07-24T04:20:29.0854430Z         >>>          swa_model.update_parameters(model)
2025-07-24T04:20:29.0854640Z         >>>          swa_scheduler.step()
2025-07-24T04:20:29.0854820Z         >>>      else:
2025-07-24T04:20:29.0854970Z         >>>          scheduler.step()
2025-07-24T04:20:29.0855140Z         >>>
2025-07-24T04:20:29.0855310Z         >>> # Update bn statistics for the swa_model at the end
2025-07-24T04:20:29.0855570Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-07-24T04:20:29.0855740Z 
2025-07-24T04:20:29.0855920Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-07-24T04:20:29.0856290Z     If no averaging function is provided, the default is to compute
2025-07-24T04:20:29.0856570Z     equally-weighted average of the weights (SWA).
2025-07-24T04:20:29.0856730Z 
2025-07-24T04:20:29.0856780Z     Example:
2025-07-24T04:20:29.0856930Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:29.0857200Z         >>> # Compute exponential moving averages of the weights and buffers
2025-07-24T04:20:29.0857510Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-07-24T04:20:29.0857810Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-07-24T04:20:29.0858020Z 
2025-07-24T04:20:29.0858070Z     .. note::
2025-07-24T04:20:29.0858290Z         When using SWA/EMA with models containing Batch Normalization you may
2025-07-24T04:20:29.0858620Z         need to update the activation statistics for Batch Normalization.
2025-07-24T04:20:29.0858960Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-07-24T04:20:29.0859310Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-07-24T04:20:29.0859670Z         statistics in a post-training step by passing data through the model. The
2025-07-24T04:20:29.0860020Z         second does it during the parameter update phase by averaging all buffers.
2025-07-24T04:20:29.0860430Z         Empirical evidence has shown that updating the statistics in normalization
2025-07-24T04:20:29.0860790Z         layers increases accuracy, but you may wish to empirically test which
2025-07-24T04:20:29.0861080Z         approach yields the best results in your problem.
2025-07-24T04:20:29.0861250Z 
2025-07-24T04:20:29.0861300Z     .. note::
2025-07-24T04:20:29.0861530Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-07-24T04:20:29.0861760Z 
2025-07-24T04:20:29.0861810Z     .. note::
2025-07-24T04:20:29.0862010Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-07-24T04:20:29.0862310Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-07-24T04:20:29.0862660Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-07-24T04:20:29.0862970Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-07-24T04:20:29.0863210Z         to update the parameters.
2025-07-24T04:20:29.0863340Z 
2025-07-24T04:20:29.0863470Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-07-24T04:20:29.0863750Z         https://arxiv.org/abs/1803.05407
2025-07-24T04:20:29.0864030Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-07-24T04:20:29.0864290Z         Average:
2025-07-24T04:20:29.0864430Z         https://arxiv.org/abs/1806.05594
2025-07-24T04:20:29.0864710Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-07-24T04:20:29.0864970Z         https://arxiv.org/abs/1904.11943
2025-07-24T04:20:29.0865270Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-07-24T04:20:29.0865530Z         Generalizes Well:
2025-07-24T04:20:29.0865700Z         https://arxiv.org/abs/2001.02312
2025-07-24T04:20:29.0865890Z     .. _Polyak averaging:
2025-07-24T04:20:29.0866090Z         https://paperswithcode.com/method/polyak-averaging
2025-07-24T04:20:29.0866320Z     
2025-07-24T04:20:29.0866540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1167740Z 
2025-07-24T04:20:29.1168320Z msg = Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-07-24T04:20:29.1168960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1169330Z Anneals the learning rate in each parameter group to a fixed value.
2025-07-24T04:20:29.1169530Z 
2025-07-24T04:20:29.1169680Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-07-24T04:20:29.1170030Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-07-24T04:20:29.1170240Z 
2025-07-24T04:20:29.1170290Z     Args:
2025-07-24T04:20:29.1170480Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-07-24T04:20:29.1170790Z         swa_lrs (float or list): the learning rate value for all param groups
2025-07-24T04:20:29.1171080Z             together or separately for each group.
2025-07-24T04:20:29.1171360Z         annealing_epochs (int): number of epochs in the annealing phase
2025-07-24T04:20:29.1171610Z             (default: 10)
2025-07-24T04:20:29.1171850Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-07-24T04:20:29.1172190Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-07-24T04:20:29.1172440Z             (default: "cos")
2025-07-24T04:20:29.1172660Z         last_epoch (int): the index of the last epoch (default: -1)
2025-07-24T04:20:29.1172840Z 
2025-07-24T04:20:29.1172950Z     The :class:`SWALR` scheduler can be used together with other
2025-07-24T04:20:29.1173270Z     schedulers to switch to a constant learning rate late in the training
2025-07-24T04:20:29.1173530Z     as in the example below.
2025-07-24T04:20:29.1173640Z 
2025-07-24T04:20:29.1173690Z     Example:
2025-07-24T04:20:29.1173850Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-07-24T04:20:29.1174220Z         >>> loader, optimizer, model = ...
2025-07-24T04:20:29.1174420Z         >>> lr_lambda = lambda epoch: 0.9
2025-07-24T04:20:29.1174690Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-07-24T04:20:29.1174950Z         >>>        lr_lambda=lr_lambda)
2025-07-24T04:20:29.1175190Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-07-24T04:20:29.1175470Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-07-24T04:20:29.1175710Z         >>> swa_start = 160
2025-07-24T04:20:29.1175870Z         >>> for i in range(300):
2025-07-24T04:20:29.1176060Z         >>>      for input, target in loader:
2025-07-24T04:20:29.1176320Z         >>>          optimizer.zero_grad()
2025-07-24T04:20:29.1176540Z         >>>          loss_fn(model(input), target).backward()
2025-07-24T04:20:29.1176760Z         >>>          optimizer.step()
2025-07-24T04:20:29.1176940Z         >>>      if i > swa_start:
2025-07-24T04:20:29.1177130Z         >>>          swa_scheduler.step()
2025-07-24T04:20:29.1177300Z         >>>      else:
2025-07-24T04:20:29.1177450Z         >>>          scheduler.step()
2025-07-24T04:20:29.1177580Z 
2025-07-24T04:20:29.1177710Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-07-24T04:20:29.1177990Z         https://arxiv.org/abs/1803.05407
2025-07-24T04:20:29.1178170Z     
2025-07-24T04:20:29.1178450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1178670Z 
2025-07-24T04:20:29.1179130Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-07-24T04:20:29.1179760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1180040Z Load the optimizer state.
2025-07-24T04:20:29.1180140Z 
2025-07-24T04:20:29.1180190Z         Args:
2025-07-24T04:20:29.1180400Z             state_dict (dict): optimizer state. Should be an object returned
2025-07-24T04:20:29.1180670Z                 from a call to :meth:`state_dict`.
2025-07-24T04:20:29.1180820Z 
2025-07-24T04:20:29.1180880Z         .. warning::
2025-07-24T04:20:29.1181190Z             Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-07-24T04:20:29.1181600Z             as calling it beforehand will overwrite the loaded learning rates.
2025-07-24T04:20:29.1181810Z 
2025-07-24T04:20:29.1181850Z         .. note::
2025-07-24T04:20:29.1182130Z             The names of the parameters (if they exist under the "param_names" key of each param group
2025-07-24T04:20:29.1182500Z             in :meth:`state_dict`) will not affect the loading process.
2025-07-24T04:20:29.1182880Z             To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-07-24T04:20:29.1183250Z             differ from those initialized in the optimizer),
2025-07-24T04:20:29.1183620Z             a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-07-24T04:20:29.1183940Z             accordingly.
2025-07-24T04:20:29.1184230Z             If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-07-24T04:20:29.1184680Z             the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-07-24T04:20:29.1185050Z             the optimizer ``param_names`` will remain unchanged.
2025-07-24T04:20:29.1185220Z 
2025-07-24T04:20:29.1185280Z         Example:
2025-07-24T04:20:29.1185420Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:29.1185610Z             >>> model = torch.nn.Linear(10, 10)
2025-07-24T04:20:29.1185850Z             >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-07-24T04:20:29.1186130Z             >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-07-24T04:20:29.1186350Z             ...     optim,
2025-07-24T04:20:29.1186570Z             ...     start_factor=0.1,
2025-07-24T04:20:29.1186750Z             ...     end_factor=1,
2025-07-24T04:20:29.1186920Z             ...     total_iters=20,
2025-07-24T04:20:29.1187090Z             ... )
2025-07-24T04:20:29.1187290Z             >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-07-24T04:20:29.1187520Z             ...     optim,
2025-07-24T04:20:29.1187670Z             ...     T_max=80,
2025-07-24T04:20:29.1187840Z             ...     eta_min=3e-5,
2025-07-24T04:20:29.1188000Z             ... )
2025-07-24T04:20:29.1188180Z             >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-07-24T04:20:29.1188380Z             ...     optim,
2025-07-24T04:20:29.1188600Z             ...     schedulers=[scheduler1, scheduler2],
2025-07-24T04:20:29.1188800Z             ...     milestones=[20],
2025-07-24T04:20:29.1188970Z             ... )
2025-07-24T04:20:29.1189150Z             >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-07-24T04:20:29.1189430Z             >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-07-24T04:20:29.1189730Z             >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-07-24T04:20:29.1189910Z 
2025-07-24T04:20:29.1189950Z         
2025-07-24T04:20:29.1190170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1190390Z 
2025-07-24T04:20:29.1190840Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-07-24T04:20:29.1191540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1191770Z 
2025-07-24T04:20:29.1191900Z Context passed to policy function during selective checkpointing.
2025-07-24T04:20:29.1192100Z 
2025-07-24T04:20:29.1192240Z This class is used to pass relevant metadata to the policy function during
2025-07-24T04:20:29.1192610Z selective checkpointing. The metadata includes whether the current invocation
2025-07-24T04:20:29.1192940Z of the policy function is during recomputation or not.
2025-07-24T04:20:29.1193110Z 
2025-07-24T04:20:29.1193160Z Example:
2025-07-24T04:20:29.1193280Z     >>> # xdoctest: +SKIP(stub)
2025-07-24T04:20:29.1193440Z     >>>
2025-07-24T04:20:29.1193580Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-07-24T04:20:29.1193790Z     >>>    print(ctx.is_recompute)
2025-07-24T04:20:29.1193950Z     >>>
2025-07-24T04:20:29.1194180Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-07-24T04:20:29.1194460Z     >>>
2025-07-24T04:20:29.1194620Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-07-24T04:20:29.1194810Z     >>>     fn, x, y,
2025-07-24T04:20:29.1194960Z     >>>     use_reentrant=False,
2025-07-24T04:20:29.1195130Z     >>>     context_fn=context_fn,
2025-07-24T04:20:29.1195300Z     >>> )
2025-07-24T04:20:29.1195370Z 
2025-07-24T04:20:29.1195520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1195740Z 
2025-07-24T04:20:29.1196180Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-07-24T04:20:29.1196840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1197070Z 
2025-07-24T04:20:29.1197210Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-07-24T04:20:29.1197430Z 
2025-07-24T04:20:29.1197560Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-07-24T04:20:29.1197850Z operations are recomputed during the backward pass.
2025-07-24T04:20:29.1198020Z 
2025-07-24T04:20:29.1198060Z Args:
2025-07-24T04:20:29.1198190Z     policy_fn_or_list (Callable or List):
2025-07-24T04:20:29.1198420Z       - If a policy function is provided, it should accept a
2025-07-24T04:20:29.1198830Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-07-24T04:20:29.1199170Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-07-24T04:20:29.1199510Z         indicating whether the execution of the op should be recomputed or not.
2025-07-24T04:20:29.1199850Z       - If a list of operations is provided, it is equivalent to a policy
2025-07-24T04:20:29.1200170Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-07-24T04:20:29.1200480Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-07-24T04:20:29.1200720Z         operations.
2025-07-24T04:20:29.1200950Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-07-24T04:20:29.1201300Z         raised if any tensors cached by selective activation checkpoint are
2025-07-24T04:20:29.1201630Z         mutated in order to ensure correctness. If set to `True`, this check
2025-07-24T04:20:29.1201910Z         is disabled.
2025-07-24T04:20:29.1202050Z Returns:
2025-07-24T04:20:29.1202180Z     A tuple of two context managers.
2025-07-24T04:20:29.1202300Z 
2025-07-24T04:20:29.1202350Z Example:
2025-07-24T04:20:29.1202480Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-07-24T04:20:29.1202660Z     >>> import functools
2025-07-24T04:20:29.1202800Z     >>>
2025-07-24T04:20:29.1202940Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-07-24T04:20:29.1203220Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-07-24T04:20:29.1203410Z     >>>
2025-07-24T04:20:29.1203520Z     >>> ops_to_save = [
2025-07-24T04:20:29.1203690Z     >>>    torch.ops.aten.mm.default,
2025-07-24T04:20:29.1203860Z     >>> ]
2025-07-24T04:20:29.1204010Z     >>>
2025-07-24T04:20:29.1204150Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-07-24T04:20:29.1204350Z     >>>    if op in ops_to_save:
2025-07-24T04:20:29.1204540Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-07-24T04:20:29.1204730Z     >>>    else:
2025-07-24T04:20:29.1204900Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-07-24T04:20:29.1205110Z     >>>
2025-07-24T04:20:29.1205340Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-07-24T04:20:29.1205610Z     >>>
2025-07-24T04:20:29.1205730Z     >>> # or equivalently
2025-07-24T04:20:29.1206000Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-07-24T04:20:29.1206270Z     >>>
2025-07-24T04:20:29.1206380Z     >>> def fn(x, y):
2025-07-24T04:20:29.1206590Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-07-24T04:20:29.1206830Z     >>>
2025-07-24T04:20:29.1206980Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-07-24T04:20:29.1207180Z     >>>     fn, x, y,
2025-07-24T04:20:29.1207330Z     >>>     use_reentrant=False,
2025-07-24T04:20:29.1207500Z     >>>     context_fn=context_fn,
2025-07-24T04:20:29.1207660Z     >>> )
2025-07-24T04:20:29.1207730Z 
2025-07-24T04:20:29.1207890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1208110Z 
2025-07-24T04:20:29.1208540Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-07-24T04:20:29.1209180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1209400Z 
2025-07-24T04:20:29.1209590Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-07-24T04:20:29.1209830Z 
2025-07-24T04:20:29.1210010Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-07-24T04:20:29.1210410Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-07-24T04:20:29.1210770Z server like load. It can emulate multiple calling threads to a single module
2025-07-24T04:20:29.1211120Z provided. In the future we plan to enhance this component to support inter and
2025-07-24T04:20:29.1211540Z intra-op parallelism as well as multiple models running in a single process.
2025-07-24T04:20:29.1211760Z 
2025-07-24T04:20:29.1211910Z Please note that even though nn.Module is supported, it might incur an overhead
2025-07-24T04:20:29.1212270Z from the need to hold GIL every time we execute Python code or pass around
2025-07-24T04:20:29.1212610Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-07-24T04:20:29.1212960Z model for inference deployment it is better to switch to using it in this
2025-07-24T04:20:29.1213220Z benchmark.
2025-07-24T04:20:29.1213300Z 
2025-07-24T04:20:29.1213350Z Example::
2025-07-24T04:20:29.1213420Z 
2025-07-24T04:20:29.1213490Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:29.1213760Z     >>> from torch.utils import ThroughputBenchmark
2025-07-24T04:20:29.1213990Z     >>> bench = ThroughputBenchmark(my_module)
2025-07-24T04:20:29.1214230Z     >>> # Pre-populate benchmark's data set with the inputs
2025-07-24T04:20:29.1214450Z     >>> for input in inputs:
2025-07-24T04:20:29.1219700Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-07-24T04:20:29.1219990Z     ...     bench.add_input(input[0], x2=input[1])
2025-07-24T04:20:29.1220260Z     >>> # Inputs supplied above are randomly used during the execution
2025-07-24T04:20:29.1220510Z     >>> stats = bench.benchmark(
2025-07-24T04:20:29.1220690Z     ...     num_calling_threads=4,
2025-07-24T04:20:29.1220960Z     ...     num_warmup_iters = 100,
2025-07-24T04:20:29.1221150Z     ...     num_iters = 1000,
2025-07-24T04:20:29.1221300Z     ... )
2025-07-24T04:20:29.1221570Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-07-24T04:20:29.1221870Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-07-24T04:20:29.1222050Z 
2025-07-24T04:20:29.1222200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1222450Z 
2025-07-24T04:20:29.1222860Z msg = Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-07-24T04:20:29.1223470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1223780Z Register a container-like type as pytree node.
2025-07-24T04:20:29.1223930Z 
2025-07-24T04:20:29.1223970Z     Args:
2025-07-24T04:20:29.1224160Z         cls (type): A Python type to treat as an internal pytree node.
2025-07-24T04:20:29.1224510Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-07-24T04:20:29.1224900Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-07-24T04:20:29.1225300Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-07-24T04:20:29.1225620Z             passed to the ``unflatten_fn``.
2025-07-24T04:20:29.1225920Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-07-24T04:20:29.1226310Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-07-24T04:20:29.1226640Z             The function should return an instance of ``cls``.
2025-07-24T04:20:29.1226960Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-07-24T04:20:29.1227300Z             qualified name used when serializing the tree spec.
2025-07-24T04:20:29.1227650Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-07-24T04:20:29.1228070Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-07-24T04:20:29.1228480Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-07-24T04:20:29.1228890Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-07-24T04:20:29.1229340Z             how to convert the custom json dumpable representation of the context back to the
2025-07-24T04:20:29.1229720Z             original context. This is used for json deserialization, which is being used in
2025-07-24T04:20:29.1230020Z             :mod:`torch.export` right now.
2025-07-24T04:20:29.1230160Z 
2025-07-24T04:20:29.1230200Z     Example::
2025-07-24T04:20:29.1230290Z 
2025-07-24T04:20:29.1230350Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:29.1230540Z         >>> # Registry a Python type with lambda functions
2025-07-24T04:20:29.1230760Z         >>> register_pytree_node(
2025-07-24T04:20:29.1230930Z         ...     set,
2025-07-24T04:20:29.1231090Z         ...     lambda s: (sorted(s), None, None),
2025-07-24T04:20:29.1231360Z         ...     lambda children, _: set(children),
2025-07-24T04:20:29.1231550Z         ... )
2025-07-24T04:20:29.1231670Z     
2025-07-24T04:20:29.1231880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1232100Z 
2025-07-24T04:20:29.1232500Z msg = Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1147.
2025-07-24T04:20:29.1233110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1233330Z 
2025-07-24T04:20:29.1233420Z Create a :class:`setuptools.Extension` for C++.
2025-07-24T04:20:29.1233570Z 
2025-07-24T04:20:29.1233780Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:29.1234140Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-07-24T04:20:29.1234380Z 
2025-07-24T04:20:29.1234520Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:29.1234800Z constructor. Full list arguments can be found at
2025-07-24T04:20:29.1235150Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-07-24T04:20:29.1235410Z 
2025-07-24T04:20:29.1235470Z .. warning::
2025-07-24T04:20:29.1235690Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:29.1236020Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:29.1236340Z     the user's responsibility in their library to not use APIs from
2025-07-24T04:20:29.1236670Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:29.1237020Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:29.1237350Z     example, to give access to custom ops from python, the library should
2025-07-24T04:20:29.1237630Z     register the ops through the dispatcher.
2025-07-24T04:20:29.1237770Z 
2025-07-24T04:20:29.1237910Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:29.1238240Z     as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:29.1238560Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:29.1238890Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:29.1239290Z     safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:29.1239630Z     different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:29.1239880Z     CPython version of choice.
2025-07-24T04:20:29.1240000Z 
2025-07-24T04:20:29.1240050Z Example:
2025-07-24T04:20:29.1240160Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:29.1240360Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:29.1240580Z     >>> from setuptools import setup
2025-07-24T04:20:29.1240850Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-07-24T04:20:29.1241100Z     >>> setup(
2025-07-24T04:20:29.1241230Z     ...     name='extension',
2025-07-24T04:20:29.1241390Z     ...     ext_modules=[
2025-07-24T04:20:29.1241550Z     ...         CppExtension(
2025-07-24T04:20:29.1241720Z     ...             name='extension',
2025-07-24T04:20:29.1242010Z     ...             sources=['extension.cpp'],
2025-07-24T04:20:29.1242220Z     ...             extra_compile_args=['-g'],
2025-07-24T04:20:29.1242450Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-07-24T04:20:29.1242660Z     ...     ],
2025-07-24T04:20:29.1242780Z     ...     cmdclass={
2025-07-24T04:20:29.1242940Z     ...         'build_ext': BuildExtension
2025-07-24T04:20:29.1243110Z     ...     })
2025-07-24T04:20:29.1243190Z 
2025-07-24T04:20:29.1243340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.1243560Z 
2025-07-24T04:20:29.1243960Z msg = Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1217.
2025-07-24T04:20:29.1244600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.1244820Z 
2025-07-24T04:20:29.1244920Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-07-24T04:20:29.1245080Z 
2025-07-24T04:20:29.1245220Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:29.1245560Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-07-24T04:20:29.1245880Z extension. This includes the CUDA include path, library path and runtime
2025-07-24T04:20:29.1246130Z library.
2025-07-24T04:20:29.1246200Z 
2025-07-24T04:20:29.1246340Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:29.1246620Z constructor. Full list arguments can be found at
2025-07-24T04:20:29.1247020Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-07-24T04:20:29.1247290Z 
2025-07-24T04:20:29.1247330Z .. warning::
2025-07-24T04:20:29.1247550Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:29.1247880Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:29.1248200Z     the user's responsibility in their library to not use APIs from
2025-07-24T04:20:29.1248530Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:29.1248870Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:29.1249190Z     example, to give access to custom ops from python, the library should
2025-07-24T04:20:29.1249460Z     register the ops through the dispatcher.
2025-07-24T04:20:29.1249600Z 
2025-07-24T04:20:29.1249740Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:29.1250070Z     as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:29.1250380Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:29.1250700Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:29.1251030Z     safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:29.1251360Z     different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:29.1251610Z     CPython version of choice.
2025-07-24T04:20:29.1251730Z 
2025-07-24T04:20:29.1251770Z Example:
2025-07-24T04:20:29.1251890Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:29.1252080Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:29.1252290Z     >>> from setuptools import setup
2025-07-24T04:20:29.1252560Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-07-24T04:20:29.1252810Z     >>> setup(
2025-07-24T04:20:29.1252940Z     ...     name='cuda_extension',
2025-07-24T04:20:29.1253110Z     ...     ext_modules=[
2025-07-24T04:20:29.1253270Z     ...         CUDAExtension(
2025-07-24T04:20:29.1253450Z     ...                 name='cuda_extension',
2025-07-24T04:20:29.1253680Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:29.1253930Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-07-24T04:20:29.1254210Z     ...                                     'nvcc': ['-O2']},
2025-07-24T04:20:29.1254460Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-07-24T04:20:29.1254660Z     ...     ],
2025-07-24T04:20:29.1254780Z     ...     cmdclass={
2025-07-24T04:20:29.1254940Z     ...         'build_ext': BuildExtension
2025-07-24T04:20:29.1255120Z     ...     })
2025-07-24T04:20:29.1255190Z 
2025-07-24T04:20:29.1255250Z Compute capabilities:
2025-07-24T04:20:29.1255340Z 
2025-07-24T04:20:29.1255520Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-07-24T04:20:29.1255950Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-07-24T04:20:29.1256380Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-07-24T04:20:29.1256800Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-07-24T04:20:29.1257220Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-07-24T04:20:29.1257530Z support (see below for details on PTX).
2025-07-24T04:20:29.1257660Z 
2025-07-24T04:20:29.1257850Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-07-24T04:20:29.1258170Z CCs you want the extension to support:
2025-07-24T04:20:29.1258300Z 
2025-07-24T04:20:29.1258440Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-07-24T04:20:29.1258770Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-07-24T04:20:29.1258980Z 
2025-07-24T04:20:29.1259200Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-07-24T04:20:29.1259730Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-07-24T04:20:29.1260160Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-07-24T04:20:29.1260590Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-07-24T04:20:29.1261050Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-07-24T04:20:29.1261470Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-07-24T04:20:29.1261890Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-07-24T04:20:29.1262330Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-07-24T04:20:29.1262640Z "8.0 8.6" would be better.
2025-07-24T04:20:29.1262750Z 
2025-07-24T04:20:29.1262930Z Note that while it's possible to include all supported archs, the more archs get included the
2025-07-24T04:20:29.1263350Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-07-24T04:20:29.1263590Z 
2025-07-24T04:20:29.1263790Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-07-24T04:20:29.1264190Z To workaround the issue, move python binding logic to pure C++ file.
2025-07-24T04:20:29.1264380Z 
2025-07-24T04:20:29.1264430Z Example use:
2025-07-24T04:20:29.1264560Z     #include <ATen/ATen.h>
2025-07-24T04:20:29.1264750Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-07-24T04:20:29.1264910Z 
2025-07-24T04:20:29.1264950Z Instead of:
2025-07-24T04:20:29.1265080Z     #include <torch/extension.h>
2025-07-24T04:20:29.1265290Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-07-24T04:20:29.1265460Z 
2025-07-24T04:20:29.1265620Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-07-24T04:20:29.1266150Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-07-24T04:20:29.1266510Z 
2025-07-24T04:20:29.1266570Z Relocatable device code linking:
2025-07-24T04:20:29.1266780Z 
2025-07-24T04:20:29.1266950Z If you want to reference device symbols across compilation units (across object files),
2025-07-24T04:20:29.1267350Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-07-24T04:20:29.1267870Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-07-24T04:20:29.1268350Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-07-24T04:20:29.1268800Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-07-24T04:20:29.1269170Z helps reduce the protentional perf degradation of `-rdc`.
2025-07-24T04:20:29.1269510Z Note that it needs to be used at both steps to be useful.
2025-07-24T04:20:29.1269680Z 
2025-07-24T04:20:29.1269900Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-07-24T04:20:29.1270290Z There is also a case where `-dlink` is used without `-rdc`:
2025-07-24T04:20:29.1270620Z when an extension is linked against a static lib containing rdc-compiled objects
2025-07-24T04:20:29.1270970Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-07-24T04:20:29.1271160Z 
2025-07-24T04:20:29.1271290Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-07-24T04:20:29.1271480Z 
2025-07-24T04:20:29.1271520Z Example:
2025-07-24T04:20:29.1271660Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:29.1271860Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:29.1272060Z     >>> CUDAExtension(
2025-07-24T04:20:29.1272260Z     ...        name='cuda_extension',
2025-07-24T04:20:29.1272490Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:29.1272710Z     ...        dlink=True,
2025-07-24T04:20:29.1272880Z     ...        dlink_libraries=["dlink_lib"],
2025-07-24T04:20:29.1273090Z     ...        extra_compile_args={'cxx': ['-g'],
2025-07-24T04:20:29.1273310Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-07-24T04:20:29.1273460Z 
2025-07-24T04:20:29.1273610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.3504050Z 
2025-07-24T04:20:29.3504760Z msg = Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1408.
2025-07-24T04:20:29.3505480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.3505720Z 
2025-07-24T04:20:29.3505830Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-07-24T04:20:29.3506010Z 
2025-07-24T04:20:29.3506170Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:29.3506520Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-07-24T04:20:29.3506770Z extension.
2025-07-24T04:20:29.3506850Z 
2025-07-24T04:20:29.3506980Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:29.3507230Z constructor.
2025-07-24T04:20:29.3507320Z 
2025-07-24T04:20:29.3507380Z .. warning::
2025-07-24T04:20:29.3507600Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:29.3507960Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:29.3508280Z     the user's responsibility in their library to not use APIs from
2025-07-24T04:20:29.3508610Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:29.3508950Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:29.3509290Z     example, to give access to custom ops from python, the library should
2025-07-24T04:20:29.3509570Z     register the ops through the dispatcher.
2025-07-24T04:20:29.3509720Z 
2025-07-24T04:20:29.3509850Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:29.3510360Z     as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:29.3510680Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:29.3511010Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:29.3511350Z     safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:29.3511680Z     different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:29.3511940Z     CPython version of choice.
2025-07-24T04:20:29.3512050Z 
2025-07-24T04:20:29.3512100Z Example:
2025-07-24T04:20:29.3512220Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:29.3512410Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:29.3512790Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-07-24T04:20:29.3513050Z     >>> setup(
2025-07-24T04:20:29.3513190Z     ...     name='xpu_extension',
2025-07-24T04:20:29.3513360Z     ...     ext_modules=[
2025-07-24T04:20:29.3513520Z     ...     SyclExtension(
2025-07-24T04:20:29.3513690Z     ...                 name='xpu_extension',
2025-07-24T04:20:29.3513930Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-07-24T04:20:29.3514230Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-07-24T04:20:29.3514450Z     ...     ],
2025-07-24T04:20:29.3514580Z     ...     cmdclass={
2025-07-24T04:20:29.3514790Z     ...         'build_ext': BuildExtension
2025-07-24T04:20:29.3514970Z     ...     })
2025-07-24T04:20:29.3515050Z 
2025-07-24T04:20:29.3515300Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-07-24T04:20:29.3515710Z building process of the extension. If down the road a new card is installed the
2025-07-24T04:20:29.3516090Z extension may need to be recompiled. You can override the default behavior using
2025-07-24T04:20:29.3516500Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-07-24T04:20:29.3516800Z to support:
2025-07-24T04:20:29.3516880Z 
2025-07-24T04:20:29.3517010Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-07-24T04:20:29.3517200Z 
2025-07-24T04:20:29.3517380Z Note that while it's possible to include all supported archs, the more archs get included the
2025-07-24T04:20:29.3517800Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-07-24T04:20:29.3518040Z 
2025-07-24T04:20:29.3518130Z Note: Ninja is required to build SyclExtension.
2025-07-24T04:20:29.3518280Z 
2025-07-24T04:20:29.3518430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.3518650Z 
2025-07-24T04:20:29.3519030Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1585.
2025-07-24T04:20:29.3519610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.3519840Z 
2025-07-24T04:20:29.3519930Z Load a PyTorch C++ extension just-in-time (JIT).
2025-07-24T04:20:29.3520080Z 
2025-07-24T04:20:29.3520210Z To load an extension, a Ninja build file is emitted, which is used to
2025-07-24T04:20:29.3520520Z compile the given sources into a dynamic library. This library is
2025-07-24T04:20:29.3520850Z subsequently loaded into the current Python process as a module and
2025-07-24T04:20:29.3521130Z returned from this function, ready for use.
2025-07-24T04:20:29.3521270Z 
2025-07-24T04:20:29.3521400Z By default, the directory to which the build file is emitted and the
2025-07-24T04:20:29.3521740Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-07-24T04:20:29.3522070Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-07-24T04:20:29.3522400Z the name of the extension. This location can be overridden in two ways.
2025-07-24T04:20:29.3522720Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-07-24T04:20:29.3523110Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-07-24T04:20:29.3523440Z into subfolders of this directory. Second, if the ``build_directory``
2025-07-24T04:20:29.3523780Z argument to this function is supplied, it overrides the entire path, i.e.
2025-07-24T04:20:29.3524090Z the library will be compiled into that folder directly.
2025-07-24T04:20:29.3524270Z 
2025-07-24T04:20:29.3524400Z To compile the sources, the default system compiler (``c++``) is used,
2025-07-24T04:20:29.3524740Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-07-24T04:20:29.3525100Z additional arguments to the compilation process, ``extra_cflags`` or
2025-07-24T04:20:29.3525470Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-07-24T04:20:29.3525810Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-07-24T04:20:29.3526100Z ``extra_cflags`` to pass further include directories.
2025-07-24T04:20:29.3526260Z 
2025-07-24T04:20:29.3526400Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-07-24T04:20:29.3526730Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-07-24T04:20:29.3527050Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-07-24T04:20:29.3527400Z passing the CUDA lib64 directory as a library directory, and linking
2025-07-24T04:20:29.3527710Z ``cudart``. You can pass additional flags to nvcc via
2025-07-24T04:20:29.3528000Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-07-24T04:20:29.3533170Z heuristics for finding the CUDA install directory are used, which usually
2025-07-24T04:20:29.3533530Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-07-24T04:20:29.3533780Z safest option.
2025-07-24T04:20:29.3533860Z 
2025-07-24T04:20:29.3534010Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-07-24T04:20:29.3534340Z files (``.sycl``) along with other sources. Such files will be detected
2025-07-24T04:20:29.3534670Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-07-24T04:20:29.3534990Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-07-24T04:20:29.3535300Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-07-24T04:20:29.3535610Z SYCL compiler is expected to be found via system PATH environment
2025-07-24T04:20:29.3535850Z variable.
2025-07-24T04:20:29.3535920Z 
2025-07-24T04:20:29.3535970Z Args:
2025-07-24T04:20:29.3536170Z     name: The name of the extension to build. This MUST be the same as the
2025-07-24T04:20:29.3536420Z         name of the pybind11 module!
2025-07-24T04:20:29.3536670Z     sources: A list of relative or absolute paths to C++ source files.
2025-07-24T04:20:29.3537000Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-07-24T04:20:29.3537330Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-07-24T04:20:29.3537600Z         when building CUDA sources.
2025-07-24T04:20:29.3537850Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-07-24T04:20:29.3538130Z         compiler when building SYCL sources.
2025-07-24T04:20:29.3538390Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-07-24T04:20:29.3538730Z     extra_include_paths: optional list of include directories to forward
2025-07-24T04:20:29.3538980Z         to the build.
2025-07-24T04:20:29.3539190Z     build_directory: optional path to use as build workspace.
2025-07-24T04:20:29.3539480Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-07-24T04:20:29.3539790Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-07-24T04:20:29.3540090Z         the build. If set to ``None`` (default), this value is
2025-07-24T04:20:29.3540380Z         automatically determined based on the existence of ``.cu`` or
2025-07-24T04:20:29.3540730Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-07-24T04:20:29.3540960Z         and libraries to be included.
2025-07-24T04:20:29.3541220Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-07-24T04:20:29.3541520Z         the build. If set to ``None`` (default), this value is
2025-07-24T04:20:29.3541810Z         automatically determined based on the existence of ``.sycl`` in
2025-07-24T04:20:29.3542120Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-07-24T04:20:29.3542340Z         libraries to be included.
2025-07-24T04:20:29.3542590Z     is_python_module: If ``True`` (default), imports the produced shared
2025-07-24T04:20:29.3542930Z         library as a Python module. If ``False``, behavior depends on
2025-07-24T04:20:29.3543160Z         ``is_standalone``.
2025-07-24T04:20:29.3543400Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-07-24T04:20:29.3543710Z         into the process as a plain dynamic library. If ``True``, build a
2025-07-24T04:20:29.3543960Z         standalone executable.
2025-07-24T04:20:29.3544070Z 
2025-07-24T04:20:29.3544120Z Returns:
2025-07-24T04:20:29.3544250Z     If ``is_python_module`` is ``True``:
2025-07-24T04:20:29.3544490Z         Returns the loaded PyTorch extension as a Python module.
2025-07-24T04:20:29.3544670Z 
2025-07-24T04:20:29.3544820Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-07-24T04:20:29.3545150Z         Returns nothing. (The shared library is loaded into the process as
2025-07-24T04:20:29.3545390Z         a side effect.)
2025-07-24T04:20:29.3545530Z 
2025-07-24T04:20:29.3545600Z     If ``is_standalone`` is ``True``.
2025-07-24T04:20:29.3545850Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-07-24T04:20:29.3546140Z         added to the PATH environment variable as a side effect.)
2025-07-24T04:20:29.3546320Z 
2025-07-24T04:20:29.3546360Z Example:
2025-07-24T04:20:29.3546490Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:29.3546670Z     >>> from torch.utils.cpp_extension import load
2025-07-24T04:20:29.3546870Z     >>> module = load(
2025-07-24T04:20:29.3547010Z     ...     name='extension',
2025-07-24T04:20:29.3547220Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:29.3547440Z     ...     extra_cflags=['-O2'],
2025-07-24T04:20:29.3547610Z     ...     verbose=True)
2025-07-24T04:20:29.3547700Z 
2025-07-24T04:20:29.3547860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.3548070Z 
2025-07-24T04:20:29.3548470Z msg = Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1890.
2025-07-24T04:20:29.3549080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.3549300Z 
2025-07-24T04:20:29.3549430Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-07-24T04:20:29.3549630Z 
2025-07-24T04:20:29.3549770Z This function behaves exactly like :func:`load`, but takes its sources as
2025-07-24T04:20:29.3550110Z strings rather than filenames. These strings are stored to files in the
2025-07-24T04:20:29.3550450Z build directory, after which the behavior of :func:`load_inline` is
2025-07-24T04:20:29.3550700Z identical to :func:`load`.
2025-07-24T04:20:29.3550810Z 
2025-07-24T04:20:29.3550850Z See `the
2025-07-24T04:20:29.3551120Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-07-24T04:20:29.3551460Z for good examples of using this function.
2025-07-24T04:20:29.3551600Z 
2025-07-24T04:20:29.3551740Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-07-24T04:20:29.3552090Z the necessary header includes, as well as the (pybind11) binding code. More
2025-07-24T04:20:29.3552460Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-07-24T04:20:29.3552820Z single ``.cpp`` file. This file is then prepended with ``#include
2025-07-24T04:20:29.3553060Z <torch/extension.h>``
2025-07-24T04:20:29.3553160Z 
2025-07-24T04:20:29.3553290Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-07-24T04:20:29.3553650Z automatically generated for each function specified. ``functions`` can
2025-07-24T04:20:29.3553990Z either be a list of function names, or a dictionary mapping from function
2025-07-24T04:20:29.3554330Z names to docstrings. If a list is given, the name of each function is used
2025-07-24T04:20:29.3554580Z as its docstring.
2025-07-24T04:20:29.3554670Z 
2025-07-24T04:20:29.3554800Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-07-24T04:20:29.3555150Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-07-24T04:20:29.3555450Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-07-24T04:20:29.3555780Z separately, but ultimately linked into a single library. Note that no
2025-07-24T04:20:29.3556110Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-07-24T04:20:29.3556450Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-07-24T04:20:29.3556780Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-07-24T04:20:29.3557030Z include its name in ``functions``).
2025-07-24T04:20:29.3557160Z 
2025-07-24T04:20:29.3557320Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-07-24T04:20:29.3557650Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-07-24T04:20:29.3558010Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-07-24T04:20:29.3558340Z linked into a single library. Note that no bindings are generated for
2025-07-24T04:20:29.3558660Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-07-24T04:20:29.3558990Z create a C++ function that calls it, and either declare or define this
2025-07-24T04:20:29.3559300Z C++ function in one of the ``cpp_sources`` (and include its name
2025-07-24T04:20:29.3559530Z in ``functions``).
2025-07-24T04:20:29.3559610Z 
2025-07-24T04:20:29.3559620Z 
2025-07-24T04:20:29.3559620Z 
2025-07-24T04:20:29.3559740Z See :func:`load` for a description of arguments omitted below.
2025-07-24T04:20:29.3559910Z 
2025-07-24T04:20:29.3559960Z Args:
2025-07-24T04:20:29.3560160Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-07-24T04:20:29.3560490Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-07-24T04:20:29.3560830Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-07-24T04:20:29.3561160Z     functions: A list of function names for which to generate function
2025-07-24T04:20:29.3561480Z         bindings. If a dictionary is given, it should map function names to
2025-07-24T04:20:29.3561800Z         docstrings (which are otherwise just the function names).
2025-07-24T04:20:29.3562110Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-07-24T04:20:29.3562410Z         the build. If set to ``None`` (default), this value is
2025-07-24T04:20:29.3562700Z         automatically determined based on whether ``cuda_sources`` is
2025-07-24T04:20:29.3562990Z         provided. Set it to ``True`` to force CUDA headers
2025-07-24T04:20:29.3563210Z         and libraries to be included.
2025-07-24T04:20:29.3563480Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-07-24T04:20:29.3563770Z         the build. If set to ``None`` (default), this value is
2025-07-24T04:20:29.3564060Z         automatically determined based on whether ``sycl_sources`` is
2025-07-24T04:20:29.3564350Z         provided. Set it to ``True`` to force SYCL headers
2025-07-24T04:20:29.3564570Z         and libraries to be included.
2025-07-24T04:20:29.3564820Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-07-24T04:20:29.3565130Z         warning macros are handled by pytorch instead of pybind. To do
2025-07-24T04:20:29.3565490Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-07-24T04:20:29.3565820Z         function. This redirection might cause issues in obscure cases
2025-07-24T04:20:29.3566130Z         of cpp. This flag should be set to ``False`` when this redirect
2025-07-24T04:20:29.3566360Z         causes issues.
2025-07-24T04:20:29.3566610Z     no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-07-24T04:20:29.3566970Z         ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-07-24T04:20:29.3567270Z         Use this option to improve cold start times when you
2025-07-24T04:20:29.3567630Z         already include the necessary headers in your source code. Default: ``False``.
2025-07-24T04:20:29.3567850Z 
2025-07-24T04:20:29.3567900Z Example:
2025-07-24T04:20:29.3568060Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:29.3568320Z     >>> from torch.utils.cpp_extension import load_inline
2025-07-24T04:20:29.3568530Z     >>> source = """
2025-07-24T04:20:29.3568710Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-07-24T04:20:29.3568920Z       return x.sin() + y.sin();
2025-07-24T04:20:29.3569080Z     }
2025-07-24T04:20:29.3569190Z     """
2025-07-24T04:20:29.3569340Z     >>> module = load_inline(name='inline_extension',
2025-07-24T04:20:29.3569680Z     ...                      cpp_sources=[source],
2025-07-24T04:20:29.3569900Z     ...                      functions=['sin_add'])
2025-07-24T04:20:29.3570040Z 
2025-07-24T04:20:29.3570090Z .. note::
2025-07-24T04:20:29.3570330Z     Since load_inline will just-in-time compile the source code, please ensure
2025-07-24T04:20:29.3570690Z     that you have the right toolchains installed in the runtime. For example,
2025-07-24T04:20:29.3571030Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-07-24T04:20:29.3571380Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-07-24T04:20:29.3571750Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-07-24T04:20:29.3572110Z     are not included when you install torch and must be additionally installed.
2025-07-24T04:20:29.3572320Z 
2025-07-24T04:20:29.3572480Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-07-24T04:20:29.3572830Z     the extension. This may use up too many resources on some systems. One
2025-07-24T04:20:29.3573170Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-07-24T04:20:29.3573440Z     variable to a non-negative number.
2025-07-24T04:20:29.3573570Z 
2025-07-24T04:20:29.3573720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.3573940Z 
2025-07-24T04:20:29.3574360Z msg = Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-07-24T04:20:29.3575000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.3575340Z Sampler that restricts data loading to a subset of the dataset.
2025-07-24T04:20:29.3575540Z 
2025-07-24T04:20:29.3575620Z     It is especially useful in conjunction with
2025-07-24T04:20:29.3575920Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-07-24T04:20:29.3576300Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-07-24T04:20:29.3576670Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-07-24T04:20:29.3576950Z     original dataset that is exclusive to it.
2025-07-24T04:20:29.3577100Z 
2025-07-24T04:20:29.3577150Z     .. note::
2025-07-24T04:20:29.3577380Z         Dataset is assumed to be of constant size and that any instance of it always
2025-07-24T04:20:29.3577680Z         returns the same elements in the same order.
2025-07-24T04:20:29.3577880Z 
2025-07-24T04:20:29.3577930Z     Args:
2025-07-24T04:20:29.3578060Z         dataset: Dataset used for sampling.
2025-07-24T04:20:29.3578330Z         num_replicas (int, optional): Number of processes participating in
2025-07-24T04:20:29.3578680Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-07-24T04:20:29.3578970Z             current distributed group.
2025-07-24T04:20:29.3579240Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-07-24T04:20:29.3579580Z             By default, :attr:`rank` is retrieved from the current distributed
2025-07-24T04:20:29.3579820Z             group.
2025-07-24T04:20:29.3580050Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-07-24T04:20:29.3580330Z             indices.
2025-07-24T04:20:29.3580540Z         seed (int, optional): random seed used to shuffle the sampler if
2025-07-24T04:20:29.3580850Z             :attr:`shuffle=True`. This number should be identical across all
2025-07-24T04:20:29.3581140Z             processes in the distributed group. Default: ``0``.
2025-07-24T04:20:29.3581440Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-07-24T04:20:29.3581760Z             tail of the data to make it evenly divisible across the number of
2025-07-24T04:20:29.3582070Z             replicas. If ``False``, the sampler will add extra indices to make
2025-07-24T04:20:29.3582410Z             the data evenly divisible across the replicas. Default: ``False``.
2025-07-24T04:20:29.3582610Z 
2025-07-24T04:20:29.3582660Z     .. warning::
2025-07-24T04:20:29.3582910Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-07-24T04:20:29.3583250Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-07-24T04:20:29.3583630Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-07-24T04:20:29.3583930Z         the same ordering will be always used.
2025-07-24T04:20:29.3584080Z 
2025-07-24T04:20:29.3584130Z     Example::
2025-07-24T04:20:29.3584210Z 
2025-07-24T04:20:29.3584260Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:29.3584510Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-07-24T04:20:29.3584820Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-07-24T04:20:29.3585060Z         ...                     sampler=sampler)
2025-07-24T04:20:29.3585280Z         >>> for epoch in range(start_epoch, n_epochs):
2025-07-24T04:20:29.3585490Z         ...     if is_distributed:
2025-07-24T04:20:29.3585670Z         ...         sampler.set_epoch(epoch)
2025-07-24T04:20:29.3585860Z         ...     train(loader)
2025-07-24T04:20:29.3586010Z     
2025-07-24T04:20:29.3586220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:29.3586440Z 
2025-07-24T04:20:29.9913840Z msg = Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-07-24T04:20:29.9914540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:29.9914870Z Asserts that ``actual`` and ``expected`` are close.
2025-07-24T04:20:29.9915040Z 
2025-07-24T04:20:29.9915280Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-07-24T04:20:29.9915580Z 
2025-07-24T04:20:29.9915650Z     .. math::
2025-07-24T04:20:29.9915750Z 
2025-07-24T04:20:29.9916000Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-07-24T04:20:29.9916310Z 
2025-07-24T04:20:29.9916530Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-07-24T04:20:29.9916950Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-07-24T04:20:29.9917350Z 
2025-07-24T04:20:29.9917480Z     In addition, they are only considered close if they have the same
2025-07-24T04:20:29.9917680Z 
2025-07-24T04:20:29.9917810Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-07-24T04:20:29.9918090Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-07-24T04:20:29.9918330Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-07-24T04:20:29.9918570Z     - stride (if ``check_stride`` is ``True``).
2025-07-24T04:20:29.9918720Z 
2025-07-24T04:20:29.9918910Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-07-24T04:20:29.9919170Z 
2025-07-24T04:20:29.9919400Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-07-24T04:20:29.9919980Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-07-24T04:20:29.9920420Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-07-24T04:20:29.9920880Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-07-24T04:20:29.9921190Z 
2025-07-24T04:20:29.9921370Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-07-24T04:20:29.9921900Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-07-24T04:20:29.9922260Z     definition above.
2025-07-24T04:20:29.9922360Z 
2025-07-24T04:20:29.9922640Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-07-24T04:20:29.9923150Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-07-24T04:20:29.9923680Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-07-24T04:20:29.9924210Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-07-24T04:20:29.9924650Z     their elements are considered close according to the above definition.
2025-07-24T04:20:29.9924870Z 
2025-07-24T04:20:29.9924920Z     .. note::
2025-07-24T04:20:29.9925000Z 
2025-07-24T04:20:29.9925210Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-07-24T04:20:29.9925700Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-07-24T04:20:29.9926150Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-07-24T04:20:29.9926390Z 
2025-07-24T04:20:29.9926440Z     Args:
2025-07-24T04:20:29.9926570Z         actual (Any): Actual input.
2025-07-24T04:20:29.9926770Z         expected (Any): Expected input.
2025-07-24T04:20:29.9927140Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-07-24T04:20:29.9927530Z             are allowed. Otherwise type equality is required.
2025-07-24T04:20:29.9927930Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-07-24T04:20:29.9928390Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-07-24T04:20:29.9928840Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-07-24T04:20:29.9929290Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-07-24T04:20:29.9929670Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-07-24T04:20:29.9930070Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-07-24T04:20:29.9930470Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-07-24T04:20:29.9930880Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-07-24T04:20:29.9931300Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-07-24T04:20:29.9931790Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-07-24T04:20:29.9932160Z             :func:`torch.promote_types`) before being compared.
2025-07-24T04:20:29.9932540Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-07-24T04:20:29.9933020Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-07-24T04:20:29.9933380Z             compared.
2025-07-24T04:20:29.9938400Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-07-24T04:20:29.9938930Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-07-24T04:20:29.9939420Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-07-24T04:20:29.9939770Z             should return the new message.
2025-07-24T04:20:29.9939910Z 
2025-07-24T04:20:29.9939950Z     Raises:
2025-07-24T04:20:29.9940230Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-07-24T04:20:29.9940540Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-07-24T04:20:29.9940960Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-07-24T04:20:29.9941450Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-07-24T04:20:29.9941790Z             different types.
2025-07-24T04:20:29.9942130Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-07-24T04:20:29.9942630Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-07-24T04:20:29.9943110Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-07-24T04:20:29.9943550Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-07-24T04:20:29.9943870Z             :attr:`~torch.Tensor.layout`.
2025-07-24T04:20:29.9944140Z         AssertionError: If only one of corresponding tensors is quantized.
2025-07-24T04:20:29.9944580Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-07-24T04:20:29.9945050Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-07-24T04:20:29.9945370Z             :attr:`~torch.Tensor.device`.
2025-07-24T04:20:29.9945700Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-07-24T04:20:29.9946180Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-07-24T04:20:29.9946680Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-07-24T04:20:29.9946960Z 
2025-07-24T04:20:29.9947180Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-07-24T04:20:29.9947550Z     ``dtype``'s, the maximum of both tolerances is used.
2025-07-24T04:20:29.9947720Z 
2025-07-24T04:20:29.9947800Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9948030Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-07-24T04:20:29.9948250Z     +===========================+============+==========+
2025-07-24T04:20:29.9948510Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-07-24T04:20:29.9948740Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9948970Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-07-24T04:20:29.9949200Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9949420Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9949640Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9949870Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-07-24T04:20:29.9950100Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9950330Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-07-24T04:20:29.9950590Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9950810Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9951040Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9951270Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-07-24T04:20:29.9951500Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9951740Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9951960Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9952190Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9952450Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9952680Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9952930Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9953160Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9953390Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9953610Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:29.9953830Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9954060Z     | other                     | ``0.0``    | ``0.0``  |
2025-07-24T04:20:29.9954270Z     +---------------------------+------------+----------+
2025-07-24T04:20:29.9954410Z 
2025-07-24T04:20:29.9954460Z     .. note::
2025-07-24T04:20:29.9954540Z 
2025-07-24T04:20:29.9954770Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-07-24T04:20:29.9955280Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-07-24T04:20:29.9955720Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-07-24T04:20:29.9955950Z 
2025-07-24T04:20:29.9956010Z         >>> import functools
2025-07-24T04:20:29.9956280Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-07-24T04:20:29.9956560Z         >>> assert_equal(1e-9, 1e-10)
2025-07-24T04:20:29.9956760Z         Traceback (most recent call last):
2025-07-24T04:20:29.9956940Z         ...
2025-07-24T04:20:29.9957090Z         AssertionError: Scalars are not equal!
2025-07-24T04:20:29.9957270Z         <BLANKLINE>
2025-07-24T04:20:29.9957420Z         Expected 1e-10 but got 1e-09.
2025-07-24T04:20:29.9957630Z         Absolute difference: 9.000000000000001e-10
2025-07-24T04:20:29.9957830Z         Relative difference: 9.0
2025-07-24T04:20:29.9957940Z 
2025-07-24T04:20:29.9958000Z     Examples:
2025-07-24T04:20:29.9958140Z         >>> # tensor to tensor comparison
2025-07-24T04:20:29.9958360Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-07-24T04:20:29.9958590Z         >>> actual = torch.acos(torch.cos(expected))
2025-07-24T04:20:29.9958830Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9958990Z 
2025-07-24T04:20:29.9959060Z         >>> # scalar to scalar comparison
2025-07-24T04:20:29.9959240Z         >>> import math
2025-07-24T04:20:29.9959390Z         >>> expected = math.sqrt(2.0)
2025-07-24T04:20:29.9959630Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-07-24T04:20:29.9959850Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9960000Z 
2025-07-24T04:20:29.9960080Z         >>> # numpy array to numpy array comparison
2025-07-24T04:20:29.9960280Z         >>> import numpy as np
2025-07-24T04:20:29.9960470Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-07-24T04:20:29.9960690Z         >>> actual = np.arccos(np.cos(expected))
2025-07-24T04:20:29.9960920Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9961070Z 
2025-07-24T04:20:29.9961150Z         >>> # sequence to sequence comparison
2025-07-24T04:20:29.9961340Z         >>> import numpy as np
2025-07-24T04:20:29.9961640Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-07-24T04:20:29.9961940Z         >>> # length and their elements have to match.
2025-07-24T04:20:29.9962180Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-07-24T04:20:29.9962410Z         >>> actual = tuple(expected)
2025-07-24T04:20:29.9962630Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9962780Z 
2025-07-24T04:20:29.9962850Z         >>> # mapping to mapping comparison
2025-07-24T04:20:29.9963070Z         >>> from collections import OrderedDict
2025-07-24T04:20:29.9963260Z         >>> import numpy as np
2025-07-24T04:20:29.9963460Z         >>> foo = torch.tensor(1.0)
2025-07-24T04:20:29.9963630Z         >>> bar = 2.0
2025-07-24T04:20:29.9963780Z         >>> baz = np.array(3.0)
2025-07-24T04:20:29.9964090Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-07-24T04:20:29.9964450Z         >>> # have to have the same set of keys and their elements have to match.
2025-07-24T04:20:29.9964780Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-07-24T04:20:29.9965060Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-07-24T04:20:29.9965310Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9965460Z 
2025-07-24T04:20:29.9965540Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-07-24T04:20:29.9965750Z         >>> actual = expected.clone()
2025-07-24T04:20:29.9965980Z         >>> # By default, directly related instances can be compared
2025-07-24T04:20:29.9966290Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-07-24T04:20:29.9966610Z         >>> # This check can be made more strict with allow_subclasses=False
2025-07-24T04:20:29.9966870Z         >>> torch.testing.assert_close(
2025-07-24T04:20:29.9967130Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-07-24T04:20:29.9967360Z         ... )
2025-07-24T04:20:29.9967500Z         Traceback (most recent call last):
2025-07-24T04:20:29.9967700Z         ...
2025-07-24T04:20:29.9967890Z         TypeError: No comparison pair was able to handle inputs of type
2025-07-24T04:20:29.9968230Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-07-24T04:20:29.9968560Z         >>> # If the inputs are not directly related, they are never considered close
2025-07-24T04:20:29.9968880Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-07-24T04:20:29.9969120Z         Traceback (most recent call last):
2025-07-24T04:20:29.9969300Z         ...
2025-07-24T04:20:29.9969550Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-07-24T04:20:29.9969850Z         and <class 'torch.Tensor'>.
2025-07-24T04:20:29.9970140Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-07-24T04:20:29.9970440Z         >>> # their type if check_dtype=False.
2025-07-24T04:20:29.9970690Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-07-24T04:20:29.9970860Z 
2025-07-24T04:20:29.9970920Z         >>> # NaN != NaN by default.
2025-07-24T04:20:29.9971120Z         >>> expected = torch.tensor(float("Nan"))
2025-07-24T04:20:29.9971370Z         >>> actual = expected.clone()
2025-07-24T04:20:29.9971590Z         >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:29.9971810Z         Traceback (most recent call last):
2025-07-24T04:20:29.9971990Z         ...
2025-07-24T04:20:29.9972130Z         AssertionError: Scalars are not close!
2025-07-24T04:20:29.9972310Z         <BLANKLINE>
2025-07-24T04:20:29.9972460Z         Expected nan but got nan.
2025-07-24T04:20:29.9972660Z         Absolute difference: nan (up to 1e-05 allowed)
2025-07-24T04:20:29.9972910Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-07-24T04:20:29.9973190Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-07-24T04:20:29.9973410Z 
2025-07-24T04:20:29.9973480Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-07-24T04:20:29.9973700Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-07-24T04:20:29.9973930Z         >>> # The default error message can be overwritten.
2025-07-24T04:20:29.9974260Z         >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-07-24T04:20:29.9974570Z         Traceback (most recent call last):
2025-07-24T04:20:29.9974760Z         ...
2025-07-24T04:20:29.9974930Z         AssertionError: Argh, the tensors are not close!
2025-07-24T04:20:29.9975220Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-07-24T04:20:29.9975510Z         >>> # extra information
2025-07-24T04:20:29.9975690Z         >>> torch.testing.assert_close(
2025-07-24T04:20:29.9975980Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-07-24T04:20:29.9976220Z         ... )
2025-07-24T04:20:29.9976360Z         Traceback (most recent call last):
2025-07-24T04:20:29.9976540Z         ...
2025-07-24T04:20:29.9976670Z         AssertionError: Header
2025-07-24T04:20:29.9976830Z         <BLANKLINE>
2025-07-24T04:20:29.9976980Z         Tensor-likes are not close!
2025-07-24T04:20:29.9977150Z         <BLANKLINE>
2025-07-24T04:20:29.9977300Z         Mismatched elements: 2 / 3 (66.7%)
2025-07-24T04:20:29.9977580Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-07-24T04:20:29.9977920Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-07-24T04:20:29.9978170Z         <BLANKLINE>
2025-07-24T04:20:29.9978300Z         Footer
2025-07-24T04:20:29.9978420Z     
2025-07-24T04:20:29.9978650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.5409320Z 
2025-07-24T04:20:30.5409870Z msg = Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/triton.py line=21.
2025-07-24T04:20:30.5410500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.5410920Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-07-24T04:20:30.5411160Z 
2025-07-24T04:20:30.5411290Z     This is a more structured way of using triton kernels with PyTorch.
2025-07-24T04:20:30.5411660Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-07-24T04:20:30.5412050Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-07-24T04:20:30.5412340Z     that is simpler;
2025-07-24T04:20:30.5412610Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-07-24T04:20:30.5412980Z     want to create an operator that behaves like PyTorch built-in operators.
2025-07-24T04:20:30.5413340Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-07-24T04:20:30.5413680Z     behavior of the triton kernel when passed a tensor subclass or under
2025-07-24T04:20:30.5413940Z     a TorchDispatchMode.
2025-07-24T04:20:30.5414050Z 
2025-07-24T04:20:30.5414220Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-07-24T04:20:30.5414730Z     when the implementation
2025-07-24T04:20:30.5415010Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-07-24T04:20:30.5415310Z     custom operators as opaque (:func:`torch.compile` and
2025-07-24T04:20:30.5415630Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-07-24T04:20:30.5415980Z     makes the implementation visible to these subsystems, allowing them
2025-07-24T04:20:30.5416250Z     to optimize the triton kernel(s).
2025-07-24T04:20:30.5416380Z 
2025-07-24T04:20:30.5416500Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-07-24T04:20:30.5416820Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-07-24T04:20:30.5417230Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-07-24T04:20:30.5417420Z 
2025-07-24T04:20:30.5417460Z     Args:
2025-07-24T04:20:30.5417680Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-07-24T04:20:30.5418030Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-07-24T04:20:30.5418340Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-07-24T04:20:30.5418650Z             To avoid name collisions, please use your project name as the namespace;
2025-07-24T04:20:30.5419000Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-07-24T04:20:30.5419420Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-07-24T04:20:30.5419880Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-07-24T04:20:30.5420270Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-07-24T04:20:30.5420620Z         schema (None | str): A schema string for the operator. If None
2025-07-24T04:20:30.5420930Z             (recommended) we'll infer a schema for the operator from its type
2025-07-24T04:20:30.5421260Z             annotations. We recommend letting us infer a schema unless you
2025-07-24T04:20:30.5421520Z             have a specific reason not to.
2025-07-24T04:20:30.5421750Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-07-24T04:20:30.5421910Z 
2025-07-24T04:20:30.5421960Z     Example::
2025-07-24T04:20:30.5422040Z 
2025-07-24T04:20:30.5422130Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:30.5422330Z         >>> import torch
2025-07-24T04:20:30.5422540Z         >>> from torch.library import triton_op, wrap_triton
2025-07-24T04:20:30.5422740Z         >>>
2025-07-24T04:20:30.5422860Z         >>> import triton
2025-07-24T04:20:30.5423030Z         >>> from triton import language as tl
2025-07-24T04:20:30.5423220Z         >>>
2025-07-24T04:20:30.5423340Z         >>> @triton.jit
2025-07-24T04:20:30.5423480Z         >>> def add_kernel(
2025-07-24T04:20:30.5423630Z         >>>     in_ptr0,
2025-07-24T04:20:30.5423780Z         >>>     in_ptr1,
2025-07-24T04:20:30.5423930Z         >>>     out_ptr,
2025-07-24T04:20:30.5424070Z         >>>     n_elements,
2025-07-24T04:20:30.5424240Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-07-24T04:20:30.5424420Z         >>> ):
2025-07-24T04:20:30.5424560Z         >>>     pid = tl.program_id(axis=0)
2025-07-24T04:20:30.5424760Z         >>>     block_start = pid * BLOCK_SIZE
2025-07-24T04:20:30.5424990Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-07-24T04:20:30.5425210Z         >>>     mask = offsets < n_elements
2025-07-24T04:20:30.5425420Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-07-24T04:20:30.5425650Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-07-24T04:20:30.5425850Z         >>>     output = x + y
2025-07-24T04:20:30.5426050Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-07-24T04:20:30.5426260Z         >>>
2025-07-24T04:20:30.5426410Z         >>> @triton_op("mylib::add", mutates_args={})
2025-07-24T04:20:30.5426670Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-07-24T04:20:30.5426960Z         >>>     output = torch.empty_like(x)
2025-07-24T04:20:30.5427160Z         >>>     n_elements = output.numel()
2025-07-24T04:20:30.5427330Z         >>>
2025-07-24T04:20:30.5427450Z         >>>     def grid(meta):
2025-07-24T04:20:30.5427670Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-07-24T04:20:30.5427890Z         >>>
2025-07-24T04:20:30.5428070Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-07-24T04:20:30.5428370Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-07-24T04:20:30.5428610Z         >>>     return output
2025-07-24T04:20:30.5428790Z         >>>
2025-07-24T04:20:30.5428910Z         >>> @torch.compile
2025-07-24T04:20:30.5429070Z         >>> def f(x, y):
2025-07-24T04:20:30.5429220Z         >>>     return add(x, y)
2025-07-24T04:20:30.5429370Z         >>>
2025-07-24T04:20:30.5429510Z         >>> x = torch.randn(3, device="cuda")
2025-07-24T04:20:30.5429710Z         >>> y = torch.randn(3, device="cuda")
2025-07-24T04:20:30.5429890Z         >>>
2025-07-24T04:20:30.5430010Z         >>> z = f(x, y)
2025-07-24T04:20:30.5430170Z         >>> assert torch.allclose(z, x + y)
2025-07-24T04:20:30.5430300Z 
2025-07-24T04:20:30.5430350Z     
2025-07-24T04:20:30.5430560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.5430820Z 
2025-07-24T04:20:30.5431230Z msg = Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/triton.py line=202.
2025-07-24T04:20:30.5431830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.5432170Z Allows capture of a triton kernel into a graph via make_fx or
2025-07-24T04:20:30.5432410Z     non-strict ``torch.export``.
2025-07-24T04:20:30.5432540Z 
2025-07-24T04:20:30.5432650Z     These technologies perform Dispatcher-based tracing (via
2025-07-24T04:20:30.5432950Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-07-24T04:20:30.5433270Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-07-24T04:20:30.5433520Z     can actually be traced into a graph.
2025-07-24T04:20:30.5433650Z 
2025-07-24T04:20:30.5433790Z     Please use this API together with :func:`torch.library.triton_op`.
2025-07-24T04:20:30.5433980Z 
2025-07-24T04:20:30.5434030Z     Examples:
2025-07-24T04:20:30.5434110Z 
2025-07-24T04:20:30.5434170Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:30.5434330Z         >>> import torch
2025-07-24T04:20:30.5434470Z         >>> import triton
2025-07-24T04:20:30.5439420Z         >>> from triton import language as tl
2025-07-24T04:20:30.5439700Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-07-24T04:20:30.5439950Z         >>> from torch.library import wrap_triton
2025-07-24T04:20:30.5440140Z         >>>
2025-07-24T04:20:30.5440260Z         >>> @triton.jit
2025-07-24T04:20:30.5440400Z         >>> def add_kernel(
2025-07-24T04:20:30.5440550Z         >>>     in_ptr0,
2025-07-24T04:20:30.5440700Z         >>>     in_ptr1,
2025-07-24T04:20:30.5440840Z         >>>     out_ptr,
2025-07-24T04:20:30.5440990Z         >>>     n_elements,
2025-07-24T04:20:30.5441150Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-07-24T04:20:30.5441330Z         >>> ):
2025-07-24T04:20:30.5441470Z         >>>     pid = tl.program_id(axis=0)
2025-07-24T04:20:30.5441670Z         >>>     block_start = pid * BLOCK_SIZE
2025-07-24T04:20:30.5441910Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-07-24T04:20:30.5442130Z         >>>     mask = offsets < n_elements
2025-07-24T04:20:30.5442350Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-07-24T04:20:30.5442580Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-07-24T04:20:30.5442770Z         >>>     output = x + y
2025-07-24T04:20:30.5442980Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-07-24T04:20:30.5443260Z         >>>
2025-07-24T04:20:30.5443380Z         >>> def add(x, y):
2025-07-24T04:20:30.5443560Z         >>>     output = torch.empty_like(x)
2025-07-24T04:20:30.5443770Z         >>>     n_elements = output.numel()
2025-07-24T04:20:30.5443940Z         >>>
2025-07-24T04:20:30.5444070Z         >>>     def grid_fn(meta):
2025-07-24T04:20:30.5444290Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-07-24T04:20:30.5444510Z         >>>
2025-07-24T04:20:30.5444700Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-07-24T04:20:30.5444950Z         >>>     return output
2025-07-24T04:20:30.5445100Z         >>>
2025-07-24T04:20:30.5445260Z         >>> x = torch.randn(3, device="cuda")
2025-07-24T04:20:30.5445470Z         >>> y = torch.randn(3, device="cuda")
2025-07-24T04:20:30.5445660Z         >>> gm = make_fx(add)(x, y)
2025-07-24T04:20:30.5445840Z         >>> print(gm.code)
2025-07-24T04:20:30.5446010Z         >>> # def forward(self, x_1, y_1):
2025-07-24T04:20:30.5446290Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-07-24T04:20:30.5446660Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-07-24T04:20:30.5446950Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-07-24T04:20:30.5447170Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-07-24T04:20:30.5447420Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-07-24T04:20:30.5447680Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-07-24T04:20:30.5447920Z         >>> #         })
2025-07-24T04:20:30.5448090Z         >>> #     return empty_like
2025-07-24T04:20:30.5448210Z 
2025-07-24T04:20:30.5448260Z     
2025-07-24T04:20:30.5448470Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.5448690Z 
2025-07-24T04:20:30.5449120Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-07-24T04:20:30.5449760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.5449980Z 
2025-07-24T04:20:30.5450130Z Registers a fake kernel based on the given operator profiles. This fake
2025-07-24T04:20:30.5450490Z kernel registration will override any existing fake kernel registrations.
2025-07-24T04:20:30.5450700Z 
2025-07-24T04:20:30.5450830Z The input is a dictionary mapping operator names to a set of operator
2025-07-24T04:20:30.5451170Z profiles, which we will use to generate fake kernels. The operator profiles
2025-07-24T04:20:30.5451510Z are a record of the input and output tensor metadata. Based on this
2025-07-24T04:20:30.5451840Z information we will match a given input to the recorded profile, and return
2025-07-24T04:20:30.5452190Z an output with the same metadata as in the recorded profile. If a profile
2025-07-24T04:20:30.5452480Z doesn't exist then an exception will be thrown.
2025-07-24T04:20:30.5452630Z 
2025-07-24T04:20:30.5452770Z The fake kernel generation is considered unsafe because it relies on the
2025-07-24T04:20:30.5453120Z rigid, pre-defined operator profiles that do not account for potential
2025-07-24T04:20:30.5453470Z variations in output behavior. Specifically, the generated kernels assume a
2025-07-24T04:20:30.5453840Z fixed relationship between input and output ranks. However, in reality, it's
2025-07-24T04:20:30.5454210Z possible that data-dependent operations may produce outputs of different
2025-07-24T04:20:30.5454560Z ranks even when given inputs of the same rank. The generated fake kernels
2025-07-24T04:20:30.5454900Z are inflexible and unable to accommodate these nuances, making them
2025-07-24T04:20:30.5455150Z potentially unsafe.
2025-07-24T04:20:30.5455240Z 
2025-07-24T04:20:30.5455280Z Args:
2025-07-24T04:20:30.5455480Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-07-24T04:20:30.5455850Z         name to a set of operator profiles from which we will generate fake
2025-07-24T04:20:30.5456080Z         kernels.
2025-07-24T04:20:30.5456170Z 
2025-07-24T04:20:30.5456220Z Examples:
2025-07-24T04:20:30.5456290Z 
2025-07-24T04:20:30.5456400Z     >>> # Example: Registering an op-profile from draft-export
2025-07-24T04:20:30.5456620Z     >>> import torch
2025-07-24T04:20:30.5456810Z     >>> from torch.export._draft_export import draft_export
2025-07-24T04:20:30.5457020Z     >>>
2025-07-24T04:20:30.5457200Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-07-24T04:20:30.5457450Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-07-24T04:20:30.5457670Z     >>>     return x + y
2025-07-24T04:20:30.5457810Z     >>>
2025-07-24T04:20:30.5457940Z     >>> class M(torch.nn.Module):
2025-07-24T04:20:30.5458120Z     >>>     def forward(self, a, b):
2025-07-24T04:20:30.5458340Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-07-24T04:20:30.5458550Z     >>>         return res
2025-07-24T04:20:30.5458700Z     >>>
2025-07-24T04:20:30.5458870Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-07-24T04:20:30.5459080Z     >>>
2025-07-24T04:20:30.5459330Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-07-24T04:20:30.5459660Z     >>>     decomp = ep.run_decompositions()
2025-07-24T04:20:30.5459820Z 
2025-07-24T04:20:30.5459820Z 
2025-07-24T04:20:30.5459980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6116450Z 
2025-07-24T04:20:30.6117390Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py line=396.
2025-07-24T04:20:30.6118090Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:30.6118430Z Register a FakeTensor implementation for this custom op.
2025-07-24T04:20:30.6118610Z 
2025-07-24T04:20:30.6118780Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-07-24T04:20:30.6119010Z 
2025-07-24T04:20:30.6119160Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-07-24T04:20:30.6119550Z         specifies the behavior of this operator on Tensors that carry no data.
2025-07-24T04:20:30.6119870Z         Given some input Tensors with certain properties
2025-07-24T04:20:30.6120190Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-07-24T04:20:30.6120470Z         the output Tensors are.
2025-07-24T04:20:30.6120590Z 
2025-07-24T04:20:30.6120720Z         Please see :func:`torch.library.impl_abstract` for more details.
2025-07-24T04:20:30.6120920Z 
2025-07-24T04:20:30.6120960Z         Args:
2025-07-24T04:20:30.6121150Z             fn (Callable): The function to register as the FakeTensor
2025-07-24T04:20:30.6121390Z                 implementation.
2025-07-24T04:20:30.6121500Z 
2025-07-24T04:20:30.6121550Z         Examples:
2025-07-24T04:20:30.6121690Z             >>> import torch
2025-07-24T04:20:30.6121860Z             >>> import numpy as np
2025-07-24T04:20:30.6122040Z             >>> from torch import Tensor
2025-07-24T04:20:30.6122220Z             >>>
2025-07-24T04:20:30.6122420Z             >>> # Example 1: an operator without data-dependent output shape
2025-07-24T04:20:30.6122730Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-07-24T04:20:30.6123040Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-07-24T04:20:30.6123300Z             >>>     return (x @ weight.t()) + bias
2025-07-24T04:20:30.6123480Z             >>>
2025-07-24T04:20:30.6123630Z             >>> @linear.register_fake
2025-07-24T04:20:30.6123810Z             >>> def _(x, weight, bias):
2025-07-24T04:20:30.6123990Z             >>>     assert x.dim() == 2
2025-07-24T04:20:30.6124190Z             >>>     assert weight.dim() == 2
2025-07-24T04:20:30.6124480Z             >>>     assert bias.dim() == 1
2025-07-24T04:20:30.6124690Z             >>>     assert x.shape[1] == weight.shape[1]
2025-07-24T04:20:30.6124920Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-07-24T04:20:30.6125150Z             >>>     assert x.device == weight.device
2025-07-24T04:20:30.6125390Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-07-24T04:20:30.6125590Z             >>>
2025-07-24T04:20:30.6125730Z             >>> x = torch.randn(2, 2)
2025-07-24T04:20:30.6125920Z             >>> weight = torch.randn(2, 2)
2025-07-24T04:20:30.6126110Z             >>> bias = torch.randn(2)
2025-07-24T04:20:30.6126390Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:30.6126660Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-07-24T04:20:30.6126930Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:30.6127230Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-07-24T04:20:30.6127510Z             >>>
2025-07-24T04:20:30.6127700Z             >>> # Example 2: an operator with data-dependent output shape
2025-07-24T04:20:30.6128000Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-07-24T04:20:30.6128260Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-07-24T04:20:30.6128510Z             >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:30.6128730Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-07-24T04:20:30.6129010Z             >>>     return torch.tensor(res, device=x.device)
2025-07-24T04:20:30.6129220Z             >>>
2025-07-24T04:20:30.6129360Z             >>> @nonzero.register_fake
2025-07-24T04:20:30.6129530Z             >>> def _(x):
2025-07-24T04:20:30.6129730Z             >>> # Number of nonzero-elements is data-dependent.
2025-07-24T04:20:30.6130000Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-07-24T04:20:30.6130280Z             >>> # we use the ctx object to construct a new symint that
2025-07-24T04:20:30.6130520Z             >>> # represents the data-dependent size.
2025-07-24T04:20:30.6130740Z             >>>     ctx = torch.library.get_ctx()
2025-07-24T04:20:30.6130960Z             >>>     nnz = ctx.new_dynamic_size()
2025-07-24T04:20:30.6131150Z             >>>     shape = [nnz, x.dim()]
2025-07-24T04:20:30.6131380Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-07-24T04:20:30.6131590Z             >>>     return result
2025-07-24T04:20:30.6131750Z             >>>
2025-07-24T04:20:30.6131900Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-07-24T04:20:30.6132130Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:30.6132370Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-07-24T04:20:30.6132620Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:30.6132850Z             >>> assert torch.allclose(out, x.nonzero())
2025-07-24T04:20:30.6133000Z 
2025-07-24T04:20:30.6133050Z         
2025-07-24T04:20:30.6133430Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-07-24T04:20:30.6133800Z 
2025-07-24T04:20:30.6133840Z _._ = None
2025-07-24T04:20:30.6133960Z ^
2025-07-24T04:20:30.6134420Z msg = Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-07-24T04:20:30.6135030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6135390Z Applies a 1D convolution over a quantized input signal composed of
2025-07-24T04:20:30.6135650Z     several quantized input planes.
2025-07-24T04:20:30.6135790Z 
2025-07-24T04:20:30.6135920Z     For details on input arguments, parameters, and implementation see
2025-07-24T04:20:30.6136210Z     :class:`~torch.nn.Conv1d`.
2025-07-24T04:20:30.6136330Z 
2025-07-24T04:20:30.6136370Z     .. note::
2025-07-24T04:20:30.6136570Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-07-24T04:20:30.6136760Z 
2025-07-24T04:20:30.6136810Z     .. note::
2025-07-24T04:20:30.6137000Z         Only `torch.quint8` is supported for the input data type.
2025-07-24T04:20:30.6137170Z 
2025-07-24T04:20:30.6137170Z 
2025-07-24T04:20:30.6137230Z     Attributes:
2025-07-24T04:20:30.6137440Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-07-24T04:20:30.6137690Z                              parameter.
2025-07-24T04:20:30.6137910Z         scale (Tensor):      scalar for the output scale
2025-07-24T04:20:30.6138200Z         zero_point (Tensor): scalar for the output zero point
2025-07-24T04:20:30.6138360Z 
2025-07-24T04:20:30.6138460Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-07-24T04:20:30.6138620Z 
2025-07-24T04:20:30.6138670Z     Examples::
2025-07-24T04:20:30.6138760Z 
2025-07-24T04:20:30.6138850Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-07-24T04:20:30.6139090Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-07-24T04:20:30.6139310Z         >>> input = torch.randn(20, 16, 100)
2025-07-24T04:20:30.6139500Z         >>> # quantize input to quint8
2025-07-24T04:20:30.6139690Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:30.6139970Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-07-24T04:20:30.6140250Z         ...                                     dtype=torch.quint8)
2025-07-24T04:20:30.6140500Z         >>> output = m(q_input)
2025-07-24T04:20:30.6140610Z 
2025-07-24T04:20:30.6140660Z     
2025-07-24T04:20:30.6140880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6141100Z 
2025-07-24T04:20:30.6141480Z msg = Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-07-24T04:20:30.6142080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6142380Z A quantized long short-term memory (LSTM).
2025-07-24T04:20:30.6142520Z 
2025-07-24T04:20:30.6142690Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-07-24T04:20:30.6142930Z 
2025-07-24T04:20:30.6142980Z     Attributes:
2025-07-24T04:20:30.6143130Z         layers : instances of the `_LSTMLayer`
2025-07-24T04:20:30.6143270Z 
2025-07-24T04:20:30.6143320Z     .. note::
2025-07-24T04:20:30.6143530Z         To access the weights and biases, you need to access them per layer.
2025-07-24T04:20:30.6143840Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-07-24T04:20:30.6144010Z 
2025-07-24T04:20:30.6144070Z     Examples::
2025-07-24T04:20:30.6144190Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:30.6144360Z         >>> custom_module_config = {
2025-07-24T04:20:30.6144570Z         ...     'float_to_observed_custom_module_class': {
2025-07-24T04:20:30.6144800Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-07-24T04:20:30.6144990Z         ...     },
2025-07-24T04:20:30.6145170Z         ...     'observed_to_quantized_custom_module_class': {
2025-07-24T04:20:30.6145410Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-07-24T04:20:30.6145610Z         ...     }
2025-07-24T04:20:30.6145740Z         ... }
2025-07-24T04:20:30.6145950Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-07-24T04:20:30.6146290Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-07-24T04:20:30.6146530Z     
2025-07-24T04:20:30.6146750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6146970Z 
2025-07-24T04:20:30.6147420Z msg = Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-07-24T04:20:30.6148150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6148380Z 
2025-07-24T04:20:30.6148530Z Config object that specifies the supported data types passed as arguments to
2025-07-24T04:20:30.6148890Z quantize ops in the reference model spec, for input and output activations,
2025-07-24T04:20:30.6149150Z weights, and biases.
2025-07-24T04:20:30.6149250Z 
2025-07-24T04:20:30.6149340Z For example, consider the following reference model:
2025-07-24T04:20:30.6149500Z 
2025-07-24T04:20:30.6149610Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-07-24T04:20:30.6149770Z 
2025-07-24T04:20:30.6149930Z The pattern in the square brackets refers to the reference pattern of
2025-07-24T04:20:30.6150270Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-07-24T04:20:30.6150610Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-07-24T04:20:30.6150950Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-07-24T04:20:30.6151290Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-07-24T04:20:30.6151560Z the second quantize op (quant2).
2025-07-24T04:20:30.6151680Z 
2025-07-24T04:20:30.6151820Z Note that the dtype here does not refer to the interface dtypes of the
2025-07-24T04:20:30.6152170Z op. For example, the "input dtype" here is not the dtype of the input
2025-07-24T04:20:30.6152490Z tensor passed to the quantized linear op. Though it can still be the
2025-07-24T04:20:30.6152860Z same as the interface dtype, this is not always the case, e.g. the
2025-07-24T04:20:30.6153180Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-07-24T04:20:30.6153520Z specified in the DTypeConfig would still be quint8. The semantics of
2025-07-24T04:20:30.6153840Z dtypes here are the same as the semantics of the dtypes specified in
2025-07-24T04:20:30.6154080Z the observers.
2025-07-24T04:20:30.6154160Z 
2025-07-24T04:20:30.6154290Z These dtypes are matched against the ones specified in the user's
2025-07-24T04:20:30.6154610Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-07-24T04:20:30.6154950Z specified in the DTypeConfig (if any), then we will quantize the given
2025-07-24T04:20:30.6155280Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-07-24T04:20:30.6155540Z the pattern will not be quantized.
2025-07-24T04:20:30.6155670Z 
2025-07-24T04:20:30.6155720Z Example usage::
2025-07-24T04:20:30.6155800Z 
2025-07-24T04:20:30.6155860Z     >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:30.6156050Z     >>> dtype_config1 = DTypeConfig(
2025-07-24T04:20:30.6156240Z     ...     input_dtype=torch.quint8,
2025-07-24T04:20:30.6156430Z     ...     output_dtype=torch.quint8,
2025-07-24T04:20:30.6156630Z     ...     weight_dtype=torch.qint8,
2025-07-24T04:20:30.6156810Z     ...     bias_dtype=torch.float)
2025-07-24T04:20:30.6156930Z 
2025-07-24T04:20:30.6157000Z     >>> dtype_config2 = DTypeConfig(
2025-07-24T04:20:30.6157200Z     ...     input_dtype=DTypeWithConstraints(
2025-07-24T04:20:30.6157400Z     ...         dtype=torch.quint8,
2025-07-24T04:20:30.6157580Z     ...         quant_min_lower_bound=0,
2025-07-24T04:20:30.6157770Z     ...         quant_max_upper_bound=255,
2025-07-24T04:20:30.6157950Z     ...     ),
2025-07-24T04:20:30.6158100Z     ...     output_dtype=DTypeWithConstraints(
2025-07-24T04:20:30.6158300Z     ...         dtype=torch.quint8,
2025-07-24T04:20:30.6158480Z     ...         quant_min_lower_bound=0,
2025-07-24T04:20:30.6158670Z     ...         quant_max_upper_bound=255,
2025-07-24T04:20:30.6158840Z     ...     ),
2025-07-24T04:20:30.6159000Z     ...     weight_dtype=DTypeWithConstraints(
2025-07-24T04:20:30.6159190Z     ...         dtype=torch.qint8,
2025-07-24T04:20:30.6159380Z     ...         quant_min_lower_bound=-128,
2025-07-24T04:20:30.6159580Z     ...         quant_max_upper_bound=127,
2025-07-24T04:20:30.6159800Z     ...     ),
2025-07-24T04:20:30.6159930Z     ...     bias_dtype=torch.float)
2025-07-24T04:20:30.6160050Z 
2025-07-24T04:20:30.6160120Z     >>> dtype_config1.input_dtype
2025-07-24T04:20:30.6160280Z     torch.quint8
2025-07-24T04:20:30.6160370Z 
2025-07-24T04:20:30.6160430Z     >>> dtype_config2.input_dtype
2025-07-24T04:20:30.6160590Z     torch.quint8
2025-07-24T04:20:30.6160680Z 
2025-07-24T04:20:30.6160760Z     >>> dtype_config2.input_dtype_with_constraints
2025-07-24T04:20:30.6166210Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-07-24T04:20:30.6166610Z 
2025-07-24T04:20:30.6166760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6345420Z 
2025-07-24T04:20:30.6346190Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-07-24T04:20:30.6347130Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6347360Z 
2025-07-24T04:20:30.6347530Z Takes in optional filter values and generates two tables with desired information.
2025-07-24T04:20:30.6347790Z 
2025-07-24T04:20:30.6347920Z The generated tables are presented in both a list-of-lists format
2025-07-24T04:20:30.6348230Z 
2025-07-24T04:20:30.6348360Z The reason for the two tables are that they handle different things:
2025-07-24T04:20:30.6348720Z 1.) the first table handles all tensor level information
2025-07-24T04:20:30.6349030Z 2.) the second table handles and displays all channel based information
2025-07-24T04:20:30.6349230Z 
2025-07-24T04:20:30.6349420Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-07-24T04:20:30.6349880Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-07-24T04:20:30.6350360Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-07-24T04:20:30.6350630Z 
2025-07-24T04:20:30.6350680Z Tensor table columns:
2025-07-24T04:20:30.6350900Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:30.6351200Z     ----  ---------  ---------   ---------   ---------        ---------
2025-07-24T04:20:30.6351360Z 
2025-07-24T04:20:30.6351430Z Per-Channel table columns:
2025-07-24T04:20:30.6351680Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:30.6351990Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-07-24T04:20:30.6352170Z 
2025-07-24T04:20:30.6352210Z Args:
2025-07-24T04:20:30.6352440Z     feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:30.6352730Z         contain this filter substring
2025-07-24T04:20:30.6352970Z         Default = "", results in all the features being printed
2025-07-24T04:20:30.6353290Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:30.6353670Z         Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:30.6353880Z 
2025-07-24T04:20:30.6353950Z Returns a dictionary with two keys:
2025-07-24T04:20:30.6354190Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-07-24T04:20:30.6354430Z     "tensor_level_info", "channel_level_info"
2025-07-24T04:20:30.6354640Z         Each key maps to a tuple with:
2025-07-24T04:20:30.6354840Z             A list of the headers of each table
2025-07-24T04:20:30.6355090Z             A list of lists containing the table information row by row
2025-07-24T04:20:30.6355380Z             The 0th index row will contain the headers of the columns
2025-07-24T04:20:30.6355630Z             The rest of the rows will contain data
2025-07-24T04:20:30.6355840Z 
2025-07-24T04:20:30.6355890Z Example Use:
2025-07-24T04:20:30.6356050Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:30.6356300Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-07-24T04:20:30.6356580Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:30.6356930Z     ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-07-24T04:20:30.6357160Z 
2025-07-24T04:20:30.6357320Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6357540Z 
2025-07-24T04:20:30.6358140Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-07-24T04:20:30.6358990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6359220Z 
2025-07-24T04:20:30.6359390Z Takes in optional filter values and prints out formatted tables of the information.
2025-07-24T04:20:30.6359620Z 
2025-07-24T04:20:30.6359830Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-07-24T04:20:30.6360200Z 1.) the first table handles all tensor level information
2025-07-24T04:20:30.6360490Z 2.) the second table handles and displays all channel based information
2025-07-24T04:20:30.6360710Z 
2025-07-24T04:20:30.6360900Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-07-24T04:20:30.6361390Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-07-24T04:20:30.6361890Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-07-24T04:20:30.6362160Z 
2025-07-24T04:20:30.6362220Z Tensor table columns:
2025-07-24T04:20:30.6362440Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:30.6362720Z ----  ---------  ---------   ---------   ---------        ---------
2025-07-24T04:20:30.6362890Z 
2025-07-24T04:20:30.6362950Z Per-Channel table columns:
2025-07-24T04:20:30.6363070Z 
2025-07-24T04:20:30.6363200Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:30.6363520Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-07-24T04:20:30.6363690Z 
2025-07-24T04:20:30.6363730Z Args:
2025-07-24T04:20:30.6363960Z     feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:30.6364260Z         contain this filter substring
2025-07-24T04:20:30.6364490Z         Default = "", results in all the features being printed
2025-07-24T04:20:30.6364820Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:30.6365200Z         Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:30.6365420Z 
2025-07-24T04:20:30.6365470Z Example Use:
2025-07-24T04:20:30.6365640Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:30.6365880Z     >>> mod_report_visualizer.generate_table_visualization(
2025-07-24T04:20:30.6366170Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:30.6366410Z     ... )
2025-07-24T04:20:30.6366590Z     >>> # prints out neatly formatted table with per_channel_min info
2025-07-24T04:20:30.6366850Z     >>> # for all modules in block 1 of the model
2025-07-24T04:20:30.6367000Z 
2025-07-24T04:20:30.6367150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6367370Z 
2025-07-24T04:20:30.6367960Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-07-24T04:20:30.6368810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6369030Z 
2025-07-24T04:20:30.6369180Z Takes in a feature and optional module_filter and plots of the desired data.
2025-07-24T04:20:30.6369390Z 
2025-07-24T04:20:30.6369560Z For per channel features, it averages the value across the channels and plots a point
2025-07-24T04:20:30.6369950Z per module. The reason for this is that for models with hundreds of channels, it can
2025-07-24T04:20:30.6370340Z be hard to differentiate one channel line from another, and so the point of generating
2025-07-24T04:20:30.6370740Z a single average point per module is to give a sense of general trends that encourage
2025-07-24T04:20:30.6371050Z further deep dives.
2025-07-24T04:20:30.6371140Z 
2025-07-24T04:20:30.6371190Z Note:
2025-07-24T04:20:30.6371420Z     Only features in the report that have tensor value data are plottable by this class
2025-07-24T04:20:30.6371740Z     When the tensor information is plotted, it will plot:
2025-07-24T04:20:30.6372000Z         idx as the x val, feature value as the y_val
2025-07-24T04:20:30.6372240Z     When the channel information is plotted, it will plot:
2025-07-24T04:20:30.6372570Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-07-24T04:20:30.6372940Z         The reason for this is that we want to be able to compare values across the
2025-07-24T04:20:30.6373410Z         channels for same layer, and it will be hard if values are staggered by idx
2025-07-24T04:20:30.6373740Z         This means each module is represented by only 1 x value
2025-07-24T04:20:30.6373980Z Args:
2025-07-24T04:20:30.6374190Z     feature_filter (str): Filters the features presented to only those that
2025-07-24T04:20:30.6374450Z         contain this filter substring
2025-07-24T04:20:30.6374740Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:30.6375120Z         Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:30.6375330Z 
2025-07-24T04:20:30.6375380Z Example Use:
2025-07-24T04:20:30.6375530Z     >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:30.6375770Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-07-24T04:20:30.6376050Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:30.6376290Z     ... )
2025-07-24T04:20:30.6376460Z     >>> # outputs line plot of per_channel_min information for all
2025-07-24T04:20:30.6376760Z     >>> # modules in block1 of model each channel gets it's own line,
2025-07-24T04:20:30.6377050Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-07-24T04:20:30.6377230Z 
2025-07-24T04:20:30.6377380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.6377600Z 
2025-07-24T04:20:30.6378200Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-07-24T04:20:30.6379010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.6379230Z 
2025-07-24T04:20:30.6379400Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-07-24T04:20:30.6379630Z 
2025-07-24T04:20:30.6379680Z Note:
2025-07-24T04:20:30.6379910Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-07-24T04:20:30.6380300Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-07-24T04:20:30.6380670Z         a specific model, make sure to specify both the model and the feature properly
2025-07-24T04:20:30.6381050Z         in the filters and you should be able to see a distribution of the channel data
2025-07-24T04:20:30.6381260Z 
2025-07-24T04:20:30.6381310Z Args:
2025-07-24T04:20:30.6381580Z     feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:30.6381860Z         contain this filter substring
2025-07-24T04:20:30.6382100Z         Default = "", results in all the features being printed
2025-07-24T04:20:30.6382430Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:30.6382810Z         Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:30.6383160Z     num_bins (int, optional): The number of bins to create the histogram with
2025-07-24T04:20:30.6383490Z         Default = 10, the values will be split into 10 equal sized bins
2025-07-24T04:20:30.6383700Z 
2025-07-24T04:20:30.6383750Z Example Use:
2025-07-24T04:20:30.6383880Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:30.6384170Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-07-24T04:20:30.6384540Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:30.6384770Z     ... )
2025-07-24T04:20:30.6385000Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-07-24T04:20:30.6385390Z         information is gathered across all channels for all modules in block 1 for the
2025-07-24T04:20:30.6385760Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-07-24T04:20:30.6385960Z 
2025-07-24T04:20:30.6386130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.9882780Z 
2025-07-24T04:20:30.9883630Z msg = Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-07-24T04:20:30.9884400Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.9884630Z 
2025-07-24T04:20:30.9884830Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-07-24T04:20:30.9885270Z with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-07-24T04:20:30.9885720Z though the requirements on the type of model more-so depends on the specific report the user
2025-07-24T04:20:30.9886170Z is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-07-24T04:20:30.9886600Z a set of Detector classes, each of which generate reports on quantization configuration
2025-07-24T04:20:30.9886900Z issues a use might have.
2025-07-24T04:20:30.9887010Z 
2025-07-24T04:20:30.9887080Z Currently supports generating reports on:
2025-07-24T04:20:30.9887360Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-07-24T04:20:30.9887740Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-07-24T04:20:30.9888140Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-07-24T04:20:30.9888520Z - Suggestions for outlier detection for all layers (Graph Modules)
2025-07-24T04:20:30.9888720Z 
2025-07-24T04:20:30.9888950Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-07-24T04:20:30.9889470Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-07-24T04:20:30.9889980Z class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-07-24T04:20:30.9890390Z has the capability to remove all the observers it inserted as well.
2025-07-24T04:20:30.9890590Z 
2025-07-24T04:20:30.9890770Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-07-24T04:20:30.9891010Z 
2025-07-24T04:20:30.9891230Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-07-24T04:20:30.9891710Z     Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-07-24T04:20:30.9892060Z 
2025-07-24T04:20:30.9892230Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-07-24T04:20:30.9892610Z     This set is generated by calling the get_detector_name() of each detector
2025-07-24T04:20:30.9892820Z 
2025-07-24T04:20:30.9893030Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-07-24T04:20:30.9893490Z     The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-07-24T04:20:30.9893810Z     can be removed at the end if desired
2025-07-24T04:20:30.9893940Z 
2025-07-24T04:20:30.9894190Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-07-24T04:20:30.9894590Z     This is to ensure we only insert observers once with the ModelReport instance
2025-07-24T04:20:30.9894800Z 
2025-07-24T04:20:30.9894950Z * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-07-24T04:20:30.9895350Z     The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-07-24T04:20:30.9895790Z     instance. This also allows the functionality where we can generate the report multiple times
2025-07-24T04:20:30.9896140Z     as long as we haven't removed the observers yet.
2025-07-24T04:20:30.9896290Z 
2025-07-24T04:20:30.9896390Z Note:
2025-07-24T04:20:30.9896650Z     This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-07-24T04:20:30.9897120Z     full functionality is available as long as there is a traceable GraphModule that is being used.
2025-07-24T04:20:30.9897560Z     One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-07-24T04:20:30.9897870Z     the QuantizationTracer class.
2025-07-24T04:20:30.9898000Z 
2025-07-24T04:20:30.9898060Z General Flow for Fx workflow:
2025-07-24T04:20:30.9898410Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-07-24T04:20:30.9898770Z 2.) Prepare your model with prepare_fx
2025-07-24T04:20:30.9899050Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-07-24T04:20:30.9899330Z 4.) Calibrate your model with data
2025-07-24T04:20:30.9899670Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-07-24T04:20:30.9899990Z Optional
2025-07-24T04:20:30.9900230Z     6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-07-24T04:20:30.9900610Z     7.) To help in parsing report information and debugging, view report info as a:
2025-07-24T04:20:30.9900880Z         - Table
2025-07-24T04:20:30.9901000Z         - Histogram
2025-07-24T04:20:30.9901140Z         - Line plot
2025-07-24T04:20:30.9901420Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-07-24T04:20:30.9901680Z 
2025-07-24T04:20:30.9901750Z Example (with QuantizationTracer):
2025-07-24T04:20:30.9901930Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:30.9902090Z     >>> # get the necessary qconfig
2025-07-24T04:20:30.9902280Z     >>> config = PrepareCustomConfig()
2025-07-24T04:20:30.9902500Z     >>> skipped_module_names, skipped_module_classes = (
2025-07-24T04:20:30.9902770Z     ...     get_skipped_module_name_and_classes(config, False)
2025-07-24T04:20:30.9902970Z     ... )
2025-07-24T04:20:30.9903040Z 
2025-07-24T04:20:30.9903130Z     >>> # initialize our model and get GraphModule
2025-07-24T04:20:30.9903330Z     >>> model = SomeModel()
2025-07-24T04:20:30.9903580Z     >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-07-24T04:20:30.9903910Z     >>> graph_module = GraphModule(model, tracer.trace(model))
2025-07-24T04:20:30.9904080Z 
2025-07-24T04:20:30.9904180Z     >>> # get our set of detectors and ModelReport instance
2025-07-24T04:20:30.9904440Z     >>> detector_set = set(
2025-07-24T04:20:30.9904590Z     ...     [
2025-07-24T04:20:30.9904740Z     ...         DynamicStaticDetector(tolerance=0.5),
2025-07-24T04:20:30.9905010Z     ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-07-24T04:20:30.9905250Z     ...     ]
2025-07-24T04:20:30.9905370Z     ... )
2025-07-24T04:20:30.9905570Z     >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-07-24T04:20:30.9905770Z 
2025-07-24T04:20:30.9905870Z     >>> # now we insert the observers and calibrate the model
2025-07-24T04:20:30.9906200Z     >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-07-24T04:20:30.9906500Z     >>> for i in range(num_callibration_batches):
2025-07-24T04:20:30.9906770Z     >>>     example_input = get_callibration_input()
2025-07-24T04:20:30.9907000Z     >>>     tracer_model_with_observers(example_input)
2025-07-24T04:20:30.9907160Z 
2025-07-24T04:20:30.9907320Z     >>> # finally we generate the reports and optionally remove the observers we inserted
2025-07-24T04:20:30.9907630Z     >>> reports = tracer_reporter.generate_model_report(
2025-07-24T04:20:30.9907870Z     ...     remove_inserted_observers=True
2025-07-24T04:20:30.9908050Z     ... )
2025-07-24T04:20:30.9908120Z 
2025-07-24T04:20:30.9908260Z     >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-07-24T04:20:30.9908580Z     >>> qconfigs = model_report.generate_qconfig_mapping()
2025-07-24T04:20:30.9908750Z 
2025-07-24T04:20:30.9908900Z     >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-07-24T04:20:30.9909260Z     >>> qconfigs = model_report.generate_equalization_mapping()
2025-07-24T04:20:30.9909450Z 
2025-07-24T04:20:30.9909620Z     >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-07-24T04:20:30.9909980Z     >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-07-24T04:20:30.9910180Z 
2025-07-24T04:20:30.9910180Z 
2025-07-24T04:20:30.9910340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:30.9910560Z 
2025-07-24T04:20:30.9911040Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-07-24T04:20:30.9911740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:30.9912070Z Squashes the sparse masks into the appropriate tensors.
2025-07-24T04:20:30.9912240Z 
2025-07-24T04:20:30.9912370Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-07-24T04:20:30.9912680Z         the module will have a `sparse_params` dict attached to it.
2025-07-24T04:20:30.9912860Z 
2025-07-24T04:20:30.9912910Z         Args:
2025-07-24T04:20:30.9913110Z             params_to_keep: List of keys to save in the module or a dict
2025-07-24T04:20:30.9913390Z                             representing the modules and keys that will have
2025-07-24T04:20:30.9913640Z                             sparsity parameters saved
2025-07-24T04:20:30.9913920Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-07-24T04:20:30.9914220Z                             saved for specific layers. The keys in the dict
2025-07-24T04:20:30.9914480Z                             should be the module fqn, while the values should
2025-07-24T04:20:30.9914750Z                             be a list of strings with the names of the variables
2025-07-24T04:20:30.9915010Z                             to save in the `sparse_params`
2025-07-24T04:20:30.9915150Z 
2025-07-24T04:20:30.9915200Z         Examples:
2025-07-24T04:20:30.9915370Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-07-24T04:20:30.9915580Z             >>> # Don't save any sparse params
2025-07-24T04:20:30.9915790Z             >>> sparsifier.squash_mask()
2025-07-24T04:20:30.9916000Z             >>> hasattr(model.submodule1, "sparse_params")
2025-07-24T04:20:30.9916230Z             False
2025-07-24T04:20:30.9916320Z 
2025-07-24T04:20:30.9916390Z             >>> # Keep sparse params per layer
2025-07-24T04:20:30.9916590Z             >>> sparsifier.squash_mask(
2025-07-24T04:20:30.9916800Z             ...     params_to_keep_per_layer={
2025-07-24T04:20:30.9917020Z             ...         "submodule1.linear1": ("foo", "bar"),
2025-07-24T04:20:30.9917250Z             ...         "submodule2.linear42": ("baz",),
2025-07-24T04:20:30.9917440Z             ...     }
2025-07-24T04:20:30.9917570Z             ... )
2025-07-24T04:20:30.9917750Z             >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:30.9918000Z             {'foo': 42, 'bar': 24}
2025-07-24T04:20:30.9918220Z             >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:30.9918430Z             {'baz': 0.1}
2025-07-24T04:20:30.9918540Z 
2025-07-24T04:20:30.9918610Z             >>> # Keep sparse params for all layers
2025-07-24T04:20:30.9918870Z             >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-07-24T04:20:30.9919140Z             >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:30.9919360Z             {'foo': 42, 'bar': 24}
2025-07-24T04:20:30.9919580Z             >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:30.9919800Z             {'foo': 42, 'bar': 24}
2025-07-24T04:20:30.9919910Z 
2025-07-24T04:20:30.9920070Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-07-24T04:20:30.9920320Z             >>> # some other layers
2025-07-24T04:20:30.9920540Z             >>> sparsifier.squash_mask(
2025-07-24T04:20:30.9925630Z             ...     params_to_keep=("foo", "bar"),
2025-07-24T04:20:30.9925910Z             ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-07-24T04:20:30.9926140Z             ... )
2025-07-24T04:20:30.9926330Z             >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:30.9926550Z             {'foo': 42, 'bar': 24}
2025-07-24T04:20:30.9926770Z             >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:30.9927000Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-07-24T04:20:30.9927170Z         
2025-07-24T04:20:30.9927390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.0744090Z 
2025-07-24T04:20:31.0744880Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-07-24T04:20:31.0745770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.0746020Z 
2025-07-24T04:20:31.0746190Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-07-24T04:20:31.0746580Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-07-24T04:20:31.0746960Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-07-24T04:20:31.0747240Z input by the user.
2025-07-24T04:20:31.0747470Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-07-24T04:20:31.0747780Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-07-24T04:20:31.0747950Z 
2025-07-24T04:20:31.0748010Z Note::
2025-07-24T04:20:31.0748290Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-07-24T04:20:31.0748560Z 
2025-07-24T04:20:31.0748610Z Args:
2025-07-24T04:20:31.0748730Z     model (nn.Module):
2025-07-24T04:20:31.0748980Z         The model whose layers will be sparsified. The layers that needs to be
2025-07-24T04:20:31.0749350Z         sparsified should be added separately using the register_layer() function
2025-07-24T04:20:31.0749640Z     aggregate_fn (Optional, Callable):
2025-07-24T04:20:31.0749940Z         default aggregate_fn that is used if not specified while registering the layer.
2025-07-24T04:20:31.0750530Z         specifies how inputs should be aggregated over time.
2025-07-24T04:20:31.0750890Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-07-24T04:20:31.0751180Z         Example
2025-07-24T04:20:31.0751390Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-07-24T04:20:31.0751650Z             reduce_fn (Optional, Callable):
2025-07-24T04:20:31.0751950Z                 default reduce_fn that is used if not specified while registering the layer.
2025-07-24T04:20:31.0752340Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-07-24T04:20:31.0752650Z                 calling agg_fn() on all inputs.
2025-07-24T04:20:31.0752920Z                 Example
2025-07-24T04:20:31.0753140Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-07-24T04:20:31.0753410Z             mask_fn (Optional, Callable):
2025-07-24T04:20:31.0753740Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-07-24T04:20:31.0754160Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-07-24T04:20:31.0754460Z                 register_layer().
2025-07-24T04:20:31.0754800Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-07-24T04:20:31.0755190Z                 arguments.
2025-07-24T04:20:31.0755370Z             features (Optional, list):
2025-07-24T04:20:31.0755680Z                 default selected features to sparsify.
2025-07-24T04:20:31.0755990Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-07-24T04:20:31.0756280Z                 For example,
2025-07-24T04:20:31.0756550Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-07-24T04:20:31.0756830Z             feature_dim (Optional, int):
2025-07-24T04:20:31.0757130Z                 default dimension of input features. Again, features along this dim will be chosen
2025-07-24T04:20:31.0757420Z                 for sparsification.
2025-07-24T04:20:31.0757600Z             sparse_config (Dict):
2025-07-24T04:20:31.0757850Z                 Default configuration for the mask_fn. This config will be passed
2025-07-24T04:20:31.0758110Z                 with the mask_fn()
2025-07-24T04:20:31.0758230Z 
2025-07-24T04:20:31.0758280Z Example:
2025-07-24T04:20:31.0758410Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:31.0758560Z     >>> model = SomeModel()
2025-07-24T04:20:31.0758820Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-07-24T04:20:31.0759090Z     >>> # Initialize aggregate_fn
2025-07-24T04:20:31.0759260Z     >>> def agg_fn(x, y):
2025-07-24T04:20:31.0759410Z     >>>     return x + y
2025-07-24T04:20:31.0759550Z     >>>
2025-07-24T04:20:31.0759670Z     >>> # Initialize reduce_fn
2025-07-24T04:20:31.0759840Z     >>> def reduce_fn(x):
2025-07-24T04:20:31.0760000Z     >>>     return torch.mean(x, dim=0)
2025-07-24T04:20:31.0760180Z     >>>
2025-07-24T04:20:31.0760290Z     >>> # Initialize mask_fn
2025-07-24T04:20:31.0760460Z     >>> def mask_fn(data):
2025-07-24T04:20:31.0760640Z     >>>     return torch.eye(data.shape).to(data.device)
2025-07-24T04:20:31.0760840Z     >>>
2025-07-24T04:20:31.0760950Z     >>>
2025-07-24T04:20:31.0761080Z     >>> act_sparsifier.register_layer(
2025-07-24T04:20:31.0761270Z     ...     model.some_layer,
2025-07-24T04:20:31.0761430Z     ...     aggregate_fn=agg_fn,
2025-07-24T04:20:31.0761610Z     ...     reduce_fn=reduce_fn,
2025-07-24T04:20:31.0761770Z     ...     mask_fn=mask_fn,
2025-07-24T04:20:31.0761920Z     ... )
2025-07-24T04:20:31.0762030Z     >>>
2025-07-24T04:20:31.0762150Z     >>> # start training process
2025-07-24T04:20:31.0762310Z     >>> for _ in [...]:
2025-07-24T04:20:31.0762450Z     >>> # epoch starts
2025-07-24T04:20:31.0762650Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-07-24T04:20:31.0762920Z     >>> # epoch ends
2025-07-24T04:20:31.0763070Z     >>>     act_sparsifier.step()
2025-07-24T04:20:31.0763250Z     >>> # end training process
2025-07-24T04:20:31.0763420Z     >>> sparsifier.squash_mask()
2025-07-24T04:20:31.0763540Z 
2025-07-24T04:20:31.0763690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.0763910Z 
2025-07-24T04:20:31.0764480Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-07-24T04:20:31.0765270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.0765510Z 
2025-07-24T04:20:31.0765630Z Abstract method that needs to be implemented by the child class.
2025-07-24T04:20:31.0765980Z The expected return type should is a dictionary of name to schedule_param value
2025-07-24T04:20:31.0766370Z The returned values will be updated in sparsifier when the scheduler step() function
2025-07-24T04:20:31.0766650Z is called.
2025-07-24T04:20:31.0766720Z 
2025-07-24T04:20:31.0766770Z Example:
2025-07-24T04:20:31.0766900Z     >>> def get_schedule_param(self):
2025-07-24T04:20:31.0767080Z     ...     new_param = {}
2025-07-24T04:20:31.0767310Z     ...     for name in self.sparsifier.data_groups.keys():
2025-07-24T04:20:31.0767530Z     ...         new_param[name] = (
2025-07-24T04:20:31.0767780Z     ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-07-24T04:20:31.0768050Z     ...         )
2025-07-24T04:20:31.0768190Z     ...     return new_param
2025-07-24T04:20:31.0768310Z 
2025-07-24T04:20:31.0768510Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-07-24T04:20:31.0768830Z would be halved
2025-07-24T04:20:31.0768910Z 
2025-07-24T04:20:31.0769070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.0769290Z 
2025-07-24T04:20:31.0769730Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-07-24T04:20:31.0770370Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.0770590Z 
2025-07-24T04:20:31.0770710Z Creates a RelaxedBernoulli distribution, parametrized by
2025-07-24T04:20:31.0771000Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-07-24T04:20:31.0771320Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-07-24T04:20:31.0771640Z so the values are in (0, 1), and has reparametrizable samples.
2025-07-24T04:20:31.0771820Z 
2025-07-24T04:20:31.0771870Z Example::
2025-07-24T04:20:31.0771940Z 
2025-07-24T04:20:31.0772020Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:31.0772250Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-07-24T04:20:31.0772480Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-07-24T04:20:31.0772670Z     >>> m.sample()
2025-07-24T04:20:31.0772820Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-07-24T04:20:31.0772960Z 
2025-07-24T04:20:31.0773010Z Args:
2025-07-24T04:20:31.0773150Z     temperature (Tensor): relaxation temperature
2025-07-24T04:20:31.0773410Z     probs (Number, Tensor): the probability of sampling `1`
2025-07-24T04:20:31.0773680Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-07-24T04:20:31.0773840Z 
2025-07-24T04:20:31.0774000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.0774220Z 
2025-07-24T04:20:31.0774690Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-07-24T04:20:31.0775410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.0775630Z 
2025-07-24T04:20:31.0775760Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-07-24T04:20:31.0776080Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-07-24T04:20:31.0776410Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-07-24T04:20:31.0776720Z its samples are on simplex, and are reparametrizable.
2025-07-24T04:20:31.0776890Z 
2025-07-24T04:20:31.0776930Z Example::
2025-07-24T04:20:31.0777010Z 
2025-07-24T04:20:31.0777090Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:31.0777340Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-07-24T04:20:31.0777630Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-07-24T04:20:31.0777820Z     >>> m.sample()
2025-07-24T04:20:31.0777980Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-07-24T04:20:31.0778110Z 
2025-07-24T04:20:31.0778160Z Args:
2025-07-24T04:20:31.0778300Z     temperature (Tensor): relaxation temperature
2025-07-24T04:20:31.0778520Z     probs (Tensor): event probabilities
2025-07-24T04:20:31.0778770Z     logits (Tensor): unnormalized log probability for each event
2025-07-24T04:20:31.0778950Z 
2025-07-24T04:20:31.0779100Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.0779320Z 
2025-07-24T04:20:31.0779860Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-07-24T04:20:31.0780570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.0780800Z 
2025-07-24T04:20:31.0780980Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-07-24T04:20:31.0781340Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-07-24T04:20:31.0781520Z 
2025-07-24T04:20:31.0781630Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-07-24T04:20:31.0781800Z 
2025-07-24T04:20:31.0781850Z Example:
2025-07-24T04:20:31.0782000Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-07-24T04:20:31.0782240Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:31.0782460Z     >>> m = LowRankMultivariateNormal(
2025-07-24T04:20:31.0782710Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-07-24T04:20:31.0782930Z     ... )
2025-07-24T04:20:31.0783180Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-07-24T04:20:31.0783480Z     tensor([-0.2102, -0.5429])
2025-07-24T04:20:31.0783590Z 
2025-07-24T04:20:31.0783640Z Args:
2025-07-24T04:20:31.0783840Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-07-24T04:20:31.0784210Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-07-24T04:20:31.0784510Z         `batch_shape + event_shape + (rank,)`
2025-07-24T04:20:31.0784800Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-07-24T04:20:31.0785090Z         `batch_shape + event_shape`
2025-07-24T04:20:31.0785210Z 
2025-07-24T04:20:31.0785260Z Note:
2025-07-24T04:20:31.0785480Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-07-24T04:20:31.0785860Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-07-24T04:20:31.0786210Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-07-24T04:20:31.0786580Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-07-24T04:20:31.0786980Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-07-24T04:20:31.0787270Z     the small size "capacitance" matrix::
2025-07-24T04:20:31.0787410Z 
2025-07-24T04:20:31.0787550Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-07-24T04:20:31.0787740Z 
2025-07-24T04:20:31.0787890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.1017210Z 
2025-07-24T04:20:31.1017920Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-07-24T04:20:31.1018640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:31.1018880Z 
2025-07-24T04:20:31.1019050Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-07-24T04:20:31.1019410Z distribution where all component are from different parameterizations of
2025-07-24T04:20:31.1019970Z the same distribution type. It is parameterized by a `Categorical`
2025-07-24T04:20:31.1020290Z "selecting distribution" (over `k` component) and a component
2025-07-24T04:20:31.1020610Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-07-24T04:20:31.1020900Z (equal to `[k]`) which indexes each (batch of) component.
2025-07-24T04:20:31.1021070Z 
2025-07-24T04:20:31.1021130Z Examples::
2025-07-24T04:20:31.1021210Z 
2025-07-24T04:20:31.1021280Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:31.1021540Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-07-24T04:20:31.1021860Z     >>> # weighted normal distributions
2025-07-24T04:20:31.1022070Z     >>> mix = D.Categorical(torch.ones(5,))
2025-07-24T04:20:31.1022300Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-07-24T04:20:31.1022610Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:31.1022750Z 
2025-07-24T04:20:31.1022890Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-07-24T04:20:31.1023160Z     >>> # weighted bivariate normal distributions
2025-07-24T04:20:31.1023380Z     >>> mix = D.Categorical(torch.ones(5,))
2025-07-24T04:20:31.1023580Z     >>> comp = D.Independent(D.Normal(
2025-07-24T04:20:31.1023790Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-07-24T04:20:31.1024010Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:31.1024150Z 
2025-07-24T04:20:31.1024260Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-07-24T04:20:31.1024570Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-07-24T04:20:31.1024840Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-07-24T04:20:31.1025040Z     >>> comp = D.Independent(D.Normal(
2025-07-24T04:20:31.1025260Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-07-24T04:20:31.1025480Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:31.1025610Z 
2025-07-24T04:20:31.1025650Z Args:
2025-07-24T04:20:31.1025850Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-07-24T04:20:31.1026160Z         instance. Manages the probability of selecting component.
2025-07-24T04:20:31.1026450Z         The number of categories must match the rightmost batch
2025-07-24T04:20:31.1026740Z         dimension of the `component_distribution`. Must have either
2025-07-24T04:20:31.1027020Z         scalar `batch_shape` or `batch_shape` matching
2025-07-24T04:20:31.1027250Z         `component_distribution.batch_shape[:-1]`
2025-07-24T04:20:31.1027530Z     component_distribution: `torch.distributions.Distribution`-like
2025-07-24T04:20:31.1027840Z         instance. Right-most batch dimension indexes component.
2025-07-24T04:20:31.1028020Z 
2025-07-24T04:20:31.1028180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:31.1028390Z 
2025-07-24T04:20:31.1028450Z gathering tests
2025-07-24T04:20:31.1028590Z running 720 test(s)
2025-07-24T04:20:31.1029030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1089 <- wrt source file
2025-07-24T04:20:31.1029700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::typename:0
2025-07-24T04:20:31.1030460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1125 <- wrt source file
2025-07-24T04:20:31.1031120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0
2025-07-24T04:20:31.1031810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1210 <- wrt source file
2025-07-24T04:20:31.1032510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0
2025-07-24T04:20:31.1033250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1259 <- wrt source file
2025-07-24T04:20:31.1033970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-07-24T04:20:31.1034680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1296 <- wrt source file
2025-07-24T04:20:31.1035400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0
2025-07-24T04:20:31.1036170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1451 <- wrt source file
2025-07-24T04:20:31.1036920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-07-24T04:20:31.1037650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2574 <- wrt source file
2025-07-24T04:20:31.1038300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::compile:0
2025-07-24T04:20:31.1039010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2847 <- wrt source file
2025-07-24T04:20:31.1039780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-07-24T04:20:31.1040510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 155 <- wrt source file
2025-07-24T04:20:31.1041200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library.define:0
2025-07-24T04:20:31.1041920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 258 <- wrt source file
2025-07-24T04:20:31.1042680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-07-24T04:20:31.1043400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 321 <- wrt source file
2025-07-24T04:20:31.1044080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::Library.impl:0
2025-07-24T04:20:31.1044740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::define:0, line 532 <- wrt source file
2025-07-24T04:20:31.1045370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::define:0
2025-07-24T04:20:31.1046010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::impl:0, line 638 <- wrt source file
2025-07-24T04:20:31.1046690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::impl:0
2025-07-24T04:20:31.1047350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 819 <- wrt source file
2025-07-24T04:20:31.1048040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_kernel:0
2025-07-24T04:20:31.1048730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_autocast:0, line 887 <- wrt source file
2025-07-24T04:20:31.1049450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_autocast:0
2025-07-24T04:20:31.1050170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 1238 <- wrt source file
2025-07-24T04:20:31.1053540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0
2025-07-24T04:20:31.1054300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1327 <- wrt source file
2025-07-24T04:20:31.1055020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py::register_vmap:0
2025-07-24T04:20:31.1055690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-07-24T04:20:31.1056360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0
2025-07-24T04:20:31.1057030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-07-24T04:20:31.1057690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0
2025-07-24T04:20:31.1058370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-07-24T04:20:31.1059060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-07-24T04:20:31.1148530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-07-24T04:20:31.1149380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0
2025-07-24T04:20:31.1150110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-07-24T04:20:31.1150870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0
2025-07-24T04:20:31.1151620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-07-24T04:20:31.1152390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0
2025-07-24T04:20:31.1153140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-07-24T04:20:31.1153880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0
2025-07-24T04:20:31.1154630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1576 <- wrt source file
2025-07-24T04:20:31.1155390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0
2025-07-24T04:20:31.1156120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1711 <- wrt source file
2025-07-24T04:20:31.1156840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0
2025-07-24T04:20:31.1157710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1959 <- wrt source file
2025-07-24T04:20:31.1158490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-07-24T04:20:31.1164900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1978 <- wrt source file
2025-07-24T04:20:31.1165660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0
2025-07-24T04:20:31.1166470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-07-24T04:20:31.1167230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-07-24T04:20:31.1167960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-07-24T04:20:31.1168670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-07-24T04:20:31.1169440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file
2025-07-24T04:20:31.1170250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-07-24T04:20:31.1171010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-07-24T04:20:31.1171710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-07-24T04:20:31.1172410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-07-24T04:20:31.1173100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-07-24T04:20:31.1173790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-07-24T04:20:31.1174470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0
2025-07-24T04:20:31.1175160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file
2025-07-24T04:20:31.1175870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-07-24T04:20:31.1176530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py::list:0, line 468 <- wrt source file
2025-07-24T04:20:31.1177140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py::list:0
2025-07-24T04:20:31.1177760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py::help:0, line 528 <- wrt source file
2025-07-24T04:20:31.1178380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py::help:0
2025-07-24T04:20:31.1179030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-07-24T04:20:31.1179770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-07-24T04:20:31.1180480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-07-24T04:20:31.1181260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0
2025-07-24T04:20:31.1182000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-07-24T04:20:31.1182750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0
2025-07-24T04:20:31.1183440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::split:0, line 193 <- wrt source file
2025-07-24T04:20:31.1184100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::split:0
2025-07-24T04:20:31.1184750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file
2025-07-24T04:20:31.1185420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::einsum:0
2025-07-24T04:20:31.1186130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file
2025-07-24T04:20:31.1186880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-07-24T04:20:31.1187590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file
2025-07-24T04:20:31.1188270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::tensordot:0
2025-07-24T04:20:31.1188950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file
2025-07-24T04:20:31.1189650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0
2025-07-24T04:20:31.1190350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file
2025-07-24T04:20:31.1191020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::block_diag:0
2025-07-24T04:20:31.1191700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file
2025-07-24T04:20:31.1192360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::cdist:0
2025-07-24T04:20:31.1193020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file
2025-07-24T04:20:31.4668600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0
2025-07-24T04:20:31.4669380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1567 <- wrt source file
2025-07-24T04:20:31.4670110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0
2025-07-24T04:20:31.4670990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1605 <- wrt source file
2025-07-24T04:20:31.4671690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0
2025-07-24T04:20:31.4672360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1778 <- wrt source file
2025-07-24T04:20:31.4673230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::norm:0
2025-07-24T04:20:31.4674010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1946 <- wrt source file
2025-07-24T04:20:31.4674710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::unravel_index:0
2025-07-24T04:20:31.4675410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2046 <- wrt source file
2025-07-24T04:20:31.4676100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0
2025-07-24T04:20:31.4676790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2146 <- wrt source file
2025-07-24T04:20:31.4677460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0
2025-07-24T04:20:31.4678160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0, line 15 <- wrt source file
2025-07-24T04:20:31.4678880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0
2025-07-24T04:20:31.4679610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0, line 5 <- wrt source file
2025-07-24T04:20:31.4680340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0
2025-07-24T04:20:31.4681080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-07-24T04:20:31.4681800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0
2025-07-24T04:20:31.4682510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-07-24T04:20:31.4683220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0
2025-07-24T04:20:31.4683920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-07-24T04:20:31.4684610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::skip_data:0
2025-07-24T04:20:31.4685320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-07-24T04:20:31.4686040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::register_package:0
2025-07-24T04:20:31.4686740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-07-24T04:20:31.4687440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py::save:0
2025-07-24T04:20:31.4688160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-07-24T04:20:31.4688930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-07-24T04:20:31.4689790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file
2025-07-24T04:20:31.4690600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-07-24T04:20:31.4691370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file
2025-07-24T04:20:31.4692120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-07-24T04:20:31.4692840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-07-24T04:20:31.4693550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0
2025-07-24T04:20:31.4694250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1763 <- wrt source file
2025-07-24T04:20:31.4694960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-07-24T04:20:31.4695680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file
2025-07-24T04:20:31.4696420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-07-24T04:20:31.4697150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-07-24T04:20:31.4697860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0
2025-07-24T04:20:31.4698600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 95 <- wrt source file
2025-07-24T04:20:31.4699360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-07-24T04:20:31.4700120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0, line 231 <- wrt source file
2025-07-24T04:20:31.4700850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0
2025-07-24T04:20:31.4701550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-07-24T04:20:31.4702220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0
2025-07-24T04:20:31.4702950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-07-24T04:20:31.4703790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-07-24T04:20:31.4704550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file
2025-07-24T04:20:31.4705360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0
2025-07-24T04:20:31.4706100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 342 <- wrt source file
2025-07-24T04:20:31.4706810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::save:0
2025-07-24T04:20:31.4707480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 412 <- wrt source file
2025-07-24T04:20:31.6532200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::load:0
2025-07-24T04:20:31.6532980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 560 <- wrt source file
2025-07-24T04:20:31.6533790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0
2025-07-24T04:20:31.6534550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-07-24T04:20:31.6535300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-07-24T04:20:31.6536040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-07-24T04:20:31.6536770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-07-24T04:20:31.6537490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-07-24T04:20:31.6538190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0
2025-07-24T04:20:31.6538930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-07-24T04:20:31.6539710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-07-24T04:20:31.6540460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-07-24T04:20:31.6541190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0
2025-07-24T04:20:31.6541940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file
2025-07-24T04:20:31.6542690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-07-24T04:20:31.6543440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file
2025-07-24T04:20:31.6544410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-07-24T04:20:31.6545140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file
2025-07-24T04:20:31.6545870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-07-24T04:20:31.6546860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file
2025-07-24T04:20:31.6547580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-07-24T04:20:31.6548390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file
2025-07-24T04:20:31.6549150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-07-24T04:20:31.6549920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file
2025-07-24T04:20:31.6550660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-07-24T04:20:31.6551410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file
2025-07-24T04:20:31.6552160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-07-24T04:20:31.6552920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file
2025-07-24T04:20:31.6553670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-07-24T04:20:31.6554440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-07-24T04:20:31.6555240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-07-24T04:20:31.6556020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 107 <- wrt source file
2025-07-24T04:20:31.6556730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-07-24T04:20:31.6557430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0, line 148 <- wrt source file
2025-07-24T04:20:31.6558120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0
2025-07-24T04:20:31.6558820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 163 <- wrt source file
2025-07-24T04:20:31.6559520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-07-24T04:20:31.6560250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 431 <- wrt source file
2025-07-24T04:20:31.6561050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-07-24T04:20:31.6561840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file
2025-07-24T04:20:31.6562670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-07-24T04:20:31.6563600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 269 <- wrt source file
2025-07-24T04:20:31.6564520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-07-24T04:20:31.6565310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-07-24T04:20:31.6566020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-07-24T04:20:31.6566720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-07-24T04:20:31.6567420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0
2025-07-24T04:20:31.6568140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-07-24T04:20:31.6568860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-07-24T04:20:31.6569600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 747 <- wrt source file
2025-07-24T04:20:31.6570350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-07-24T04:20:31.6571080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-07-24T04:20:31.6610010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-07-24T04:20:31.6610790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-07-24T04:20:31.6611580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-07-24T04:20:31.6612340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-07-24T04:20:31.6613090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-07-24T04:20:31.6613850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-07-24T04:20:31.6614620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-07-24T04:20:31.6615380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-07-24T04:20:31.6616260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-07-24T04:20:31.6617050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-07-24T04:20:31.6617960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-07-24T04:20:31.6618780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-07-24T04:20:31.6619590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-07-24T04:20:31.6620410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-07-24T04:20:31.6621220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-07-24T04:20:31.6622020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-07-24T04:20:31.6622930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-07-24T04:20:31.6623770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1096 <- wrt source file
2025-07-24T04:20:31.6624650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-07-24T04:20:31.6625520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1151 <- wrt source file
2025-07-24T04:20:31.6626390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-07-24T04:20:31.6627170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-07-24T04:20:31.6627880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-07-24T04:20:31.6628610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-07-24T04:20:31.6629330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-07-24T04:20:31.6630060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-07-24T04:20:31.6630800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-07-24T04:20:31.6631540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-07-24T04:20:31.6632280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-07-24T04:20:31.6633120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-07-24T04:20:31.6633940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-07-24T04:20:31.6634810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-07-24T04:20:31.6635610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-07-24T04:20:31.6636400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-07-24T04:20:31.6637120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-07-24T04:20:31.6637850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-07-24T04:20:31.6638590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-07-24T04:20:31.6639360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1380 <- wrt source file
2025-07-24T04:20:31.6640180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-07-24T04:20:31.6641040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file
2025-07-24T04:20:31.6641940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-07-24T04:20:31.6642790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 464 <- wrt source file
2025-07-24T04:20:31.6643600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-07-24T04:20:31.6644420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 583 <- wrt source file
2025-07-24T04:20:31.6645230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-07-24T04:20:31.6646000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2178 <- wrt source file
2025-07-24T04:20:31.6646710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-07-24T04:20:31.6647410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2482 <- wrt source file
2025-07-24T04:20:31.6648110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0
2025-07-24T04:20:31.6648810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2622 <- wrt source file
2025-07-24T04:20:31.6673660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0
2025-07-24T04:20:31.6674450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3055 <- wrt source file
2025-07-24T04:20:31.6675420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0
2025-07-24T04:20:31.6676190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3125 <- wrt source file
2025-07-24T04:20:31.6676960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0
2025-07-24T04:20:31.6677690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3434 <- wrt source file
2025-07-24T04:20:31.6678420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0
2025-07-24T04:20:31.6679150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3499 <- wrt source file
2025-07-24T04:20:31.6679890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-07-24T04:20:31.6680660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3569 <- wrt source file
2025-07-24T04:20:31.6681460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-07-24T04:20:31.6682200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5267 <- wrt source file
2025-07-24T04:20:31.6682860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/functional.py::pad:0
2025-07-24T04:20:31.6683520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-07-24T04:20:31.6684170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0
2025-07-24T04:20:31.6684820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-07-24T04:20:31.6685460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::normal_:0
2025-07-24T04:20:31.6686130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-07-24T04:20:31.6686800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0
2025-07-24T04:20:31.6687460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-07-24T04:20:31.6688120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::constant_:0
2025-07-24T04:20:31.6688770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-07-24T04:20:31.6689400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::ones_:0
2025-07-24T04:20:31.6690080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-07-24T04:20:31.6690710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0
2025-07-24T04:20:31.6691340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-07-24T04:20:31.6692040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::eye_:0
2025-07-24T04:20:31.6692700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-07-24T04:20:31.6693410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0
2025-07-24T04:20:31.6694100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-07-24T04:20:31.6694780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-07-24T04:20:31.6695460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-07-24T04:20:31.6696140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0
2025-07-24T04:20:31.6696820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-07-24T04:20:31.6697500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-07-24T04:20:31.6698180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-07-24T04:20:31.6698860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-07-24T04:20:31.6699530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-07-24T04:20:31.6700200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0
2025-07-24T04:20:31.6700860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-07-24T04:20:31.6701500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0
2025-07-24T04:20:31.6702150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-07-24T04:20:31.6702810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0
2025-07-24T04:20:31.6703480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-07-24T04:20:31.6709730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-07-24T04:20:31.6710420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-07-24T04:20:31.6711090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0
2025-07-24T04:20:31.6711820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-07-24T04:20:31.6712490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-07-24T04:20:31.6713160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-07-24T04:20:31.6713920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0
2025-07-24T04:20:31.6714630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-07-24T04:20:31.6715310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-07-24T04:20:31.6716010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 119 <- wrt source file
2025-07-24T04:20:31.6716740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-07-24T04:20:31.6717470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-07-24T04:20:31.6718190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-07-24T04:20:33.1340760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-07-24T04:20:33.1341620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-07-24T04:20:33.1342480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-07-24T04:20:33.1343340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-07-24T04:20:33.1344240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file
2025-07-24T04:20:33.1345160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-07-24T04:20:33.1346070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file
2025-07-24T04:20:33.1347000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-07-24T04:20:33.1347940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file
2025-07-24T04:20:33.1348880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-07-24T04:20:33.1349840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file
2025-07-24T04:20:33.1351220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-07-24T04:20:33.1352120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-07-24T04:20:33.1353060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-07-24T04:20:33.1353880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file
2025-07-24T04:20:33.1354780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-07-24T04:20:33.1355570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-07-24T04:20:33.1356330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-07-24T04:20:33.1357110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-07-24T04:20:33.1357930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-07-24T04:20:33.1358710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-07-24T04:20:33.1359440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-07-24T04:20:33.1360190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-07-24T04:20:33.1360960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-07-24T04:20:33.1361690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-07-24T04:20:33.1362380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0
2025-07-24T04:20:33.1363100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file
2025-07-24T04:20:33.1363840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-07-24T04:20:33.1364580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file
2025-07-24T04:20:33.1365300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-07-24T04:20:33.1366030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file
2025-07-24T04:20:33.1366760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-07-24T04:20:33.1367510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-07-24T04:20:33.1368190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0
2025-07-24T04:20:33.1368880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file
2025-07-24T04:20:33.1369650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-07-24T04:20:33.1370470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-07-24T04:20:33.1371280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-07-24T04:20:33.1372060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-07-24T04:20:33.1372830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-07-24T04:20:33.1373600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-07-24T04:20:33.1374390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-07-24T04:20:33.1375120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-07-24T04:20:33.1375810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0
2025-07-24T04:20:33.1376500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 431 <- wrt source file
2025-07-24T04:20:33.1377200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-07-24T04:20:33.1377910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 492 <- wrt source file
2025-07-24T04:20:33.1378620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-07-24T04:20:33.1379320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 548 <- wrt source file
2025-07-24T04:20:33.1380030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-07-24T04:20:33.1380730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 576 <- wrt source file
2025-07-24T04:20:33.4488970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-07-24T04:20:33.4489900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-07-24T04:20:33.4490940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-07-24T04:20:33.4492050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-07-24T04:20:33.4492880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-07-24T04:20:33.4493690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-07-24T04:20:33.4494660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-07-24T04:20:33.4495650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file
2025-07-24T04:20:33.4496470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-07-24T04:20:33.4497300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file
2025-07-24T04:20:33.4498120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-07-24T04:20:33.4498920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-07-24T04:20:33.4499720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-07-24T04:20:33.4500530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-07-24T04:20:33.4501300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-07-24T04:20:33.4502070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-07-24T04:20:33.4502830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-07-24T04:20:33.4503600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-07-24T04:20:33.4504370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-07-24T04:20:33.4505110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-07-24T04:20:33.4505820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-07-24T04:20:33.4506670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file
2025-07-24T04:20:33.4507600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-07-24T04:20:33.4508500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file
2025-07-24T04:20:33.4509260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-07-24T04:20:33.4510030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file
2025-07-24T04:20:33.4510760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-07-24T04:20:33.4511480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-07-24T04:20:33.4512270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0
2025-07-24T04:20:33.4513010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file
2025-07-24T04:20:33.4513710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0
2025-07-24T04:20:33.4514410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file
2025-07-24T04:20:33.4515110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-07-24T04:20:33.4515820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-07-24T04:20:33.4516530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-07-24T04:20:33.4517250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 206 <- wrt source file
2025-07-24T04:20:33.4517970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-07-24T04:20:33.4518680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 289 <- wrt source file
2025-07-24T04:20:33.4519390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-07-24T04:20:33.4520100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 363 <- wrt source file
2025-07-24T04:20:33.4520830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-07-24T04:20:33.4521550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 545 <- wrt source file
2025-07-24T04:20:33.4522270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-07-24T04:20:33.4522990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 636 <- wrt source file
2025-07-24T04:20:33.4523700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-07-24T04:20:33.4524420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 731 <- wrt source file
2025-07-24T04:20:33.4525130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-07-24T04:20:33.4525840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 847 <- wrt source file
2025-07-24T04:20:33.4526590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-07-24T04:20:33.4527330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 937 <- wrt source file
2025-07-24T04:20:33.4528180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-07-24T04:20:33.4528970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1024 <- wrt source file
2025-07-24T04:20:33.4547640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-07-24T04:20:33.4548430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1143 <- wrt source file
2025-07-24T04:20:33.4549170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-07-24T04:20:33.4550010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1194 <- wrt source file
2025-07-24T04:20:33.4550750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-07-24T04:20:33.4551490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1253 <- wrt source file
2025-07-24T04:20:33.4552200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-07-24T04:20:33.4552930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1308 <- wrt source file
2025-07-24T04:20:33.4553690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-07-24T04:20:33.4554450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1342 <- wrt source file
2025-07-24T04:20:33.4555220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-07-24T04:20:33.4555980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1385 <- wrt source file
2025-07-24T04:20:33.4556740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-07-24T04:20:33.4557540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1432 <- wrt source file
2025-07-24T04:20:33.4558320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-07-24T04:20:33.4559100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1463 <- wrt source file
2025-07-24T04:20:33.4559870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-07-24T04:20:33.4560760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1502 <- wrt source file
2025-07-24T04:20:33.4561570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-07-24T04:20:33.4562370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-07-24T04:20:33.4563160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-07-24T04:20:33.4563940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 78 <- wrt source file
2025-07-24T04:20:33.4564730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-07-24T04:20:33.4565490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-07-24T04:20:33.4566220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0
2025-07-24T04:20:33.4566980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 254 <- wrt source file
2025-07-24T04:20:33.4567750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-07-24T04:20:33.4568540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 277 <- wrt source file
2025-07-24T04:20:33.4569320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-07-24T04:20:33.4570090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 308 <- wrt source file
2025-07-24T04:20:33.4570860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-07-24T04:20:33.4571610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 337 <- wrt source file
2025-07-24T04:20:33.4572340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-07-24T04:20:33.4573070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 517 <- wrt source file
2025-07-24T04:20:33.4573800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-07-24T04:20:33.4574530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 647 <- wrt source file
2025-07-24T04:20:33.4575290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-07-24T04:20:33.4576040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 799 <- wrt source file
2025-07-24T04:20:33.4576780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-07-24T04:20:33.4577560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-07-24T04:20:33.4578320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-07-24T04:20:33.4579080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file
2025-07-24T04:20:33.4579880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-07-24T04:20:33.4580630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-07-24T04:20:33.4581360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-07-24T04:20:33.4582050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 212 <- wrt source file
2025-07-24T04:20:33.4582730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-07-24T04:20:33.4583440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 323 <- wrt source file
2025-07-24T04:20:33.4584160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-07-24T04:20:33.4584880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 409 <- wrt source file
2025-07-24T04:20:33.4585610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-07-24T04:20:33.4586320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 523 <- wrt source file
2025-07-24T04:20:33.4587010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-07-24T04:20:34.2369970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 602 <- wrt source file
2025-07-24T04:20:34.2370760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-07-24T04:20:34.2371500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 685 <- wrt source file
2025-07-24T04:20:34.2372230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-07-24T04:20:34.2372950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 757 <- wrt source file
2025-07-24T04:20:34.2373690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-07-24T04:20:34.2374440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 805 <- wrt source file
2025-07-24T04:20:34.2375180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-07-24T04:20:34.2375930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 951 <- wrt source file
2025-07-24T04:20:34.2376880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-07-24T04:20:34.2377620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1277 <- wrt source file
2025-07-24T04:20:34.2378420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-07-24T04:20:34.2379250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1419 <- wrt source file
2025-07-24T04:20:34.2380110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-07-24T04:20:34.2380870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1485 <- wrt source file
2025-07-24T04:20:34.2381620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-07-24T04:20:34.2382360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1565 <- wrt source file
2025-07-24T04:20:34.2383090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-07-24T04:20:34.2383820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1666 <- wrt source file
2025-07-24T04:20:34.2384570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-07-24T04:20:34.2385310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-07-24T04:20:34.2386040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-07-24T04:20:34.2386760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 114 <- wrt source file
2025-07-24T04:20:34.2387480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-07-24T04:20:34.2388200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 173 <- wrt source file
2025-07-24T04:20:34.2388920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-07-24T04:20:34.2389640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 229 <- wrt source file
2025-07-24T04:20:34.2390360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-07-24T04:20:34.2391080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 294 <- wrt source file
2025-07-24T04:20:34.2391800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-07-24T04:20:34.2392520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 322 <- wrt source file
2025-07-24T04:20:34.2393300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-07-24T04:20:34.2394020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 354 <- wrt source file
2025-07-24T04:20:34.2394770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-07-24T04:20:34.2395550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 387 <- wrt source file
2025-07-24T04:20:34.2396260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-07-24T04:20:34.2397010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 420 <- wrt source file
2025-07-24T04:20:34.2397720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-07-24T04:20:34.2398430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 459 <- wrt source file
2025-07-24T04:20:34.2399130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0
2025-07-24T04:20:34.2399850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 504 <- wrt source file
2025-07-24T04:20:34.2400570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-07-24T04:20:34.2401290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 547 <- wrt source file
2025-07-24T04:20:34.2402000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0
2025-07-24T04:20:34.2402700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 589 <- wrt source file
2025-07-24T04:20:34.2403410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0
2025-07-24T04:20:34.2404110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 642 <- wrt source file
2025-07-24T04:20:34.2404820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0
2025-07-24T04:20:34.2405530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 682 <- wrt source file
2025-07-24T04:20:34.2411370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0
2025-07-24T04:20:34.2412080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 724 <- wrt source file
2025-07-24T04:20:34.2412780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0
2025-07-24T04:20:34.2413510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 767 <- wrt source file
2025-07-24T04:20:34.2414250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-07-24T04:20:34.9273930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 816 <- wrt source file
2025-07-24T04:20:34.9274800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-07-24T04:20:34.9275580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 852 <- wrt source file
2025-07-24T04:20:34.9276770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-07-24T04:20:34.9277630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 885 <- wrt source file
2025-07-24T04:20:34.9278390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-07-24T04:20:34.9279120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 928 <- wrt source file
2025-07-24T04:20:34.9279860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-07-24T04:20:34.9280630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1036 <- wrt source file
2025-07-24T04:20:34.9281420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-07-24T04:20:34.9282180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1501 <- wrt source file
2025-07-24T04:20:34.9282920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-07-24T04:20:34.9283650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1543 <- wrt source file
2025-07-24T04:20:34.9284370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-07-24T04:20:34.9285100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1566 <- wrt source file
2025-07-24T04:20:34.9285840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-07-24T04:20:34.9286580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1601 <- wrt source file
2025-07-24T04:20:34.9287300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-07-24T04:20:34.9288020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1659 <- wrt source file
2025-07-24T04:20:34.9288760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-07-24T04:20:34.9289480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1700 <- wrt source file
2025-07-24T04:20:34.9290220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-07-24T04:20:34.9291010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1736 <- wrt source file
2025-07-24T04:20:34.9291750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-07-24T04:20:34.9292490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-07-24T04:20:34.9293290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-07-24T04:20:34.9294120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-07-24T04:20:34.9294920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-07-24T04:20:34.9295710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-07-24T04:20:34.9296500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-07-24T04:20:34.9297310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-07-24T04:20:34.9298140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-07-24T04:20:34.9298990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-07-24T04:20:34.9299810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-07-24T04:20:34.9300580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-07-24T04:20:34.9301280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-07-24T04:20:34.9302040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-07-24T04:20:34.9302830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-07-24T04:20:34.9303640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file
2025-07-24T04:20:34.9304560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-07-24T04:20:34.9305460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file
2025-07-24T04:20:34.9306380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-07-24T04:20:34.9307220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1037 <- wrt source file
2025-07-24T04:20:34.9308080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-07-24T04:20:34.9308800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1288 <- wrt source file
2025-07-24T04:20:34.9309510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0
2025-07-24T04:20:34.9310270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2224 <- wrt source file
2025-07-24T04:20:34.9311070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-07-24T04:20:34.9311900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2665 <- wrt source file
2025-07-24T04:20:34.9312790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-07-24T04:20:34.9313560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2693 <- wrt source file
2025-07-24T04:20:34.9314370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-07-24T04:20:35.5669670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2720 <- wrt source file
2025-07-24T04:20:35.5670510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-07-24T04:20:35.5671300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2747 <- wrt source file
2025-07-24T04:20:35.5672100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-07-24T04:20:35.5672900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2778 <- wrt source file
2025-07-24T04:20:35.5673700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-07-24T04:20:35.5674470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2802 <- wrt source file
2025-07-24T04:20:35.5675200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-07-24T04:20:35.5675980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2840 <- wrt source file
2025-07-24T04:20:35.5676770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-07-24T04:20:35.5677540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-07-24T04:20:35.5678280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-07-24T04:20:35.5679020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file
2025-07-24T04:20:35.5679920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-07-24T04:20:35.5680640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file
2025-07-24T04:20:35.5681350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-07-24T04:20:35.5682130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file
2025-07-24T04:20:35.5682890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-07-24T04:20:35.5683720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file
2025-07-24T04:20:35.5684460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-07-24T04:20:35.5685210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file
2025-07-24T04:20:35.5685980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-07-24T04:20:35.5686730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-07-24T04:20:35.5687460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-07-24T04:20:35.5688220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-07-24T04:20:35.5688990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-07-24T04:20:35.5689740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file
2025-07-24T04:20:35.5690470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-07-24T04:20:35.5691200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file
2025-07-24T04:20:35.5691920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-07-24T04:20:35.5692640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file
2025-07-24T04:20:35.5693380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-07-24T04:20:35.5694090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-07-24T04:20:35.5694760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-07-24T04:20:35.5695430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 950 <- wrt source file
2025-07-24T04:20:35.5696100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-07-24T04:20:35.5696800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1285 <- wrt source file
2025-07-24T04:20:35.5697470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-07-24T04:20:35.5698170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1534 <- wrt source file
2025-07-24T04:20:35.5698890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-07-24T04:20:35.5699610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1656 <- wrt source file
2025-07-24T04:20:35.5700310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-07-24T04:20:35.5700990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1770 <- wrt source file
2025-07-24T04:20:35.5701700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-07-24T04:20:35.5702450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-07-24T04:20:35.5703200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-07-24T04:20:35.5703950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-07-24T04:20:35.5704680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-07-24T04:20:35.5705420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-07-24T04:20:35.5706150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-07-24T04:20:35.5706890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-07-24T04:20:35.5707630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-07-24T04:20:35.5708360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-07-24T04:20:35.5709100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-07-24T04:20:35.5709840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file
2025-07-24T04:20:35.5710570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-07-24T04:20:35.5711310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file
2025-07-24T04:20:35.5712060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-07-24T04:20:35.5712840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file
2025-07-24T04:20:35.5713590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-07-24T04:20:35.5714330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file
2025-07-24T04:20:35.5715120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-07-24T04:20:35.5715920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-07-24T04:20:35.5716680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-07-24T04:20:35.5717440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-07-24T04:20:35.5718190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-07-24T04:20:35.5718950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file
2025-07-24T04:20:35.5719700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-07-24T04:20:35.5720440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-07-24T04:20:35.5721160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-07-24T04:20:35.5721900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 747 <- wrt source file
2025-07-24T04:20:35.5722640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-07-24T04:20:35.5723380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 806 <- wrt source file
2025-07-24T04:20:35.5724120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-07-24T04:20:35.5724850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-07-24T04:20:35.5725530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0
2025-07-24T04:20:35.5726210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 389 <- wrt source file
2025-07-24T04:20:35.5726890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-07-24T04:20:35.5727570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-07-24T04:20:35.5728260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0
2025-07-24T04:20:35.5729010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2574 <- wrt source file
2025-07-24T04:20:35.5729870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-07-24T04:20:35.5730680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2676 <- wrt source file
2025-07-24T04:20:35.5731500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-07-24T04:20:35.5732320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3143 <- wrt source file
2025-07-24T04:20:35.5733170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-07-24T04:20:35.5733980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3372 <- wrt source file
2025-07-24T04:20:35.5734780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-07-24T04:20:35.5735580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3474 <- wrt source file
2025-07-24T04:20:35.5736380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-07-24T04:20:35.5737200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3588 <- wrt source file
2025-07-24T04:20:35.5738040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-07-24T04:20:35.5738860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3711 <- wrt source file
2025-07-24T04:20:35.5739680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-07-24T04:20:35.5740500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3920 <- wrt source file
2025-07-24T04:20:35.5741340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-07-24T04:20:35.5742160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4058 <- wrt source file
2025-07-24T04:20:35.5742990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-07-24T04:20:35.5743780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4164 <- wrt source file
2025-07-24T04:20:35.5744540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-07-24T04:20:35.5745300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4249 <- wrt source file
2025-07-24T04:20:35.5746100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-07-24T04:20:35.5746900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4387 <- wrt source file
2025-07-24T04:20:35.5747750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-07-24T04:20:35.5748660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4864 <- wrt source file
2025-07-24T04:20:35.5749510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-07-24T04:20:35.5750310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5454 <- wrt source file
2025-07-24T04:20:35.5751100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-07-24T04:20:35.5751930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5548 <- wrt source file
2025-07-24T04:20:35.5752790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0
2025-07-24T04:20:35.5753600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 424 <- wrt source file
2025-07-24T04:20:35.5754350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0
2025-07-24T04:20:35.5755140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 943 <- wrt source file
2025-07-24T04:20:35.5755960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0
2025-07-24T04:20:35.5756760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1026 <- wrt source file
2025-07-24T04:20:35.5757530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0
2025-07-24T04:20:35.5758300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file
2025-07-24T04:20:35.5759060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/autograd/__init__.py::context:0
2025-07-24T04:20:35.5759880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0, line 1395 <- wrt source file
2025-07-24T04:20:35.5760750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_model_state_dict:0
2025-07-24T04:20:35.5761630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0, line 1454 <- wrt source file
2025-07-24T04:20:35.5762520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py::_patch_optimizer_state_dict:0
2025-07-24T04:20:35.5763440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0, line 50 <- wrt source file
2025-07-24T04:20:35.5764330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/barriers.py::BarrierConfig:0
2025-07-24T04:20:35.5765300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0, line 104 <- wrt source file
2025-07-24T04:20:35.5766270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer:0
2025-07-24T04:20:35.5767210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0, line 142 <- wrt source file
2025-07-24T04:20:35.5768170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::SyncCheckpointer.save:0
2025-07-24T04:20:35.5769140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0, line 213 <- wrt source file
2025-07-24T04:20:35.5770080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
2025-07-24T04:20:35.5771030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0, line 260 <- wrt source file
2025-07-24T04:20:35.5772000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer.save:0
2025-07-24T04:20:35.5772940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0, line 77 <- wrt source file
2025-07-24T04:20:35.5773860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0
2025-07-24T04:20:35.5774790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0, line 138 <- wrt source file
2025-07-24T04:20:35.5775710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_async_checkpointer:0
2025-07-24T04:20:35.5776630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0, line 209 <- wrt source file
2025-07-24T04:20:35.5777540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/staging.py::DefaultStager.close:0
2025-07-24T04:20:35.5778400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file
2025-07-24T04:20:35.5779190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0
2025-07-24T04:20:35.5780050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0, line 231 <- wrt source file
2025-07-24T04:20:35.5781030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/api.py::RendezvousHandler.shutdown:0
2025-07-24T04:20:35.5781950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/elastic/utils/distributed.py::get_free_port:0, line 141 <- wrt source file
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2025-07-24T04:20:35.5783720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/_IR.py::pipe_split:0, line 333 <- wrt source file
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2025-07-24T04:20:35.5785330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0, line 83 <- wrt source file
2025-07-24T04:20:35.5786250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-07-24T04:20:35.5787160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file
2025-07-24T04:20:35.5788060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-07-24T04:20:35.5788890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-07-24T04:20:35.5789660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-07-24T04:20:35.5790490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file
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2025-07-24T04:20:35.5792380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-07-24T04:20:35.5793400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-07-24T04:20:35.5794410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
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2025-07-24T04:20:35.5796400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file
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2025-07-24T04:20:35.5800120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file
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2025-07-24T04:20:35.5803900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file
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2025-07-24T04:20:35.5807690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
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2025-07-24T04:20:35.5809540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
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2025-07-24T04:20:35.5815030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-07-24T04:20:35.5815860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-07-24T04:20:35.5816680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-07-24T04:20:35.5817620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0
2025-07-24T04:20:35.5818450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file
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2025-07-24T04:20:35.5826110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-07-24T04:20:35.5826990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
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2025-07-24T04:20:35.5830500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 128 <- wrt source file
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2025-07-24T04:20:35.5833710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-07-24T04:20:35.5834840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1613 <- wrt source file
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2025-07-24T04:20:35.5837080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1698 <- wrt source file
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2025-07-24T04:20:35.5851570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/ddp.py::_pre_dp_module_transform:0, line 88 <- wrt source file
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2025-07-24T04:20:35.5853290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file
2025-07-24T04:20:35.5854130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0
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2025-07-24T04:20:35.5855840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0
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2025-07-24T04:20:35.5860130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0, line 56 <- wrt source file
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2025-07-24T04:20:35.5865570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::shutdown:0
2025-07-24T04:20:35.5866280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0, line 606 <- wrt source file
2025-07-24T04:20:35.5866990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0
2025-07-24T04:20:35.5867710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_sync:0, line 786 <- wrt source file
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2025-07-24T04:20:35.5869180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0, line 878 <- wrt source file
2025-07-24T04:20:35.5869920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/api.py::rpc_async:0
2025-07-24T04:20:35.5870660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-07-24T04:20:35.5871420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-07-24T04:20:35.5872180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-07-24T04:20:35.5872870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0
2025-07-24T04:20:35.5873580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file
2025-07-24T04:20:35.5874340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-07-24T04:20:35.5875110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file
2025-07-24T04:20:35.5875890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-07-24T04:20:35.5876640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 271 <- wrt source file
2025-07-24T04:20:35.5877380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-07-24T04:20:35.5878100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 341 <- wrt source file
2025-07-24T04:20:35.5878810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-07-24T04:20:35.5879540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 398 <- wrt source file
2025-07-24T04:20:35.5880330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-07-24T04:20:35.5881100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 475 <- wrt source file
2025-07-24T04:20:35.5881860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-07-24T04:20:35.5882640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 741 <- wrt source file
2025-07-24T04:20:35.5883440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-07-24T04:20:35.5884190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-07-24T04:20:35.5884910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-07-24T04:20:35.5885610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-07-24T04:20:35.5886310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-07-24T04:20:35.5887010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-07-24T04:20:35.5887700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-07-24T04:20:35.5888430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-07-24T04:20:35.5889100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0
2025-07-24T04:20:35.5889790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file
2025-07-24T04:20:35.5890550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0
2025-07-24T04:20:35.5891280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-07-24T04:20:35.5892030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0
2025-07-24T04:20:35.5892740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file
2025-07-24T04:20:35.5893460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0
2025-07-24T04:20:35.5894160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file
2025-07-24T04:20:35.5894860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0
2025-07-24T04:20:35.5895560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file
2025-07-24T04:20:35.5896260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0
2025-07-24T04:20:35.5896940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-07-24T04:20:35.5897640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-07-24T04:20:35.5898350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-07-24T04:20:35.5899070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-07-24T04:20:35.5899800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-07-24T04:20:35.5900540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-07-24T04:20:35.5901290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file
2025-07-24T04:20:35.5902030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0
2025-07-24T04:20:35.5902750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file
2025-07-24T04:20:35.5903460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0
2025-07-24T04:20:35.5904170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file
2025-07-24T04:20:35.5904900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-07-24T04:20:35.5905610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file
2025-07-24T04:20:35.5906320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-07-24T04:20:35.5907200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file
2025-07-24T04:20:35.5908050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-07-24T04:20:35.5908870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file
2025-07-24T04:20:35.5909680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-07-24T04:20:35.5910470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file
2025-07-24T04:20:35.5911250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-07-24T04:20:35.5912070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file
2025-07-24T04:20:35.5912920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-07-24T04:20:35.5913760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file
2025-07-24T04:20:35.5914590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0
2025-07-24T04:20:35.5915400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file
2025-07-24T04:20:35.5916110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/function.py::Function:0
2025-07-24T04:20:35.5916800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file
2025-07-24T04:20:35.5917470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::_snake_case:0
2025-07-24T04:20:35.5918180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1762 <- wrt source file
2025-07-24T04:20:35.5918930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-07-24T04:20:35.5919660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1856 <- wrt source file
2025-07-24T04:20:35.5920380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0
2025-07-24T04:20:35.5921100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
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2025-07-24T04:20:35.5933970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
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2025-07-24T04:20:35.5935720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
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2025-07-24T04:20:35.5937450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
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2025-07-24T04:20:35.5940960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
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2025-07-24T04:20:35.5942750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
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2025-07-24T04:20:35.5944510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
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2025-07-24T04:20:35.5946280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
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2025-07-24T04:20:35.5948010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
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2025-07-24T04:20:35.5949730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
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2025-07-24T04:20:35.5951430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
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2025-07-24T04:20:35.5959790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
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2025-07-24T04:20:35.5963040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
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2025-07-24T04:20:35.5964650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
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2025-07-24T04:20:35.5966270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
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2025-07-24T04:20:35.5976150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-07-24T04:20:35.5977140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
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2025-07-24T04:20:35.5982690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-07-24T04:20:35.5983620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-07-24T04:20:35.5984550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-07-24T04:20:35.5985470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-07-24T04:20:35.5986380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-07-24T04:20:35.5987310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-07-24T04:20:35.5988220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-07-24T04:20:35.5989120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-07-24T04:20:35.5990020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-07-24T04:20:35.5990960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-07-24T04:20:35.5991780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
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2025-07-24T04:20:35.6134370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-07-24T04:20:35.6135100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-07-24T04:20:35.6135810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-07-24T04:20:35.6136530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-07-24T04:20:35.6137250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-07-24T04:20:35.6137970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-07-24T04:20:35.6138710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-07-24T04:20:35.6139610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-07-24T04:20:35.6140340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-07-24T04:20:35.6141080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0
2025-07-24T04:20:35.6141820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-07-24T04:20:35.6142590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0
2025-07-24T04:20:35.6143320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-07-24T04:20:35.6144110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-07-24T04:20:35.6144890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file
2025-07-24T04:20:35.6145620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-07-24T04:20:35.6146380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file
2025-07-24T04:20:35.6147160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-07-24T04:20:35.6147910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file
2025-07-24T04:20:35.6148600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-07-24T04:20:35.6149310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file
2025-07-24T04:20:35.6150030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-07-24T04:20:35.6150750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file
2025-07-24T04:20:35.6151460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-07-24T04:20:35.6152170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file
2025-07-24T04:20:35.6152880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-07-24T04:20:35.6153600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file
2025-07-24T04:20:35.6154330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-07-24T04:20:35.6155060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file
2025-07-24T04:20:35.6155850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-07-24T04:20:35.6156600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file
2025-07-24T04:20:35.6157350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-07-24T04:20:35.6158160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file
2025-07-24T04:20:35.6158980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-07-24T04:20:35.6159790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1794 <- wrt source file
2025-07-24T04:20:35.6160650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-07-24T04:20:35.6161490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1810 <- wrt source file
2025-07-24T04:20:35.6167390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-07-24T04:20:35.6168190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file
2025-07-24T04:20:35.6168890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-07-24T04:20:35.6169660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3303 <- wrt source file
2025-07-24T04:20:35.6170500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-07-24T04:20:35.6171350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1464 <- wrt source file
2025-07-24T04:20:35.6172210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-07-24T04:20:35.6173030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 307 <- wrt source file
2025-07-24T04:20:35.6173760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-07-24T04:20:35.6174480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0, line 423 <- wrt source file
2025-07-24T04:20:35.6175200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0
2025-07-24T04:20:35.6175910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1030 <- wrt source file
2025-07-24T04:20:35.6176610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-07-24T04:20:35.6177300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 1349 <- wrt source file
2025-07-24T04:20:35.6178060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0
2025-07-24T04:20:35.6178790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-07-24T04:20:35.6179590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-07-24T04:20:35.6180390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file
2025-07-24T04:20:35.6181240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-07-24T04:20:35.6182060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-07-24T04:20:35.6182900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-07-24T04:20:35.6183890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file
2025-07-24T04:20:35.6184840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-07-24T04:20:35.6185700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file
2025-07-24T04:20:35.6186510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-07-24T04:20:35.6187260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-07-24T04:20:35.6187960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-07-24T04:20:35.6188660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file
2025-07-24T04:20:35.6189370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-07-24T04:20:35.6190080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file
2025-07-24T04:20:35.6190790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-07-24T04:20:35.6191510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file
2025-07-24T04:20:35.6192240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-07-24T04:20:35.6192950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file
2025-07-24T04:20:35.6193650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-07-24T04:20:35.6194420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file
2025-07-24T04:20:35.6195120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-07-24T04:20:35.6195830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file
2025-07-24T04:20:35.6196630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-07-24T04:20:35.6197410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file
2025-07-24T04:20:35.6198110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-07-24T04:20:35.6198830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 910 <- wrt source file
2025-07-24T04:20:35.6199570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-07-24T04:20:35.6200370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 718 <- wrt source file
2025-07-24T04:20:35.6201210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-07-24T04:20:35.6202040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-07-24T04:20:35.6202900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-07-24T04:20:35.6203730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-07-24T04:20:35.6204540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-07-24T04:20:35.6205370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-07-24T04:20:35.6206190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-07-24T04:20:35.6207020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-07-24T04:20:35.6207860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-07-24T04:20:35.6208700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-07-24T04:20:35.6209540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-07-24T04:20:35.6210370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-07-24T04:20:35.6211250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-07-24T04:20:35.6212090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-07-24T04:20:35.6212940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-07-24T04:20:35.6213820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-07-24T04:20:35.6214700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-07-24T04:20:35.6215570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-07-24T04:20:35.6216440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-07-24T04:20:35.6217290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-07-24T04:20:35.6218120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-07-24T04:20:35.6218950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-07-24T04:20:35.6219780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-07-24T04:20:35.6220610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-07-24T04:20:35.6221430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-07-24T04:20:35.6222280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-07-24T04:20:35.6223130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-07-24T04:20:35.6223980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-07-24T04:20:35.6224820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-07-24T04:20:35.6225720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-07-24T04:20:35.6226680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-07-24T04:20:35.6227680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-07-24T04:20:35.6228690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-07-24T04:20:35.6229600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-07-24T04:20:35.6230590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-07-24T04:20:35.6231460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-07-24T04:20:35.6232350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-07-24T04:20:35.6233140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-07-24T04:20:35.6233890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-07-24T04:20:35.6234620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-07-24T04:20:35.6235360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-07-24T04:20:35.6236090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-07-24T04:20:35.6236810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0
2025-07-24T04:20:35.6237530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-07-24T04:20:35.6238240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-07-24T04:20:35.6238990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file
2025-07-24T04:20:35.6239780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0
2025-07-24T04:20:35.6240540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 301 <- wrt source file
2025-07-24T04:20:35.6241270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/sampler.py::BatchSampler:0
2025-07-24T04:20:35.6242020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-07-24T04:20:35.6242790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-07-24T04:20:35.6243550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-07-24T04:20:35.6244310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-07-24T04:20:35.6245120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-07-24T04:20:35.6245900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-07-24T04:20:35.6246720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file
2025-07-24T04:20:35.6247590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0
2025-07-24T04:20:35.6248420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 264 <- wrt source file
2025-07-24T04:20:35.6249220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-07-24T04:20:35.6250070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file
2025-07-24T04:20:35.6250980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0
2025-07-24T04:20:35.6251860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-07-24T04:20:35.6252720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-07-24T04:20:35.6672440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 200 <- wrt source file
2025-07-24T04:20:35.6673380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-07-24T04:20:35.6674280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-07-24T04:20:35.6675190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-07-24T04:20:35.6676100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-07-24T04:20:35.6676980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-07-24T04:20:35.6677860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0, line 180 <- wrt source file
2025-07-24T04:20:35.6678720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::GrouperIterDataPipe:0
2025-07-24T04:20:35.6679590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-07-24T04:20:35.6680460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-07-24T04:20:35.6681480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-07-24T04:20:35.6682350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-07-24T04:20:35.6683220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-07-24T04:20:35.6684190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-07-24T04:20:35.6685190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 307 <- wrt source file
2025-07-24T04:20:35.6686070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-07-24T04:20:35.6686980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0, line 393 <- wrt source file
2025-07-24T04:20:35.6687930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0
2025-07-24T04:20:35.6688990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 603 <- wrt source file
2025-07-24T04:20:35.6689950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0
2025-07-24T04:20:35.6690840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 671 <- wrt source file
2025-07-24T04:20:35.6691710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0
2025-07-24T04:20:35.6692590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-07-24T04:20:35.6693490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-07-24T04:20:35.6694410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-07-24T04:20:35.6695410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-07-24T04:20:35.6696310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 88 <- wrt source file
2025-07-24T04:20:35.6697210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-07-24T04:20:35.6698130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-07-24T04:20:35.6699060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-07-24T04:20:35.6699990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-07-24T04:20:35.6700820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-07-24T04:20:35.6701680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-07-24T04:20:35.6702640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-07-24T04:20:35.6703550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-07-24T04:20:35.6704420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-07-24T04:20:35.6705280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-07-24T04:20:35.6706140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-07-24T04:20:35.6707050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-07-24T04:20:35.6707920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-07-24T04:20:35.6708790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-07-24T04:20:35.6709650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-07-24T04:20:35.6710520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
2025-07-24T04:20:35.6711410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
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2025-07-24T04:20:35.6713220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
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2025-07-24T04:20:35.6714750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0
2025-07-24T04:20:35.6715500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 614 <- wrt source file
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2025-07-24T04:20:35.6717110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 735 <- wrt source file
2025-07-24T04:20:35.6717900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-07-24T04:20:35.6718680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 824 <- wrt source file
2025-07-24T04:20:35.6719510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-07-24T04:20:35.6720400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4733 <- wrt source file
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2025-07-24T04:20:35.6722980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-07-24T04:20:35.6723840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4777 <- wrt source file
2025-07-24T04:20:35.6724690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-07-24T04:20:35.6725520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-07-24T04:20:35.6726320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-07-24T04:20:35.6727140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-07-24T04:20:35.6728030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-07-24T04:20:35.6728960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 328 <- wrt source file
2025-07-24T04:20:35.6729940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-07-24T04:20:35.6730920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-07-24T04:20:35.6731880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-07-24T04:20:35.6732730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-07-24T04:20:35.6733470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-07-24T04:20:35.6734250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file
2025-07-24T04:20:35.6734960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-07-24T04:20:35.6735720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 237 <- wrt source file
2025-07-24T04:20:35.6736690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-07-24T04:20:35.6737570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 306 <- wrt source file
2025-07-24T04:20:35.6738380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-07-24T04:20:35.6739170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 540 <- wrt source file
2025-07-24T04:20:35.6739970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-07-24T04:20:35.6740750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 712 <- wrt source file
2025-07-24T04:20:35.6741520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-07-24T04:20:35.6742300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 798 <- wrt source file
2025-07-24T04:20:35.6743170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-07-24T04:20:35.6743970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-07-24T04:20:35.6744770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-07-24T04:20:35.6745580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 197 <- wrt source file
2025-07-24T04:20:35.6746360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-07-24T04:20:35.6747080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-07-24T04:20:35.6747760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-07-24T04:20:35.6748490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-07-24T04:20:35.6749350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-07-24T04:20:35.6750140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-07-24T04:20:35.6750980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-07-24T04:20:35.6751760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file
2025-07-24T04:20:35.6752610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-07-24T04:20:35.6753440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-07-24T04:20:35.6754410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-07-24T04:20:35.6755210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file
2025-07-24T04:20:35.6755980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-07-24T04:20:35.6756750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file
2025-07-24T04:20:35.6757550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-07-24T04:20:35.6758320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file
2025-07-24T04:20:35.6759050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-07-24T04:20:35.6759780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file
2025-07-24T04:20:35.6760550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-07-24T04:20:35.6761310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file
2025-07-24T04:20:35.6762050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-07-24T04:20:35.6762780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-07-24T04:20:35.6763540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-07-24T04:20:35.6764290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-07-24T04:20:35.6765130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-07-24T04:20:35.6765950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-07-24T04:20:35.6766750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-07-24T04:20:35.6767550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-07-24T04:20:35.6768350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-07-24T04:20:35.6769140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-07-24T04:20:35.6769940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-07-24T04:20:35.6770780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file
2025-07-24T04:20:35.6771600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-07-24T04:20:35.6772440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file
2025-07-24T04:20:35.6773260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-07-24T04:20:35.6774090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file
2025-07-24T04:20:35.6774920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-07-24T04:20:35.6775740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file
2025-07-24T04:20:35.6776690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-07-24T04:20:35.6777540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file
2025-07-24T04:20:35.6778330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-07-24T04:20:35.6779120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file
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2025-07-24T04:20:35.6781410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-07-24T04:20:35.6782190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file
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2025-07-24T04:20:35.6783840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file
2025-07-24T04:20:35.6784650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-07-24T04:20:35.6785540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-07-24T04:20:35.6786480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-07-24T04:20:35.6787380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-07-24T04:20:35.6788250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-07-24T04:20:35.6789080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-07-24T04:20:35.6789840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-07-24T04:20:35.6790600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-07-24T04:20:35.6791360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-07-24T04:20:35.6792110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-07-24T04:20:35.6792880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-07-24T04:20:35.6808780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file
2025-07-24T04:20:35.6809650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-07-24T04:20:35.6810470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file
2025-07-24T04:20:35.6811320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-07-24T04:20:35.6812160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file
2025-07-24T04:20:35.6813000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-07-24T04:20:35.6813840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file
2025-07-24T04:20:35.6814680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-07-24T04:20:35.6815530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-07-24T04:20:35.6816510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-07-24T04:20:35.6817350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-07-24T04:20:35.6818190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-07-24T04:20:35.6819080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-07-24T04:20:35.6819880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-07-24T04:20:35.6820650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-07-24T04:20:35.6821400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-07-24T04:20:35.6822190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file
2025-07-24T04:20:35.6823040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-07-24T04:20:35.6823930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-07-24T04:20:35.6824860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-07-24T04:20:35.6825760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-07-24T04:20:35.6826640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-07-24T04:20:35.6827540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-07-24T04:20:35.6828440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-07-24T04:20:35.6829340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-07-24T04:20:35.6830230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-07-24T04:20:35.6831100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-07-24T04:20:35.6831880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-07-24T04:20:35.6832810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-07-24T04:20:35.6833630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-07-24T04:20:35.6834480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-07-24T04:20:35.6835290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-07-24T04:20:35.6836120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file
2025-07-24T04:20:35.6836940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-07-24T04:20:35.6837760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file
2025-07-24T04:20:35.6838550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-07-24T04:20:35.6839330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file
2025-07-24T04:20:35.6840110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-07-24T04:20:35.6840890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file
2025-07-24T04:20:35.6841680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-07-24T04:20:35.6842480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file
2025-07-24T04:20:35.6843280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-07-24T04:20:35.6844080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file
2025-07-24T04:20:35.6844870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-07-24T04:20:35.6845690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-07-24T04:20:35.6846520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-07-24T04:20:35.6847360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-07-24T04:20:35.6848210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-07-24T04:20:35.6849060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-07-24T04:20:35.6849940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-07-24T04:20:35.6850850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-07-24T04:20:35.6851730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-07-24T04:20:35.6852560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-07-24T04:20:35.6853420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-07-24T04:20:35.6854250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-07-24T04:20:35.6855060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-07-24T04:20:35.6855860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-07-24T04:20:35.6856650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-07-24T04:20:35.6857420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-07-24T04:20:35.6858170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-07-24T04:20:35.6858930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-07-24T04:20:35.6859700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-07-24T04:20:35.6860480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-07-24T04:20:35.6861270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-07-24T04:20:35.6862040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-07-24T04:20:35.6862810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-07-24T04:20:35.6863610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-07-24T04:20:35.6864450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-07-24T04:20:35.6865310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-07-24T04:20:35.6866210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-07-24T04:20:35.6867110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-07-24T04:20:35.6868060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-07-24T04:20:35.6868990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file
2025-07-24T04:20:35.6869940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-07-24T04:20:35.6870890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-07-24T04:20:35.6871760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-07-24T04:20:35.6872630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-07-24T04:20:35.6873490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-07-24T04:20:35.6874340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-07-24T04:20:35.6875320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-07-24T04:20:35.6876180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-07-24T04:20:35.6877020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-07-24T04:20:35.6877910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-07-24T04:20:35.6878860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-07-24T04:20:35.6879740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-07-24T04:20:35.6880520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-07-24T04:20:35.6881430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file
2025-07-24T04:20:35.6882320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-07-24T04:20:35.6883100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file
2025-07-24T04:20:35.6883780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0
2025-07-24T04:20:35.6884510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file
2025-07-24T04:20:35.6885350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-07-24T04:20:35.6886180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-07-24T04:20:35.6886920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-07-24T04:20:35.6887690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-07-24T04:20:35.6888480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-07-24T04:20:35.6889290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-07-24T04:20:35.6890100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-07-24T04:20:35.6891010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-07-24T04:20:35.6891860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-07-24T04:20:35.6892660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-07-24T04:20:35.6893490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-07-24T04:20:35.6894270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-07-24T04:20:35.6895020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0
2025-07-24T04:20:35.6895800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-07-24T04:20:35.6896590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0
2025-07-24T04:20:35.6897390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-07-24T04:20:35.6898190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-07-24T04:20:35.6899000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-07-24T04:20:35.6899820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-07-24T04:20:35.6900710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-07-24T04:20:35.6901650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-07-24T04:20:35.6902540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-07-24T04:20:35.6903720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-07-24T04:20:35.6906080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-07-24T04:20:35.6908610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-07-24T04:20:35.6910870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-07-24T04:20:35.6912280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0
2025-07-24T04:20:35.6913160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-07-24T04:20:35.6914030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-07-24T04:20:35.6914840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-07-24T04:20:35.6915640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0
2025-07-24T04:20:35.6916390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-07-24T04:20:35.6917150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0
2025-07-24T04:20:35.6917950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-07-24T04:20:35.6918810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-07-24T04:20:35.6919600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-07-24T04:20:35.6920310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0
2025-07-24T04:20:35.6921040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-07-24T04:20:35.6921770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0
2025-07-24T04:20:35.6922470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-07-24T04:20:35.6923160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0
2025-07-24T04:20:35.6923890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-07-24T04:20:35.6924660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-07-24T04:20:35.6925500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-07-24T04:20:35.6926260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-07-24T04:20:35.6927050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-07-24T04:20:35.6927850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-07-24T04:20:35.6928650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-07-24T04:20:35.6929420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-07-24T04:20:35.6930190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-07-24T04:20:35.6930950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0
2025-07-24T04:20:35.6931720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-07-24T04:20:35.6932480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-07-24T04:20:35.6933250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-07-24T04:20:35.6934020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0
2025-07-24T04:20:35.6934760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-07-24T04:20:35.6935480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0
2025-07-24T04:20:35.6936190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-07-24T04:20:35.6936900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-07-24T04:20:35.6937630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-07-24T04:20:35.6938370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-07-24T04:20:35.6939110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-07-24T04:20:35.6939850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-07-24T04:20:35.6940600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-07-24T04:20:35.6941350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-07-24T04:20:35.6942270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-07-24T04:20:35.6943170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-07-24T04:20:35.6944170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-07-24T04:20:35.6945050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-07-24T04:20:35.6945870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-07-24T04:20:35.6946650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-07-24T04:20:35.6947440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-07-24T04:20:35.6948250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-07-24T04:20:35.6949020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-07-24T04:20:35.6949740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0
2025-07-24T04:20:35.6950490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-07-24T04:20:35.6951260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-07-24T04:20:35.6952060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-07-24T04:20:35.6952910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-07-24T04:20:35.6953760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-07-24T04:20:35.6968860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-07-24T04:20:35.6969800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-07-24T04:20:35.6970600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0
2025-07-24T04:20:35.6971380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-07-24T04:20:35.6972120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0
2025-07-24T04:20:35.6972830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-07-24T04:20:35.6973680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0
2025-07-24T04:20:35.6974410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-07-24T04:20:35.6975160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0
2025-07-24T04:20:35.6975940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-07-24T04:20:35.6976710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-07-24T04:20:35.6977330Z ============
2025-07-24T04:20:35.6977500Z Finished doctests
2025-07-24T04:20:35.6977630Z 342 / 720 passed
2025-07-24T04:20:35.6977770Z 
2025-07-24T04:20:35.6977960Z === Found 136 parse-time warnings ===
2025-07-24T04:20:35.6978210Z --- Parse Warning: 1 / 136 ---
2025-07-24T04:20:35.6979000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=392.
2025-07-24T04:20:35.6979860Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.6980230Z     Registers the function implementation as the fallback for the given key.
2025-07-24T04:20:35.6980480Z     
2025-07-24T04:20:35.6980680Z             This function only works for a library with global namespace ("_").
2025-07-24T04:20:35.6980930Z     
2025-07-24T04:20:35.6981040Z             Args:
2025-07-24T04:20:35.6981300Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-07-24T04:20:35.6981600Z                     to register a fallthrough.
2025-07-24T04:20:35.6983050Z Running test_autoload_disable 1/1 ... [2025-07-24 04:20:35.693865]
2025-07-24T04:20:35.6983440Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-07-24T04:20:35.6983810Z                               the dispatch key that the library was created with.
2025-07-24T04:20:35.6984210Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-07-24T04:20:35.6984700Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-07-24T04:20:35.6985010Z     
2025-07-24T04:20:35.6985130Z             Example::
2025-07-24T04:20:35.6985260Z     
2025-07-24T04:20:35.6985400Z                 >>> my_lib = Library("_", "IMPL")
2025-07-24T04:20:35.6985650Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-07-24T04:20:35.6986040Z                 >>>     # Handle all autocast ops generically
2025-07-24T04:20:35.6986250Z                 >>>     # ...
2025-07-24T04:20:35.6986450Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-07-24T04:20:35.6986650Z             
2025-07-24T04:20:35.6987110Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-07-24T04:20:35.6987600Z     
2025-07-24T04:20:35.6987740Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-07-24T04:20:35.6987940Z     ^
2025-07-24T04:20:35.6988060Z       warnings.warn(msg)
2025-07-24T04:20:35.6988210Z     
2025-07-24T04:20:35.6988380Z --- Parse Warning: 2 / 136 ---
2025-07-24T04:20:35.6989170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=954.
2025-07-24T04:20:35.6990070Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.6990440Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-07-24T04:20:35.6990700Z     
2025-07-24T04:20:35.6990880Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-07-24T04:20:35.6991140Z     
2025-07-24T04:20:35.6991350Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-07-24T04:20:35.6991730Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-07-24T04:20:35.6992080Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-07-24T04:20:35.6992440Z         what the properties of the output Tensors are.
2025-07-24T04:20:35.6992630Z     
2025-07-24T04:20:35.6992840Z         The FakeTensor implementation has the same signature as the operator.
2025-07-24T04:20:35.6993180Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-07-24T04:20:35.6993500Z         implementation, assume that all Tensor inputs to the operator are
2025-07-24T04:20:35.6993830Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-07-24T04:20:35.6994150Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-07-24T04:20:35.6994500Z         The FakeTensor implementation must consist of only PyTorch operations
2025-07-24T04:20:35.6994850Z         (and may not directly access the storage or data of any input or
2025-07-24T04:20:35.6995110Z         intermediate Tensors).
2025-07-24T04:20:35.6995280Z     
2025-07-24T04:20:35.6995440Z         This API may be used as a decorator (see examples).
2025-07-24T04:20:35.6995660Z     
2025-07-24T04:20:35.6995820Z         For a detailed guide on custom ops, please see
2025-07-24T04:20:35.6996140Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-07-24T04:20:35.6996410Z     
2025-07-24T04:20:35.6996530Z         Args:
2025-07-24T04:20:35.6996760Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-07-24T04:20:35.6997060Z             func: Fake tensor implementation.
2025-07-24T04:20:35.6997350Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-07-24T04:20:35.6997680Z             allow_override: Flag controlling if we want to override an
2025-07-24T04:20:35.6998000Z                             existing registered fake impl. This is by default off,
2025-07-24T04:20:35.6998320Z                             and will error you're trying to register a fake impl to
2025-07-24T04:20:35.6998630Z                             an operator that already has a fake impl. This also only
2025-07-24T04:20:35.6998940Z                             applies if the custom operator was not created via
2025-07-24T04:20:35.6999250Z                             torch.library.custom_op, as overriding and existing fake
2025-07-24T04:20:35.6999520Z                             impl is already allowed.
2025-07-24T04:20:35.6999710Z     
2025-07-24T04:20:35.6999830Z         Examples:
2025-07-24T04:20:35.6999990Z             >>> import torch
2025-07-24T04:20:35.7000160Z             >>> import numpy as np
2025-07-24T04:20:35.7000360Z             >>> from torch import Tensor
2025-07-24T04:20:35.7000540Z             >>>
2025-07-24T04:20:35.7000750Z             >>> # Example 1: an operator without data-dependent output shape
2025-07-24T04:20:35.7001100Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-07-24T04:20:35.7001440Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-07-24T04:20:35.7001760Z             >>>     raise NotImplementedError("Implementation goes here")
2025-07-24T04:20:35.7002000Z             >>>
2025-07-24T04:20:35.7002200Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-07-24T04:20:35.7002490Z             >>> def _(x, weight, bias):
2025-07-24T04:20:35.7002690Z             >>>     assert x.dim() == 2
2025-07-24T04:20:35.7002900Z             >>>     assert weight.dim() == 2
2025-07-24T04:20:35.7003110Z             >>>     assert bias.dim() == 1
2025-07-24T04:20:35.7003330Z             >>>     assert x.shape[1] == weight.shape[1]
2025-07-24T04:20:35.7003560Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-07-24T04:20:35.7003820Z             >>>     assert x.device == weight.device
2025-07-24T04:20:35.7004020Z             >>>
2025-07-24T04:20:35.7004180Z             >>>     return (x @ weight.t()) + bias
2025-07-24T04:20:35.7004420Z             >>>
2025-07-24T04:20:35.7004630Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-07-24T04:20:35.7004870Z             >>>     x = torch.randn(2, 3)
2025-07-24T04:20:35.7005090Z             >>>     w = torch.randn(3, 3)
2025-07-24T04:20:35.7005300Z             >>>     b = torch.randn(3)
2025-07-24T04:20:35.7005530Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-07-24T04:20:35.7005750Z             >>>
2025-07-24T04:20:35.7005890Z             >>> assert y.shape == (2, 3)
2025-07-24T04:20:35.7006080Z             >>>
2025-07-24T04:20:35.7006280Z             >>> # Example 2: an operator with data-dependent output shape
2025-07-24T04:20:35.7006610Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-07-24T04:20:35.7006900Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-07-24T04:20:35.7007130Z             >>>     x_np = x.numpy(force=True)
2025-07-24T04:20:35.7007370Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-07-24T04:20:35.7007630Z             >>>     return torch.tensor(res, device=x.device)
2025-07-24T04:20:35.7007850Z             >>>
2025-07-24T04:20:35.7008050Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-07-24T04:20:35.7008300Z             >>> def _(x):
2025-07-24T04:20:35.7008500Z             >>> # Number of nonzero-elements is data-dependent.
2025-07-24T04:20:35.7008800Z             >>> # Since we cannot peek at the data in an fake impl,
2025-07-24T04:20:35.7009090Z             >>> # we use the ctx object to construct a new symint that
2025-07-24T04:20:35.7009350Z             >>> # represents the data-dependent size.
2025-07-24T04:20:35.7009570Z             >>>     ctx = torch.library.get_ctx()
2025-07-24T04:20:35.7009780Z             >>>     nnz = ctx.new_dynamic_size()
2025-07-24T04:20:35.7009970Z             >>>     shape = [nnz, x.dim()]
2025-07-24T04:20:35.7010200Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-07-24T04:20:35.7010410Z             >>>     return result
2025-07-24T04:20:35.7010570Z             >>>
2025-07-24T04:20:35.7010760Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-07-24T04:20:35.7010980Z             >>>
2025-07-24T04:20:35.7011130Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-07-24T04:20:35.7011420Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-07-24T04:20:35.7011710Z             >>> trace.print_readable()
2025-07-24T04:20:35.7011880Z             >>>
2025-07-24T04:20:35.7012090Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-07-24T04:20:35.7012360Z     
2025-07-24T04:20:35.7012470Z         
2025-07-24T04:20:35.7012890Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-07-24T04:20:35.7013340Z     
2025-07-24T04:20:35.7013450Z     _._ = None
2025-07-24T04:20:35.7013580Z     ^
2025-07-24T04:20:35.7013700Z       warnings.warn(msg)
2025-07-24T04:20:35.7013840Z     
2025-07-24T04:20:35.7014020Z --- Parse Warning: 3 / 136 ---
2025-07-24T04:20:35.7014840Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=1089.
2025-07-24T04:20:35.7015760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7016090Z     Register a backward formula for this custom op.
2025-07-24T04:20:35.7016290Z     
2025-07-24T04:20:35.7016490Z         In order for an operator to work with autograd, you need to register
2025-07-24T04:20:35.7016820Z         a backward formula:
2025-07-24T04:20:35.7017060Z         1. You must tell us how to compute gradients during the backward pass
2025-07-24T04:20:35.7017340Z         by providing us a "backward" function.
2025-07-24T04:20:35.7017610Z         2. If you need any values from the forward to compute gradients, you can
2025-07-24T04:20:35.7017930Z         use `setup_context` to save values for backward.
2025-07-24T04:20:35.7018140Z     
2025-07-24T04:20:35.7018340Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-07-24T04:20:35.7018670Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-07-24T04:20:35.7018930Z         the number of outputs of the operator.
2025-07-24T04:20:35.7019210Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-07-24T04:20:35.7019570Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-07-24T04:20:35.7019880Z         same as :meth:`torch.autograd.Function.backward`.
2025-07-24T04:20:35.7020110Z     
2025-07-24T04:20:35.7020250Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-07-24T04:20:35.7020400Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-07-24T04:20:35.7020550Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-07-24T04:20:35.7020670Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-07-24T04:20:35.7020810Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-07-24T04:20:35.7020940Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-07-24T04:20:35.7020990Z     
2025-07-24T04:20:35.7021120Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-07-24T04:20:35.7021260Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-07-24T04:20:35.7021410Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-07-24T04:20:35.7021550Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-07-24T04:20:35.7021600Z     
2025-07-24T04:20:35.7021750Z         If you need different autograd behavior on different devices, then we
2025-07-24T04:20:35.7021890Z         recommend creating two different custom operators, one for each device
2025-07-24T04:20:35.7022020Z         that needs different behavior, and switching between them at runtime.
2025-07-24T04:20:35.7022070Z     
2025-07-24T04:20:35.7022110Z         Examples:
2025-07-24T04:20:35.7022170Z             >>> import torch
2025-07-24T04:20:35.7022220Z             >>> import numpy as np
2025-07-24T04:20:35.7022290Z             >>> from torch import Tensor
2025-07-24T04:20:35.7022330Z             >>>
2025-07-24T04:20:35.7022460Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-07-24T04:20:35.7022530Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-07-24T04:20:35.7022600Z             >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:35.7022660Z             >>>     y_np = np.sin(x_np)
2025-07-24T04:20:35.7022760Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-07-24T04:20:35.7022800Z             >>>
2025-07-24T04:20:35.7022900Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-07-24T04:20:35.7022950Z             >>>     x, = inputs
2025-07-24T04:20:35.7023040Z             >>>     ctx.save_for_backward(x)
2025-07-24T04:20:35.7023080Z             >>>
2025-07-24T04:20:35.7023140Z             >>> def backward(ctx, grad):
2025-07-24T04:20:35.7023210Z             >>>     x, = ctx.saved_tensors
2025-07-24T04:20:35.7023270Z             >>>     return grad * x.cos()
2025-07-24T04:20:35.7023320Z             >>>
2025-07-24T04:20:35.7023400Z             >>> torch.library.register_autograd(
2025-07-24T04:20:35.7023530Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-07-24T04:20:35.7023600Z             ... )
2025-07-24T04:20:35.7023640Z             >>>
2025-07-24T04:20:35.7023730Z             >>> x = torch.randn(3, requires_grad=True)
2025-07-24T04:20:35.7023940Z             >>> y = numpy_sin(x)
2025-07-24T04:20:35.7024050Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-07-24T04:20:35.7024180Z             >>> assert torch.allclose(grad_x, x.cos())
2025-07-24T04:20:35.7024230Z             >>>
2025-07-24T04:20:35.7024310Z             >>> # Example with a keyword-only arg
2025-07-24T04:20:35.7024440Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-07-24T04:20:35.7024550Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-07-24T04:20:35.7024610Z             >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:35.7024670Z             >>>     y_np = x_np * val
2025-07-24T04:20:35.7024780Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-07-24T04:20:35.7024820Z             >>>
2025-07-24T04:20:35.7024970Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-07-24T04:20:35.7025050Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-07-24T04:20:35.7025100Z             >>>
2025-07-24T04:20:35.7025160Z             >>> def backward(ctx, grad):
2025-07-24T04:20:35.7025220Z             >>>     return grad * ctx.val
2025-07-24T04:20:35.7025270Z             >>>
2025-07-24T04:20:35.7025350Z             >>> torch.library.register_autograd(
2025-07-24T04:20:35.7025480Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-07-24T04:20:35.7025520Z             ... )
2025-07-24T04:20:35.7025570Z             >>>
2025-07-24T04:20:35.7025660Z             >>> x = torch.randn(3, requires_grad=True)
2025-07-24T04:20:35.7025730Z             >>> y = numpy_mul(x, val=3.14)
2025-07-24T04:20:35.7025920Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-07-24T04:20:35.7026090Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-07-24T04:20:35.7026130Z     
2025-07-24T04:20:35.7026190Z         
2025-07-24T04:20:35.7026360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7026400Z     
2025-07-24T04:20:35.7026470Z       warnings.warn(msg)
2025-07-24T04:20:35.7026520Z     
2025-07-24T04:20:35.7026650Z --- Parse Warning: 4 / 136 ---
2025-07-24T04:20:35.7027280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py line=1503.
2025-07-24T04:20:35.7027480Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7027620Z     Given an operator and some sample arguments, tests if the operator is
2025-07-24T04:20:35.7027690Z         registered correctly.
2025-07-24T04:20:35.7027730Z     
2025-07-24T04:20:35.7027880Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-07-24T04:20:35.7028040Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-07-24T04:20:35.7028190Z         and these APIs require that the functions you pass them satisfy certain
2025-07-24T04:20:35.7028330Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-07-24T04:20:35.7028510Z         ``opcheck`` tests these metadata and properties.
2025-07-24T04:20:35.7028560Z     
2025-07-24T04:20:35.7028640Z         Concretely, we test the following:
2025-07-24T04:20:35.7028680Z     
2025-07-24T04:20:35.7028800Z         - test_schema: If the schema matches the implementation of
2025-07-24T04:20:35.7028960Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-07-24T04:20:35.7029090Z           then we check the implementation mutates the Tensor. If the schema
2025-07-24T04:20:35.7029270Z           specifies that we return a new Tensor, then we check that the
2025-07-24T04:20:35.7029440Z           implementation returns a new Tensor (instead of an existing one or
2025-07-24T04:20:35.7029540Z           a view of an existing one).
2025-07-24T04:20:35.7029660Z         - test_autograd_registration: If the operator supports training
2025-07-24T04:20:35.7029840Z           (autograd): we check that its autograd formula is registered via
2025-07-24T04:20:35.7029980Z           torch.library.register_autograd or a manual registration to one
2025-07-24T04:20:35.7030150Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-07-24T04:20:35.7030240Z           registrations may lead to undefined behavior.
2025-07-24T04:20:35.7030360Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-07-24T04:20:35.7030480Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-07-24T04:20:35.7030630Z           but not sufficient) for the operator to work with PyTorch compilation
2025-07-24T04:20:35.7030760Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-07-24T04:20:35.7030900Z           (also sometimes known as a meta kernel) was registered for the
2025-07-24T04:20:35.7031010Z           operator and that it is correct. This test takes the result of
2025-07-24T04:20:35.7031140Z           running the operator on real tensors and the result of running
2025-07-24T04:20:35.7031260Z           the operator on FakeTensors and checks that they have the same
2025-07-24T04:20:35.7031350Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-07-24T04:20:35.7031490Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-07-24T04:20:35.7031600Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-07-24T04:20:35.7031740Z           This checks that the outputs (and gradients, if applicable) are the
2025-07-24T04:20:35.7031880Z           same under eager-mode PyTorch and torch.compile.
2025-07-24T04:20:35.7032020Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-07-24T04:20:35.7032120Z           other things it tests are that the operator supports
2025-07-24T04:20:35.7032260Z           functionalization and that the backward pass (if it exists) also
2025-07-24T04:20:35.7032360Z           supports FakeTensor and functionalization.
2025-07-24T04:20:35.7032420Z     
2025-07-24T04:20:35.7032540Z         For best results, please call ``opcheck`` multiple times with a
2025-07-24T04:20:35.7032670Z         representative set of inputs. If your operator supports
2025-07-24T04:20:35.7032820Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-07-24T04:20:35.7032970Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-07-24T04:20:35.7033070Z         use ``opcheck`` with inputs on all supported devices.
2025-07-24T04:20:35.7033130Z     
2025-07-24T04:20:35.7033180Z         Args:
2025-07-24T04:20:35.7033290Z             op: The operator. Must either be a function decorated with
2025-07-24T04:20:35.7033440Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-07-24T04:20:35.7033590Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-07-24T04:20:35.7033670Z             args: The args to the operator
2025-07-24T04:20:35.7033740Z             kwargs: The kwargs to the operator
2025-07-24T04:20:35.7033890Z             test_utils: Tests that we should run. Default: all of them.
2025-07-24T04:20:35.7033990Z                 Example: ("test_schema", "test_faketensor")
2025-07-24T04:20:35.7034120Z             raise_exception: If we should raise an exception on the first
2025-07-24T04:20:35.7034230Z                 error. If False, we will return a dict with information
2025-07-24T04:20:35.7034330Z                 on if each test passed or not.
2025-07-24T04:20:35.7034490Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-07-24T04:20:35.7034610Z                 If specified ``atol`` must also be specified.
2025-07-24T04:20:35.7034760Z                 If omitted, default values based on the ``dtype`` are selected
2025-07-24T04:20:35.7034890Z                 (see the table in :func:`torch.testing.assert_close`).
2025-07-24T04:20:35.7035060Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-07-24T04:20:35.7035170Z                 If specified ``rtol`` must also be specified.
2025-07-24T04:20:35.7035290Z                 If omitted, default values based on the ``dtype`` are selected
2025-07-24T04:20:35.7035410Z                 (see the table in :func:`torch.testing.assert_close`).
2025-07-24T04:20:35.7035470Z     
2025-07-24T04:20:35.7035520Z         .. warning::
2025-07-24T04:20:35.7035570Z     
2025-07-24T04:20:35.7035720Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-07-24T04:20:35.7035880Z             opcheck tests if your usage of torch.library APIs is correct while
2025-07-24T04:20:35.7036010Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-07-24T04:20:35.7036160Z             mathematically correct. Use both to test custom ops that support
2025-07-24T04:20:35.7036230Z             gradient computation.
2025-07-24T04:20:35.7036280Z     
2025-07-24T04:20:35.7036320Z         Example:
2025-07-24T04:20:35.7036380Z     
2025-07-24T04:20:35.7036470Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7036620Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-07-24T04:20:35.7036710Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-07-24T04:20:35.7036800Z             >>>     x_np = x.numpy(force=True)
2025-07-24T04:20:35.7036860Z             >>>     z_np = x_np * y
2025-07-24T04:20:35.7036960Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-07-24T04:20:35.7037000Z             >>>
2025-07-24T04:20:35.7037070Z             >>> @numpy_mul.register_fake
2025-07-24T04:20:35.7037140Z             >>> def _(x, y):
2025-07-24T04:20:35.7037210Z             >>>     return torch.empty_like(x)
2025-07-24T04:20:35.7037280Z             >>>
2025-07-24T04:20:35.7037370Z             >>> def setup_context(ctx, inputs, output):
2025-07-24T04:20:35.7037430Z             >>>     y, = inputs
2025-07-24T04:20:35.7037480Z             >>>     ctx.y = y
2025-07-24T04:20:35.7037540Z             >>>
2025-07-24T04:20:35.7037620Z             >>> def backward(ctx, grad):
2025-07-24T04:20:35.7037700Z             >>>     return grad * ctx.y, None
2025-07-24T04:20:35.7037740Z             >>>
2025-07-24T04:20:35.7037890Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-07-24T04:20:35.7037940Z             >>>
2025-07-24T04:20:35.7038000Z             >>> sample_inputs = [
2025-07-24T04:20:35.7038070Z             >>>     (torch.randn(3), 3.14),
2025-07-24T04:20:35.7038160Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-07-24T04:20:35.7038270Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-07-24T04:20:35.7038400Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-07-24T04:20:35.7038450Z             >>> ]
2025-07-24T04:20:35.7038500Z             >>>
2025-07-24T04:20:35.7038580Z             >>> for args in sample_inputs:
2025-07-24T04:20:35.7038670Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-07-24T04:20:35.7038800Z     
2025-07-24T04:20:35.7045070Z         
2025-07-24T04:20:35.7045250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7045290Z     
2025-07-24T04:20:35.7045350Z       warnings.warn(msg)
2025-07-24T04:20:35.7045390Z     
2025-07-24T04:20:35.7045560Z --- Parse Warning: 5 / 136 ---
2025-07-24T04:20:35.7046220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-07-24T04:20:35.7046530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7046590Z     
2025-07-24T04:20:35.7046670Z     dim_order(ambiguity_check=False) -> tuple
2025-07-24T04:20:35.7046740Z     
2025-07-24T04:20:35.7046920Z     Returns the uniquely determined tuple of int describing the dim order or
2025-07-24T04:20:35.7046990Z     physical layout of :attr:`self`.
2025-07-24T04:20:35.7047040Z     
2025-07-24T04:20:35.7047210Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-07-24T04:20:35.7047320Z     starting from the outermost to the innermost dimension.
2025-07-24T04:20:35.7047370Z     
2025-07-24T04:20:35.7047490Z     Note that the dim order may not always be uniquely determined.
2025-07-24T04:20:35.7047740Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-07-24T04:20:35.7047990Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-07-24T04:20:35.7048170Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-07-24T04:20:35.7048390Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-07-24T04:20:35.7048460Z     Otherwise, it will raise TypeError.
2025-07-24T04:20:35.7048500Z     
2025-07-24T04:20:35.7048540Z     Args:
2025-07-24T04:20:35.7048740Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-07-24T04:20:35.7048790Z     
2025-07-24T04:20:35.7048860Z     Examples::
2025-07-24T04:20:35.7048900Z     
2025-07-24T04:20:35.7048980Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-07-24T04:20:35.7049020Z         (0, 1, 2, 3)
2025-07-24T04:20:35.7049130Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-07-24T04:20:35.7049170Z         (0, 2, 1, 3)
2025-07-24T04:20:35.7049300Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-07-24T04:20:35.7049350Z         (0, 2, 3, 1)
2025-07-24T04:20:35.7049420Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-07-24T04:20:35.7049460Z         (0, 1, 2, 3)
2025-07-24T04:20:35.7049510Z         >>> try:
2025-07-24T04:20:35.7049610Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-07-24T04:20:35.7049680Z         ... except RuntimeError as e:
2025-07-24T04:20:35.7049730Z         ...     print(e)
2025-07-24T04:20:35.7049920Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-07-24T04:20:35.7049990Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-07-24T04:20:35.7050120Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-07-24T04:20:35.7050210Z         ... )  # It can be mapped to contiguous format
2025-07-24T04:20:35.7050250Z         (0, 1, 2, 3)
2025-07-24T04:20:35.7050300Z         >>> try:
2025-07-24T04:20:35.7050410Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-07-24T04:20:35.7050470Z         ... except TypeError as e:
2025-07-24T04:20:35.7050520Z         ...     print(e)
2025-07-24T04:20:35.7050670Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-07-24T04:20:35.7050730Z     
2025-07-24T04:20:35.7050780Z     .. warning::
2025-07-24T04:20:35.7050910Z         The dim_order tensor API is experimental and subject to change.
2025-07-24T04:20:35.7050950Z     
2025-07-24T04:20:35.7051100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7051140Z     
2025-07-24T04:20:35.7051200Z       warnings.warn(msg)
2025-07-24T04:20:35.7051240Z     
2025-07-24T04:20:35.7051370Z --- Parse Warning: 6 / 136 ---
2025-07-24T04:20:35.7052010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=560.
2025-07-24T04:20:35.7052190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7052240Z     
2025-07-24T04:20:35.7052340Z     Load a model from a github repo or a local directory.
2025-07-24T04:20:35.7052380Z     
2025-07-24T04:20:35.7052520Z     Note: Loading a model is the typical use case, but this can also be used to
2025-07-24T04:20:35.7052650Z     for loading other objects such as tokenizers, loss functions, etc.
2025-07-24T04:20:35.7052690Z     
2025-07-24T04:20:35.7052800Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-07-24T04:20:35.7052900Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-07-24T04:20:35.7052960Z     ref (a tag or a branch).
2025-07-24T04:20:35.7053000Z     
2025-07-24T04:20:35.7053110Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-07-24T04:20:35.7053170Z     path to a local directory.
2025-07-24T04:20:35.7053210Z     
2025-07-24T04:20:35.7053250Z     Args:
2025-07-24T04:20:35.7053340Z         repo_or_dir (str): If ``source`` is 'github',
2025-07-24T04:20:35.7053520Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-07-24T04:20:35.7053710Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-07-24T04:20:35.7053870Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-07-24T04:20:35.7054010Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-07-24T04:20:35.7054120Z         model (str): the name of a callable (entrypoint) defined in the
2025-07-24T04:20:35.7054190Z             repo/dir's ``hubconf.py``.
2025-07-24T04:20:35.7054310Z         *args (optional): the corresponding args for callable ``model``.
2025-07-24T04:20:35.7054430Z         source (str, optional): 'github' or 'local'. Specifies how
2025-07-24T04:20:35.7054530Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-07-24T04:20:35.7054670Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-07-24T04:20:35.7054810Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-07-24T04:20:35.7054900Z             only run code from repos that they trust.
2025-07-24T04:20:35.7054940Z     
2025-07-24T04:20:35.7055060Z             - If ``False``, a prompt will ask the user whether the repo should
2025-07-24T04:20:35.7055110Z               be trusted.
2025-07-24T04:20:35.7055230Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-07-24T04:20:35.7055310Z               without requiring explicit confirmation.
2025-07-24T04:20:35.7055420Z             - If ``"check"``, the repo will be checked against the list of
2025-07-24T04:20:35.7055550Z               trusted repos in the cache. If it is not present in that list, the
2025-07-24T04:20:35.7055670Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-07-24T04:20:35.7055780Z             - If ``None``: this will raise a warning, inviting the user to set
2025-07-24T04:20:35.7055900Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-07-24T04:20:35.7056070Z               is only present for backward compatibility and will be removed in
2025-07-24T04:20:35.7056110Z               v2.0.
2025-07-24T04:20:35.7056160Z     
2025-07-24T04:20:35.7056290Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-07-24T04:20:35.7056420Z         force_reload (bool, optional): whether to force a fresh download of
2025-07-24T04:20:35.7056560Z             the github repo unconditionally. Does not have any effect if
2025-07-24T04:20:35.7056640Z             ``source = 'local'``. Default is ``False``.
2025-07-24T04:20:35.7056780Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-07-24T04:20:35.7056920Z             local caches. Note that the message about first download cannot be
2025-07-24T04:20:35.7057070Z             muted. Does not have any effect if ``source = 'local'``.
2025-07-24T04:20:35.7057130Z             Default is ``True``.
2025-07-24T04:20:35.7057310Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-07-24T04:20:35.7057490Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-07-24T04:20:35.7057650Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-07-24T04:20:35.7057770Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-07-24T04:20:35.7057900Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-07-24T04:20:35.7057940Z     
2025-07-24T04:20:35.7057990Z     Returns:
2025-07-24T04:20:35.7058110Z         The output of the ``model`` callable when called with the given
2025-07-24T04:20:35.7058170Z         ``*args`` and ``**kwargs``.
2025-07-24T04:20:35.7058210Z     
2025-07-24T04:20:35.7058260Z     Example:
2025-07-24T04:20:35.7058340Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:35.7058400Z         >>> # from a github repo
2025-07-24T04:20:35.7058460Z         >>> repo = "pytorch/vision"
2025-07-24T04:20:35.7058520Z         >>> model = torch.hub.load(
2025-07-24T04:20:35.7058630Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-07-24T04:20:35.7058680Z         ... )
2025-07-24T04:20:35.7058740Z         >>> # from a local directory
2025-07-24T04:20:35.7058820Z         >>> path = "/some/local/path/pytorch/vision"
2025-07-24T04:20:35.7058880Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7059030Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-07-24T04:20:35.7059070Z     
2025-07-24T04:20:35.7059220Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7059260Z     
2025-07-24T04:20:35.7059320Z       warnings.warn(msg)
2025-07-24T04:20:35.7059360Z     
2025-07-24T04:20:35.7059460Z --- Parse Warning: 7 / 136 ---
2025-07-24T04:20:35.7060080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=652.
2025-07-24T04:20:35.7060240Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7060280Z     
2025-07-24T04:20:35.7060390Z     Load a model from a local directory with a ``hubconf.py``.
2025-07-24T04:20:35.7060430Z     
2025-07-24T04:20:35.7060470Z     Args:
2025-07-24T04:20:35.7060590Z         hubconf_dir (str): path to a local directory that contains a
2025-07-24T04:20:35.7060640Z             ``hubconf.py``.
2025-07-24T04:20:35.7060760Z         model (str): name of an entrypoint defined in the directory's
2025-07-24T04:20:35.7060810Z             ``hubconf.py``.
2025-07-24T04:20:35.7060930Z         *args (optional): the corresponding args for callable ``model``.
2025-07-24T04:20:35.7061090Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-07-24T04:20:35.7061130Z     
2025-07-24T04:20:35.7061180Z     Returns:
2025-07-24T04:20:35.7061280Z         a single model with corresponding pretrained weights.
2025-07-24T04:20:35.7061320Z     
2025-07-24T04:20:35.7061360Z     Example:
2025-07-24T04:20:35.7061440Z         >>> # xdoctest: +SKIP("stub local path")
2025-07-24T04:20:35.7061520Z         >>> path = "/some/local/path/pytorch/vision"
2025-07-24T04:20:35.7061590Z         >>> model = _load_local(
2025-07-24T04:20:35.7061640Z         ...     path,
2025-07-24T04:20:35.7061690Z         ...     "resnet50",
2025-07-24T04:20:35.7061780Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-07-24T04:20:35.7061850Z         ... )
2025-07-24T04:20:35.7061890Z     
2025-07-24T04:20:35.7062050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7062110Z     
2025-07-24T04:20:35.7062160Z       warnings.warn(msg)
2025-07-24T04:20:35.7062210Z     
2025-07-24T04:20:35.7062310Z --- Parse Warning: 8 / 136 ---
2025-07-24T04:20:35.7062940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=691.
2025-07-24T04:20:35.7063090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7063190Z     Download object at the given URL to a local path.
2025-07-24T04:20:35.7063230Z     
2025-07-24T04:20:35.7063270Z         Args:
2025-07-24T04:20:35.7063350Z             url (str): URL of the object to download
2025-07-24T04:20:35.7063500Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-07-24T04:20:35.7063710Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-07-24T04:20:35.7063760Z                 Default: None
2025-07-24T04:20:35.7063920Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-07-24T04:20:35.7063970Z                 Default: True
2025-07-24T04:20:35.7064010Z     
2025-07-24T04:20:35.7064060Z         Example:
2025-07-24T04:20:35.7064150Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:35.7064210Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-07-24T04:20:35.7064290Z             >>> torch.hub.download_url_to_file(
2025-07-24T04:20:35.7064430Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-07-24T04:20:35.7064500Z             ...     "/tmp/temporary_file",
2025-07-24T04:20:35.7064540Z             ... )
2025-07-24T04:20:35.7064580Z     
2025-07-24T04:20:35.7064620Z         
2025-07-24T04:20:35.7064780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7064820Z     
2025-07-24T04:20:35.7064870Z       warnings.warn(msg)
2025-07-24T04:20:35.7064920Z     
2025-07-24T04:20:35.7065020Z --- Parse Warning: 9 / 136 ---
2025-07-24T04:20:35.7065660Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/hub.py line=816.
2025-07-24T04:20:35.7065820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7065910Z     Loads the Torch serialized object at the given URL.
2025-07-24T04:20:35.7065950Z     
2025-07-24T04:20:35.7066060Z         If downloaded file is a zip file, it will be automatically
2025-07-24T04:20:35.7066110Z         decompressed.
2025-07-24T04:20:35.7066160Z     
2025-07-24T04:20:35.7066290Z         If the object is already present in `model_dir`, it's deserialized and
2025-07-24T04:20:35.7066370Z         returned.
2025-07-24T04:20:35.7066500Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-07-24T04:20:35.7066620Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-07-24T04:20:35.7066660Z     
2025-07-24T04:20:35.7066710Z         Args:
2025-07-24T04:20:35.7066790Z             url (str): URL of the object to download
2025-07-24T04:20:35.7066910Z             model_dir (str, optional): directory in which to save the object
2025-07-24T04:20:35.7067160Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-07-24T04:20:35.7067330Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-07-24T04:20:35.7067390Z                 Default: True
2025-07-24T04:20:35.7067610Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-07-24T04:20:35.7067760Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-07-24T04:20:35.7067900Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-07-24T04:20:35.7068020Z                 ensure unique names and to verify the contents of the file.
2025-07-24T04:20:35.7068070Z                 Default: False
2025-07-24T04:20:35.7068280Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-07-24T04:20:35.7068470Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-07-24T04:20:35.7068630Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-07-24T04:20:35.7068670Z     
2025-07-24T04:20:35.7068720Z         Example:
2025-07-24T04:20:35.7068840Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-07-24T04:20:35.7068940Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-07-24T04:20:35.7069070Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-07-24T04:20:35.7069120Z             ... )
2025-07-24T04:20:35.7069160Z     
2025-07-24T04:20:35.7069200Z         
2025-07-24T04:20:35.7069360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7069400Z     
2025-07-24T04:20:35.7069450Z       warnings.warn(msg)
2025-07-24T04:20:35.7069490Z     
2025-07-24T04:20:35.7069610Z --- Parse Warning: 10 / 136 ---
2025-07-24T04:20:35.7070290Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py line=446.
2025-07-24T04:20:35.7070470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7070630Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-07-24T04:20:35.7070680Z     
2025-07-24T04:20:35.7070800Z             This is helpful when you want to visualize data over some
2025-07-24T04:20:35.7070910Z             range of inputs. See below for a plotting example.
2025-07-24T04:20:35.7070950Z     
2025-07-24T04:20:35.7071060Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-07-24T04:20:35.7071190Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-07-24T04:20:35.7071320Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-07-24T04:20:35.7071440Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-07-24T04:20:35.7071570Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-07-24T04:20:35.7071630Z             to the result shape.
2025-07-24T04:20:35.7071680Z     
2025-07-24T04:20:35.7071730Z             .. note::
2025-07-24T04:20:35.7071840Z                 0D inputs are treated equivalently to 1D inputs of a
2025-07-24T04:20:35.7071950Z                 single element.
2025-07-24T04:20:35.7071990Z     
2025-07-24T04:20:35.7072050Z             .. warning::
2025-07-24T04:20:35.7072170Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-07-24T04:20:35.7072280Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-07-24T04:20:35.7072330Z     
2025-07-24T04:20:35.7072430Z                 In the future `torch.meshgrid` will transition to
2025-07-24T04:20:35.7072540Z                 `indexing='xy'` as the default.
2025-07-24T04:20:35.7072590Z     
2025-07-24T04:20:35.7072710Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-07-24T04:20:35.7072860Z                 this issue with the goal of migrating to NumPy's behavior.
2025-07-24T04:20:35.7072910Z     
2025-07-24T04:20:35.7072970Z             .. seealso::
2025-07-24T04:20:35.7073030Z     
2025-07-24T04:20:35.7073160Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-07-24T04:20:35.7073250Z                 collects the data in a tensor of vectors.
2025-07-24T04:20:35.7073300Z     
2025-07-24T04:20:35.7073350Z             Args:
2025-07-24T04:20:35.7073530Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-07-24T04:20:35.7073650Z                     treated as tensors of size :math:`(1,)` automatically
2025-07-24T04:20:35.7073690Z     
2025-07-24T04:20:35.7073810Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-07-24T04:20:35.7073930Z                     or "ij", defaults to "ij". See warning for future changes.
2025-07-24T04:20:35.7073980Z     
2025-07-24T04:20:35.7074090Z                     If "xy" is selected, the first dimension corresponds
2025-07-24T04:20:35.7074190Z                     to the cardinality of the second input and the second
2025-07-24T04:20:35.7074310Z                     dimension corresponds to the cardinality of the first
2025-07-24T04:20:35.7074370Z                     input.
2025-07-24T04:20:35.7074420Z     
2025-07-24T04:20:35.7074510Z                     If "ij" is selected, the dimensions are in the same
2025-07-24T04:20:35.7074600Z                     order as the cardinality of the inputs.
2025-07-24T04:20:35.7074650Z     
2025-07-24T04:20:35.7074700Z             Returns:
2025-07-24T04:20:35.7074810Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-07-24T04:20:35.7074910Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-07-24T04:20:35.7075030Z                 output will also have :math:`N` tensors, where each tensor
2025-07-24T04:20:35.7075110Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-07-24T04:20:35.7075150Z     
2025-07-24T04:20:35.7075200Z             Example::
2025-07-24T04:20:35.7075240Z     
2025-07-24T04:20:35.7075310Z                 >>> x = torch.tensor([1, 2, 3])
2025-07-24T04:20:35.7075380Z                 >>> y = torch.tensor([4, 5, 6])
2025-07-24T04:20:35.7075420Z     
2025-07-24T04:20:35.7075550Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-07-24T04:20:35.7075630Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-07-24T04:20:35.7075700Z                 cartesian product.
2025-07-24T04:20:35.7075800Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-07-24T04:20:35.7075850Z                 >>> grid_x
2025-07-24T04:20:35.7075910Z                 tensor([[1, 1, 1],
2025-07-24T04:20:35.7075960Z                         [2, 2, 2],
2025-07-24T04:20:35.7076010Z                         [3, 3, 3]])
2025-07-24T04:20:35.7076060Z                 >>> grid_y
2025-07-24T04:20:35.7076110Z                 tensor([[4, 5, 6],
2025-07-24T04:20:35.7076160Z                         [4, 5, 6],
2025-07-24T04:20:35.7076220Z                         [4, 5, 6]])
2025-07-24T04:20:35.7076260Z     
2025-07-24T04:20:35.7076360Z                 This correspondence can be seen when these grids are
2025-07-24T04:20:35.7076470Z                 stacked properly.
2025-07-24T04:20:35.7076590Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-07-24T04:20:35.7076670Z                 ...             torch.cartesian_prod(x, y))
2025-07-24T04:20:35.7076720Z                 True
2025-07-24T04:20:35.7076760Z     
2025-07-24T04:20:35.7076870Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-07-24T04:20:35.7076920Z                 plotting.
2025-07-24T04:20:35.7077050Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-07-24T04:20:35.7077130Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-07-24T04:20:35.7077260Z                 >>> import matplotlib.pyplot as plt
2025-07-24T04:20:35.7077340Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-07-24T04:20:35.7077420Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-07-24T04:20:35.7077560Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-07-24T04:20:35.7077640Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-07-24T04:20:35.7077720Z                 >>> ax = plt.axes(projection='3d')
2025-07-24T04:20:35.7077810Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-07-24T04:20:35.7077870Z                 >>> plt.show()
2025-07-24T04:20:35.7077910Z     
2025-07-24T04:20:35.7077980Z             .. image:: ../_static/img/meshgrid.png
2025-07-24T04:20:35.7078030Z                 :width: 512
2025-07-24T04:20:35.7078080Z     
2025-07-24T04:20:35.7078120Z             
2025-07-24T04:20:35.7078270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7078320Z     
2025-07-24T04:20:35.7078370Z       warnings.warn(msg)
2025-07-24T04:20:35.7078410Z     
2025-07-24T04:20:35.7078510Z --- Parse Warning: 11 / 136 ---
2025-07-24T04:20:35.7079150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/functional.py line=842.
2025-07-24T04:20:35.7079310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7079540Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-07-24T04:20:35.7079580Z     
2025-07-24T04:20:35.7079680Z         Returns the unique elements of the input tensor.
2025-07-24T04:20:35.7079720Z     
2025-07-24T04:20:35.7079900Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-07-24T04:20:35.7080030Z             this function also eliminates non-consecutive duplicate values.
2025-07-24T04:20:35.7080070Z     
2025-07-24T04:20:35.7080210Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-07-24T04:20:35.7080390Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-07-24T04:20:35.7080560Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-07-24T04:20:35.7080680Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-07-24T04:20:35.7080720Z     
2025-07-24T04:20:35.7080760Z         Args:
2025-07-24T04:20:35.7080840Z             input (Tensor): the input tensor
2025-07-24T04:20:35.7080970Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-07-24T04:20:35.7081030Z                 before returning as output.
2025-07-24T04:20:35.7081170Z             return_inverse (bool): Whether to also return the indices for where
2025-07-24T04:20:35.7081300Z                 elements in the original input ended up in the returned unique list.
2025-07-24T04:20:35.7081440Z             return_counts (bool): Whether to also return the counts for each unique
2025-07-24T04:20:35.7081490Z                 element.
2025-07-24T04:20:35.7081660Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-07-24T04:20:35.7081790Z                 unique of the flattened input is returned. Otherwise, each of the
2025-07-24T04:20:35.7081910Z                 tensors indexed by the given dimension is treated as one of the
2025-07-24T04:20:35.7082040Z                 elements to apply the unique operation upon. See examples for more
2025-07-24T04:20:35.7082110Z                 details. Default: ``None``
2025-07-24T04:20:35.7082170Z     
2025-07-24T04:20:35.7082210Z         Returns:
2025-07-24T04:20:35.7082390Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-07-24T04:20:35.7082450Z     
2025-07-24T04:20:35.7082580Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-07-24T04:20:35.7082690Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-07-24T04:20:35.7082800Z                   :attr:`return_inverse` is True, there will be an additional
2025-07-24T04:20:35.7082930Z                   returned tensor (same shape as input) representing the indices
2025-07-24T04:20:35.7083050Z                   for where elements in the original input map to in the output;
2025-07-24T04:20:35.7083170Z                   otherwise, this function will only return a single tensor.
2025-07-24T04:20:35.7083250Z                 - **counts** (*Tensor*): (optional) if
2025-07-24T04:20:35.7083360Z                   :attr:`return_counts` is True, there will be an additional
2025-07-24T04:20:35.7083480Z                   returned tensor (same shape as output or output.size(dim),
2025-07-24T04:20:35.7083600Z                   if dim was specified) representing the number of occurrences
2025-07-24T04:20:35.7083670Z                   for each unique value or tensor.
2025-07-24T04:20:35.7083710Z     
2025-07-24T04:20:35.7083760Z         Example::
2025-07-24T04:20:35.7083800Z     
2025-07-24T04:20:35.7083940Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-07-24T04:20:35.7083990Z             >>> output
2025-07-24T04:20:35.7084040Z             tensor([1, 2, 3])
2025-07-24T04:20:35.7084080Z     
2025-07-24T04:20:35.7084160Z             >>> output, inverse_indices = torch.unique(
2025-07-24T04:20:35.7084300Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-07-24T04:20:35.7084350Z             >>> output
2025-07-24T04:20:35.7084410Z             tensor([1, 2, 3])
2025-07-24T04:20:35.7084460Z             >>> inverse_indices
2025-07-24T04:20:35.7084520Z             tensor([0, 2, 1, 2])
2025-07-24T04:20:35.7084560Z     
2025-07-24T04:20:35.7084640Z             >>> output, inverse_indices = torch.unique(
2025-07-24T04:20:35.7084790Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-07-24T04:20:35.7084830Z             >>> output
2025-07-24T04:20:35.7084890Z             tensor([1, 2, 3])
2025-07-24T04:20:35.7084940Z             >>> inverse_indices
2025-07-24T04:20:35.7084990Z             tensor([[0, 2],
2025-07-24T04:20:35.7085040Z                     [1, 2]])
2025-07-24T04:20:35.7085080Z     
2025-07-24T04:20:35.7085140Z             >>> a = torch.tensor([
2025-07-24T04:20:35.7085180Z             ...     [
2025-07-24T04:20:35.7085230Z             ...         [1, 1, 0, 0],
2025-07-24T04:20:35.7085290Z             ...         [1, 1, 0, 0],
2025-07-24T04:20:35.7085340Z             ...         [0, 0, 1, 1],
2025-07-24T04:20:35.7085390Z             ...     ],
2025-07-24T04:20:35.7085430Z             ...     [
2025-07-24T04:20:35.7085480Z             ...         [0, 0, 1, 1],
2025-07-24T04:20:35.7085540Z             ...         [0, 0, 1, 1],
2025-07-24T04:20:35.7085590Z             ...         [1, 1, 1, 1],
2025-07-24T04:20:35.7085630Z             ...     ],
2025-07-24T04:20:35.7085680Z             ...     [
2025-07-24T04:20:35.7085730Z             ...         [1, 1, 0, 0],
2025-07-24T04:20:35.7085840Z             ...         [1, 1, 0, 0],
2025-07-24T04:20:35.7085890Z             ...         [0, 0, 1, 1],
2025-07-24T04:20:35.7085940Z             ...     ],
2025-07-24T04:20:35.7085980Z             ... ])
2025-07-24T04:20:35.7086020Z     
2025-07-24T04:20:35.7086150Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-07-24T04:20:35.7086290Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-07-24T04:20:35.7086510Z             >>> # each other, so one of them will be removed.
2025-07-24T04:20:35.7086580Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-07-24T04:20:35.7086630Z             tensor(True)
2025-07-24T04:20:35.7086740Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-07-24T04:20:35.7086800Z             >>> a_unique_dim0
2025-07-24T04:20:35.7086850Z             tensor([[[0, 0, 1, 1],
2025-07-24T04:20:35.7086920Z                      [0, 0, 1, 1],
2025-07-24T04:20:35.7086970Z                      [1, 1, 1, 1]],
2025-07-24T04:20:35.7087030Z                     [[1, 1, 0, 0],
2025-07-24T04:20:35.7087070Z                      [1, 1, 0, 0],
2025-07-24T04:20:35.7087130Z                      [0, 0, 1, 1]]])
2025-07-24T04:20:35.7087170Z     
2025-07-24T04:20:35.7087310Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-07-24T04:20:35.7087360Z             >>> # `a_unique_dim0`:
2025-07-24T04:20:35.7087440Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-07-24T04:20:35.7087490Z             tensor(True)
2025-07-24T04:20:35.7087570Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-07-24T04:20:35.7087620Z             tensor(True)
2025-07-24T04:20:35.7087660Z     
2025-07-24T04:20:35.7087790Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-07-24T04:20:35.7087910Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-07-24T04:20:35.7087970Z             >>> # them will be removed.
2025-07-24T04:20:35.7088040Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-07-24T04:20:35.7088090Z             tensor(True)
2025-07-24T04:20:35.7088150Z             >>> torch.unique(a, dim=1)
2025-07-24T04:20:35.7088200Z             tensor([[[0, 0, 1, 1],
2025-07-24T04:20:35.7088250Z                      [1, 1, 0, 0]],
2025-07-24T04:20:35.7088300Z                     [[1, 1, 1, 1],
2025-07-24T04:20:35.7088350Z                      [0, 0, 1, 1]],
2025-07-24T04:20:35.7088400Z                     [[0, 0, 1, 1],
2025-07-24T04:20:35.7088460Z                      [1, 1, 0, 0]]])
2025-07-24T04:20:35.7088500Z     
2025-07-24T04:20:35.7088630Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-07-24T04:20:35.7088730Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-07-24T04:20:35.7088840Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-07-24T04:20:35.7088910Z             >>> # sub-tensors will be removed.
2025-07-24T04:20:35.7088970Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-07-24T04:20:35.7089020Z             tensor(True)
2025-07-24T04:20:35.7089080Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-07-24T04:20:35.7089130Z             tensor(True)
2025-07-24T04:20:35.7089190Z             >>> torch.unique(a, dim=2)
2025-07-24T04:20:35.7089240Z             tensor([[[0, 1],
2025-07-24T04:20:35.7089290Z                      [0, 1],
2025-07-24T04:20:35.7089340Z                      [1, 0]],
2025-07-24T04:20:35.7089390Z                     [[1, 0],
2025-07-24T04:20:35.7089440Z                      [1, 0],
2025-07-24T04:20:35.7089490Z                      [1, 1]],
2025-07-24T04:20:35.7089530Z                     [[0, 1],
2025-07-24T04:20:35.7089580Z                      [0, 1],
2025-07-24T04:20:35.7089630Z                      [1, 0]]])
2025-07-24T04:20:35.7089670Z         
2025-07-24T04:20:35.7089830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7089920Z     
2025-07-24T04:20:35.7089980Z       warnings.warn(msg)
2025-07-24T04:20:35.7090020Z     
2025-07-24T04:20:35.7090120Z --- Parse Warning: 12 / 136 ---
2025-07-24T04:20:35.7090750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-07-24T04:20:35.7090930Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7091170Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-07-24T04:20:35.7091210Z     
2025-07-24T04:20:35.7091330Z         Loads an object saved with :func:`torch.save` from a file.
2025-07-24T04:20:35.7091380Z     
2025-07-24T04:20:35.7091530Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-07-24T04:20:35.7091670Z         which underlie tensors, specially. They are first deserialized on the
2025-07-24T04:20:35.7091810Z         CPU and are then moved to the device they were saved from. If this fails
2025-07-24T04:20:35.7091950Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-07-24T04:20:35.7092100Z         is raised. However, storages can be dynamically remapped to an alternative
2025-07-24T04:20:35.7092200Z         set of devices using the :attr:`map_location` argument.
2025-07-24T04:20:35.7092240Z     
2025-07-24T04:20:35.7092390Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-07-24T04:20:35.7092530Z         storage with two arguments: storage and location. The storage argument
2025-07-24T04:20:35.7092670Z         will be the initial deserialization of the storage, residing on the CPU.
2025-07-24T04:20:35.7092800Z         Each serialized storage has a location tag associated with it which
2025-07-24T04:20:35.7092930Z         identifies the device it was saved from, and this tag is the second
2025-07-24T04:20:35.7093090Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-07-24T04:20:35.7093220Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-07-24T04:20:35.7093350Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-07-24T04:20:35.7093500Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-07-24T04:20:35.7093650Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-07-24T04:20:35.7093800Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-07-24T04:20:35.7093850Z     
2025-07-24T04:20:35.7093990Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-07-24T04:20:35.7094130Z         a device tag, it indicates the location where all tensors should be loaded.
2025-07-24T04:20:35.7094180Z     
2025-07-24T04:20:35.7094340Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-07-24T04:20:35.7094470Z         appearing in the file (keys), to ones that specify where to put the
2025-07-24T04:20:35.7094520Z         storages (values).
2025-07-24T04:20:35.7094570Z     
2025-07-24T04:20:35.7094700Z         User extensions can register their own location tags and tagging and
2025-07-24T04:20:35.7094860Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-07-24T04:20:35.7094900Z     
2025-07-24T04:20:35.7095060Z         See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-07-24T04:20:35.7095100Z     
2025-07-24T04:20:35.7095140Z         Args:
2025-07-24T04:20:35.7095340Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-07-24T04:20:35.7095500Z                 or a string or os.PathLike object containing a file name
2025-07-24T04:20:35.7095700Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-07-24T04:20:35.7095750Z                 locations
2025-07-24T04:20:35.7095890Z             pickle_module: module used for unpickling metadata and objects (has to
2025-07-24T04:20:35.7096000Z                 match the :attr:`pickle_module` used to serialize file)
2025-07-24T04:20:35.7096160Z             weights_only: Indicates whether unpickler should be restricted to
2025-07-24T04:20:35.7096270Z                 loading only tensors, primitive types, dictionaries
2025-07-24T04:20:35.7096470Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-07-24T04:20:35.7096560Z                 See :ref:`weights-only` for more details.
2025-07-24T04:20:35.7096810Z             mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-07-24T04:20:35.7107610Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-07-24T04:20:35.7107890Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-07-24T04:20:35.7108090Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-07-24T04:20:35.7108300Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-07-24T04:20:35.7108400Z                 will be lazily loaded when their data is accessed.
2025-07-24T04:20:35.7108550Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-07-24T04:20:35.7108690Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-07-24T04:20:35.7108750Z                 :attr:`errors=...`.
2025-07-24T04:20:35.7108790Z     
2025-07-24T04:20:35.7108870Z         .. warning::
2025-07-24T04:20:35.7109000Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-07-24T04:20:35.7109120Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-07-24T04:20:35.7109290Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-07-24T04:20:35.7109440Z             during unpickling. Never load data that could have come from an untrusted
2025-07-24T04:20:35.7109620Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-07-24T04:20:35.7109660Z     
2025-07-24T04:20:35.7109700Z         .. note::
2025-07-24T04:20:35.7109860Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-07-24T04:20:35.7110020Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-07-24T04:20:35.7110180Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-07-24T04:20:35.7110220Z     
2025-07-24T04:20:35.7110270Z         .. note::
2025-07-24T04:20:35.7110420Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-07-24T04:20:35.7110550Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-07-24T04:20:35.7110680Z             when loading files saved by Python 2 in Python 3.  If this default
2025-07-24T04:20:35.7110830Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-07-24T04:20:35.7110980Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-07-24T04:20:35.7111120Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-07-24T04:20:35.7111270Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-07-24T04:20:35.7111410Z     
2025-07-24T04:20:35.7111450Z         Example:
2025-07-24T04:20:35.7111530Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-07-24T04:20:35.7111620Z             >>> torch.load("tensors.pt", weights_only=True)
2025-07-24T04:20:35.7111690Z             # Load all tensors onto the CPU
2025-07-24T04:20:35.7111740Z             >>> torch.load(
2025-07-24T04:20:35.7111800Z             ...     "tensors.pt",
2025-07-24T04:20:35.7111870Z             ...     map_location=torch.device("cpu"),
2025-07-24T04:20:35.7111980Z             ...     weights_only=True,
2025-07-24T04:20:35.7112020Z             ... )
2025-07-24T04:20:35.7112110Z             # Load all tensors onto the CPU, using a function
2025-07-24T04:20:35.7112220Z             >>> torch.load(
2025-07-24T04:20:35.7112280Z             ...     "tensors.pt",
2025-07-24T04:20:35.7112360Z             ...     map_location=lambda storage, loc: storage,
2025-07-24T04:20:35.7112470Z             ...     weights_only=True,
2025-07-24T04:20:35.7112510Z             ... )
2025-07-24T04:20:35.7112580Z             # Load all tensors onto GPU 1
2025-07-24T04:20:35.7112630Z             >>> torch.load(
2025-07-24T04:20:35.7112680Z             ...     "tensors.pt",
2025-07-24T04:20:35.7112780Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-07-24T04:20:35.7112830Z             ...     weights_only=True,
2025-07-24T04:20:35.7112900Z             ... )  # type: ignore[attr-defined]
2025-07-24T04:20:35.7112970Z             # Map tensors from GPU 1 to GPU 0
2025-07-24T04:20:35.7113020Z             >>> torch.load(
2025-07-24T04:20:35.7113070Z             ...     "tensors.pt",
2025-07-24T04:20:35.7113150Z             ...     map_location={"cuda:1": "cuda:0"},
2025-07-24T04:20:35.7113200Z             ...     weights_only=True,
2025-07-24T04:20:35.7113250Z             ... )
2025-07-24T04:20:35.7113320Z             # Load tensor from io.BytesIO object
2025-07-24T04:20:35.7113480Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-07-24T04:20:35.7113550Z             >>> with open("tensor.pt", "rb") as f:
2025-07-24T04:20:35.7113620Z             ...     buffer = io.BytesIO(f.read())
2025-07-24T04:20:35.7113690Z             >>> torch.load(buffer, weights_only=False)
2025-07-24T04:20:35.7113790Z             # Load a module with 'ascii' encoding for unpickling
2025-07-24T04:20:35.7113940Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-07-24T04:20:35.7114060Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-07-24T04:20:35.7114110Z         
2025-07-24T04:20:35.7114260Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7114300Z     
2025-07-24T04:20:35.7114350Z       warnings.warn(msg)
2025-07-24T04:20:35.7114390Z     
2025-07-24T04:20:35.7114560Z --- Parse Warning: 13 / 136 ---
2025-07-24T04:20:35.7115230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-07-24T04:20:35.7115380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7115430Z     
2025-07-24T04:20:35.7115560Z     Append the given callback function to this ``Future``, which will be run
2025-07-24T04:20:35.7115690Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-07-24T04:20:35.7115820Z     the same ``Future``, but the order in which they will be executed cannot
2025-07-24T04:20:35.7115930Z     be guaranteed (to enforce a certain order consider chaining:
2025-07-24T04:20:35.7116050Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-07-24T04:20:35.7116180Z     is the reference to this ``Future``. The callback function can use the
2025-07-24T04:20:35.7116310Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-07-24T04:20:35.7116480Z     already completed, the given callback will be run immediately inline.
2025-07-24T04:20:35.7116520Z     
2025-07-24T04:20:35.7116640Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-07-24T04:20:35.7116780Z     callback might be invoked while the async kernels that are populating
2025-07-24T04:20:35.7116910Z     those tensors haven't yet finished executing on the device. However, the
2025-07-24T04:20:35.7117070Z     callback will be invoked with some dedicated streams set as current
2025-07-24T04:20:35.7117200Z     (fetched from a global pool) which will be synchronized with those
2025-07-24T04:20:35.7117350Z     kernels. Hence any operation performed by the callback on these tensors
2025-07-24T04:20:35.7117480Z     will be scheduled on the device after the kernels complete. In other
2025-07-24T04:20:35.7117630Z     words, as long as the callback doesn't switch streams, it can safely
2025-07-24T04:20:35.7117770Z     manipulate the result without any additional synchronization. This is
2025-07-24T04:20:35.7117870Z     similar to the non-blocking behavior of :meth:`wait`.
2025-07-24T04:20:35.7117910Z     
2025-07-24T04:20:35.7118040Z     Similarly, if the callback returns a value that contains tensors that
2025-07-24T04:20:35.7118150Z     reside on a GPU, it can do so even if the kernels that are producing
2025-07-24T04:20:35.7118290Z     these tensors are still running on the device, as long as the callback
2025-07-24T04:20:35.7118410Z     didn't change streams during its execution. If one wants to change
2025-07-24T04:20:35.7118540Z     streams, one must be careful to re-synchronize them with the original
2025-07-24T04:20:35.7118670Z     streams, that is, those that were current when the callback was invoked.
2025-07-24T04:20:35.7118720Z     
2025-07-24T04:20:35.7118760Z     Args:
2025-07-24T04:20:35.7118890Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-07-24T04:20:35.7118960Z                                 the only argument.
2025-07-24T04:20:35.7119000Z     
2025-07-24T04:20:35.7119040Z     Returns:
2025-07-24T04:20:35.7119150Z         A new ``Future`` object that holds the return value of the
2025-07-24T04:20:35.7119260Z         ``callback`` and will be marked as completed when the given
2025-07-24T04:20:35.7119310Z         ``callback`` finishes.
2025-07-24T04:20:35.7119360Z     
2025-07-24T04:20:35.7119470Z     .. note:: Note that if the callback function throws, either
2025-07-24T04:20:35.7119600Z         through the original future being completed with an exception and
2025-07-24T04:20:35.7119710Z         calling ``fut.wait()``, or through other code in the callback, the
2025-07-24T04:20:35.7119840Z         future returned by ``then`` will be marked appropriately with the
2025-07-24T04:20:35.7119960Z         encountered error. However, if this callback later completes
2025-07-24T04:20:35.7120090Z         additional futures, those futures are not marked as completed with
2025-07-24T04:20:35.7120220Z         an error and the user is responsible for handling completion/waiting
2025-07-24T04:20:35.7120280Z         on those futures independently.
2025-07-24T04:20:35.7120320Z     
2025-07-24T04:20:35.7120370Z     Example::
2025-07-24T04:20:35.7120410Z     
2025-07-24T04:20:35.7120500Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-07-24T04:20:35.7120560Z         >>> def callback(fut):
2025-07-24T04:20:35.7120650Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-07-24T04:20:35.7120710Z         >>> fut = torch.futures.Future()
2025-07-24T04:20:35.7120820Z         >>> # The inserted callback will print the return value when
2025-07-24T04:20:35.7120900Z         >>> # receiving the response from "worker1"
2025-07-24T04:20:35.7120960Z         >>> cb_fut = fut.then(callback)
2025-07-24T04:20:35.7121020Z         >>> chain_cb_fut = cb_fut.then(
2025-07-24T04:20:35.7121110Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-07-24T04:20:35.7121190Z         ... )
2025-07-24T04:20:35.7121250Z         >>> fut.set_result(5)
2025-07-24T04:20:35.7121300Z         RPC return value is 5.
2025-07-24T04:20:35.7121360Z         Chained cb done. None
2025-07-24T04:20:35.7121400Z     
2025-07-24T04:20:35.7121550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7121590Z     
2025-07-24T04:20:35.7121640Z       warnings.warn(msg)
2025-07-24T04:20:35.7121700Z     
2025-07-24T04:20:35.7121810Z --- Parse Warning: 14 / 136 ---
2025-07-24T04:20:35.7122520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-07-24T04:20:35.7122700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7122740Z     
2025-07-24T04:20:35.7122870Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-07-24T04:20:35.7123000Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-07-24T04:20:35.7123060Z     cannot be marked completed twice.
2025-07-24T04:20:35.7123100Z     
2025-07-24T04:20:35.7123240Z     If the result contains tensors that reside on GPUs, this method can be
2025-07-24T04:20:35.7123360Z     called even if the asynchronous kernels that are populating those
2025-07-24T04:20:35.7123490Z     tensors haven't yet completed running on the device, provided that the
2025-07-24T04:20:35.7123630Z     streams on which those kernels were enqueued are set as the current ones
2025-07-24T04:20:35.7123750Z     when this method is called. Put simply, it's safe to call this method
2025-07-24T04:20:35.7123880Z     immediately after launching those kernels, without any additional
2025-07-24T04:20:35.7124020Z     synchronization, as long as one doesn't change streams in between. This
2025-07-24T04:20:35.7124160Z     method will record events on all the relevant current streams and will
2025-07-24T04:20:35.7124280Z     use them to ensure proper scheduling for all the consumers of this
2025-07-24T04:20:35.7124320Z     ``Future``.
2025-07-24T04:20:35.7124360Z     
2025-07-24T04:20:35.7124400Z     Args:
2025-07-24T04:20:35.7124500Z         result (object): the result object of this ``Future``.
2025-07-24T04:20:35.7124550Z     
2025-07-24T04:20:35.7124590Z     Example::
2025-07-24T04:20:35.7124640Z     
2025-07-24T04:20:35.7124730Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-07-24T04:20:35.7124780Z         >>> import threading
2025-07-24T04:20:35.7124830Z         >>> import time
2025-07-24T04:20:35.7124900Z         >>> def slow_set_future(fut, value):
2025-07-24T04:20:35.7124950Z         ...     time.sleep(0.5)
2025-07-24T04:20:35.7125010Z         ...     fut.set_result(value)
2025-07-24T04:20:35.7125070Z         >>> fut = torch.futures.Future()
2025-07-24T04:20:35.7125130Z         >>> t = threading.Thread(
2025-07-24T04:20:35.7125190Z         ...     target=slow_set_future,
2025-07-24T04:20:35.7125260Z         ...     args=(fut, torch.ones(2) * 3)
2025-07-24T04:20:35.7125300Z         ... )
2025-07-24T04:20:35.7125340Z         >>> t.start()
2025-07-24T04:20:35.7125400Z         >>> print(fut.wait())
2025-07-24T04:20:35.7125440Z         tensor([3., 3.])
2025-07-24T04:20:35.7125490Z         >>> t.join()
2025-07-24T04:20:35.7125530Z     
2025-07-24T04:20:35.7125680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7125720Z     
2025-07-24T04:20:35.7125770Z       warnings.warn(msg)
2025-07-24T04:20:35.7125820Z     
2025-07-24T04:20:35.7125920Z --- Parse Warning: 15 / 136 ---
2025-07-24T04:20:35.7126570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-07-24T04:20:35.7126780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7126910Z     Compiles compute shader from source and allows one to invoke kernels
2025-07-24T04:20:35.7127000Z         defined there from the comfort of Python runtime
2025-07-24T04:20:35.7127050Z         Example::
2025-07-24T04:20:35.7127090Z     
2025-07-24T04:20:35.7127200Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-07-24T04:20:35.7127270Z             >>> lib = torch.mps.compile_shader(
2025-07-24T04:20:35.7127520Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-07-24T04:20:35.7127570Z             ...  )
2025-07-24T04:20:35.7127640Z             >>> x = torch.zeros(16, device="mps")
2025-07-24T04:20:35.7127730Z             >>> lib.full(x, 3.14)
2025-07-24T04:20:35.7127780Z         
2025-07-24T04:20:35.7127930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7127980Z     
2025-07-24T04:20:35.7128030Z       warnings.warn(msg)
2025-07-24T04:20:35.7128070Z     
2025-07-24T04:20:35.7128170Z --- Parse Warning: 16 / 136 ---
2025-07-24T04:20:35.7128880Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1848.
2025-07-24T04:20:35.7129040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7129170Z     Computes the minimum storage size to hold the given tensor geometry.
2025-07-24T04:20:35.7129210Z     
2025-07-24T04:20:35.7129260Z         Example
2025-07-24T04:20:35.7129300Z         =======
2025-07-24T04:20:35.7129340Z     
2025-07-24T04:20:35.7129480Z         This is the size of a newly allocated tensor's storage, in units of elements
2025-07-24T04:20:35.7129520Z     
2025-07-24T04:20:35.7129580Z         >>> t = torch.empty((10, 20))
2025-07-24T04:20:35.7129720Z         >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-07-24T04:20:35.7129760Z         200
2025-07-24T04:20:35.7129810Z     
2025-07-24T04:20:35.7129860Z         >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:35.7129950Z         >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-07-24T04:20:35.7130030Z         >>> size = compute_required_storage_length(
2025-07-24T04:20:35.7130110Z         ...     t2.shape, t2.stride(), t2.storage_offset()
2025-07-24T04:20:35.7130150Z         ... )
2025-07-24T04:20:35.7130210Z         >>> size == t.storage().size()
2025-07-24T04:20:35.7130250Z         True
2025-07-24T04:20:35.7130290Z     
2025-07-24T04:20:35.7130420Z         A valid tensor may have a larger storage size, but never smaller
2025-07-24T04:20:35.7130460Z     
2025-07-24T04:20:35.7130520Z         >>> slice = torch.empty(100)[20:40]
2025-07-24T04:20:35.7130580Z         >>> slice.storage().size()
2025-07-24T04:20:35.7130620Z         100
2025-07-24T04:20:35.7130660Z     
2025-07-24T04:20:35.7130730Z         >>> compute_required_storage_length(
2025-07-24T04:20:35.7130830Z         ...     slice.shape, slice.stride(), slice.storage_offset()
2025-07-24T04:20:35.7130880Z         ... )
2025-07-24T04:20:35.7130920Z         40
2025-07-24T04:20:35.7130960Z     
2025-07-24T04:20:35.7131000Z         
2025-07-24T04:20:35.7131150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7131200Z     
2025-07-24T04:20:35.7131250Z       warnings.warn(msg)
2025-07-24T04:20:35.7131290Z     
2025-07-24T04:20:35.7131390Z --- Parse Warning: 17 / 136 ---
2025-07-24T04:20:35.7132020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-07-24T04:20:35.7132210Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7132280Z     Retrieves the CUDA runtime API module.
2025-07-24T04:20:35.7132320Z     
2025-07-24T04:20:35.7132360Z     
2025-07-24T04:20:35.7132510Z         This function initializes the CUDA runtime environment if it is not already
2025-07-24T04:20:35.7132700Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-07-24T04:20:35.7132850Z         runtime API module provides access to various CUDA runtime functions.
2025-07-24T04:20:35.7132900Z     
2025-07-24T04:20:35.7132940Z         Args:
2025-07-24T04:20:35.7132980Z             ``None``
2025-07-24T04:20:35.7133030Z     
2025-07-24T04:20:35.7133090Z         Returns:
2025-07-24T04:20:35.7133190Z             module: The CUDA runtime API module (_cudart).
2025-07-24T04:20:35.7133230Z     
2025-07-24T04:20:35.7133280Z         Raises:
2025-07-24T04:20:35.7133420Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-07-24T04:20:35.7133650Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-07-24T04:20:35.7133690Z     
2025-07-24T04:20:35.7133770Z         Example of CUDA operations with profiling:
2025-07-24T04:20:35.7133830Z             >>> import torch
2025-07-24T04:20:35.7133910Z             >>> from torch.cuda import cudart, check_error
2025-07-24T04:20:35.7133960Z             >>> import os
2025-07-24T04:20:35.7134010Z             >>>
2025-07-24T04:20:35.7134090Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-07-24T04:20:35.7134130Z             >>>
2025-07-24T04:20:35.7134220Z             >>> def perform_cuda_operations_with_streams():
2025-07-24T04:20:35.7134290Z             >>>     stream = torch.cuda.Stream()
2025-07-24T04:20:35.7134370Z             >>>     with torch.cuda.stream(stream):
2025-07-24T04:20:35.7134450Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-07-24T04:20:35.7134530Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-07-24T04:20:35.7134590Z             >>>         z = torch.mul(x, y)
2025-07-24T04:20:35.7134640Z             >>>     return z
2025-07-24T04:20:35.7134690Z             >>>
2025-07-24T04:20:35.7134750Z             >>> torch.cuda.synchronize()
2025-07-24T04:20:35.7134830Z             >>> print("====== Start nsys profiling ======")
2025-07-24T04:20:35.7134920Z             >>> check_error(cudart().cudaProfilerStart())
2025-07-24T04:20:35.7135010Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-07-24T04:20:35.7135100Z             >>>     result = perform_cuda_operations_with_streams()
2025-07-24T04:20:35.7135180Z             >>>     print("CUDA operations completed.")
2025-07-24T04:20:35.7135280Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-07-24T04:20:35.7135370Z             >>> print("====== End nsys profiling ======")
2025-07-24T04:20:35.7135410Z     
2025-07-24T04:20:35.7135530Z         To run this example and save the profiling information, execute:
2025-07-24T04:20:35.7135750Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-07-24T04:20:35.7135790Z     
2025-07-24T04:20:35.7135940Z         This command profiles the CUDA operations in the provided script and saves
2025-07-24T04:20:35.7136060Z         the profiling information to a file named `trace_name.prof`.
2025-07-24T04:20:35.7136210Z         The `--profile-from-start off` option ensures that profiling starts only
2025-07-24T04:20:35.7136300Z         after the `cudaProfilerStart` call in the script.
2025-07-24T04:20:35.7136440Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-07-24T04:20:35.7136520Z         CSV file and print a summary, respectively.
2025-07-24T04:20:35.7136700Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-07-24T04:20:35.7136800Z         overwrite of the output file if it already exists.
2025-07-24T04:20:35.7136840Z         
2025-07-24T04:20:35.7137230Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-07-24T04:20:35.7137320Z     
2025-07-24T04:20:35.7137530Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-07-24T04:20:35.7137570Z     ^
2025-07-24T04:20:35.7137620Z       warnings.warn(msg)
2025-07-24T04:20:35.7137680Z     
2025-07-24T04:20:35.7137790Z --- Parse Warning: 18 / 136 ---
2025-07-24T04:20:35.7138480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py line=48.
2025-07-24T04:20:35.7138640Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7138790Z     Check if the current accelerator is available at runtime: it was build, all the
2025-07-24T04:20:35.7138920Z         required drivers are available and at least one device is visible.
2025-07-24T04:20:35.7139050Z         See :ref:`accelerator<accelerators>` for details.
2025-07-24T04:20:35.7139080Z     
2025-07-24T04:20:35.7139130Z         Returns:
2025-07-24T04:20:35.7139300Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-07-24T04:20:35.7139340Z     
2025-07-24T04:20:35.7139490Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-07-24T04:20:35.7139660Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-07-24T04:20:35.7139880Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-07-24T04:20:35.7139980Z             :ref:`multiprocessing-poison-fork-note`.
2025-07-24T04:20:35.7140020Z     
2025-07-24T04:20:35.7140070Z         Example::
2025-07-24T04:20:35.7140110Z     
2025-07-24T04:20:35.7140280Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:35.7140330Z         
2025-07-24T04:20:35.7140660Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-07-24T04:20:35.7140700Z     
2025-07-24T04:20:35.7140860Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:35.7140930Z                                             ^
2025-07-24T04:20:35.7140980Z       warnings.warn(msg)
2025-07-24T04:20:35.7141020Z     
2025-07-24T04:20:35.7141120Z --- Parse Warning: 19 / 136 ---
2025-07-24T04:20:35.7141780Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/accelerator/__init__.py line=194.
2025-07-24T04:20:35.7141930Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7142090Z     Wait for all kernels in all streams on the given device to complete.
2025-07-24T04:20:35.7142130Z     
2025-07-24T04:20:35.7142170Z         Args:
2025-07-24T04:20:35.7142360Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-07-24T04:20:35.7142500Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-07-24T04:20:35.7142630Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-07-24T04:20:35.7142740Z     
2025-07-24T04:20:35.7142930Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-07-24T04:20:35.7142970Z     
2025-07-24T04:20:35.7143010Z         Example::
2025-07-24T04:20:35.7143050Z     
2025-07-24T04:20:35.7143140Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7143300Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:35.7143420Z             >>> start_event = torch.Event(enable_timing=True)
2025-07-24T04:20:35.7143500Z             >>> end_event = torch.Event(enable_timing=True)
2025-07-24T04:20:35.7143570Z             >>> start_event.record()
2025-07-24T04:20:35.7143760Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-07-24T04:20:35.7143830Z             >>> sum = torch.sum(tensor)
2025-07-24T04:20:35.7143900Z             >>> end_event.record()
2025-07-24T04:20:35.7143980Z             >>> torch.accelerator.synchronize()
2025-07-24T04:20:35.7144090Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-07-24T04:20:35.7144130Z         
2025-07-24T04:20:35.7144460Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-07-24T04:20:35.7144500Z     
2025-07-24T04:20:35.7144660Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-07-24T04:20:35.7144720Z                                             ^
2025-07-24T04:20:35.7144770Z       warnings.warn(msg)
2025-07-24T04:20:35.7144810Z     
2025-07-24T04:20:35.7144920Z --- Parse Warning: 20 / 136 ---
2025-07-24T04:20:35.7145540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-07-24T04:20:35.7145700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7145790Z     Return the sum of each row of the given sparse tensor.
2025-07-24T04:20:35.7145840Z     
2025-07-24T04:20:35.7145970Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-07-24T04:20:35.7146100Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-07-24T04:20:35.7146230Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-07-24T04:20:35.7146320Z         returns a dense tensor instead of a sparse tensor.
2025-07-24T04:20:35.7146360Z     
2025-07-24T04:20:35.7146530Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-07-24T04:20:35.7146650Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-07-24T04:20:35.7146690Z     
2025-07-24T04:20:35.7146830Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-07-24T04:20:35.7146980Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-07-24T04:20:35.7147020Z     
2025-07-24T04:20:35.7147060Z         Args:
2025-07-24T04:20:35.7147140Z             input (Tensor): the input sparse tensor
2025-07-24T04:20:35.7147300Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-07-24T04:20:35.7147360Z                 over all dims.
2025-07-24T04:20:35.7147520Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-07-24T04:20:35.7147590Z                 Default: dtype of :attr:`input`.
2025-07-24T04:20:35.7147630Z     
2025-07-24T04:20:35.7147680Z         Example::
2025-07-24T04:20:35.7147710Z     
2025-07-24T04:20:35.7147760Z             >>> nnz = 3
2025-07-24T04:20:35.7147820Z             >>> dims = [5, 5, 2, 3]
2025-07-24T04:20:35.7147920Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-07-24T04:20:35.7148070Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-07-24T04:20:35.7148150Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-07-24T04:20:35.7148210Z             >>> size = torch.Size(dims)
2025-07-24T04:20:35.7148300Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:35.7148380Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-07-24T04:20:35.7148440Z             >>> S
2025-07-24T04:20:35.7148510Z             tensor(indices=tensor([[2, 0, 3],
2025-07-24T04:20:35.7148570Z                                    [2, 4, 1]]),
2025-07-24T04:20:35.7148680Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-07-24T04:20:35.7148750Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-07-24T04:20:35.7148800Z     
2025-07-24T04:20:35.7148900Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-07-24T04:20:35.7148980Z                                    [-0.7125, -1.0646,  2.1844]],
2025-07-24T04:20:35.7149020Z     
2025-07-24T04:20:35.7149090Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-07-24T04:20:35.7149160Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-07-24T04:20:35.7149260Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-07-24T04:20:35.7149300Z     
2025-07-24T04:20:35.7149420Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-07-24T04:20:35.7149490Z             >>> torch.sparse.sum(S, [1, 3])
2025-07-24T04:20:35.7149550Z             tensor(indices=tensor([[0, 2, 3]]),
2025-07-24T04:20:35.7149630Z                    values=tensor([[-1.4512,  0.4073],
2025-07-24T04:20:35.7149690Z                                   [-0.8901,  0.2017],
2025-07-24T04:20:35.7149760Z                                   [-0.3183, -1.7539]]),
2025-07-24T04:20:35.7149840Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-07-24T04:20:35.7149890Z     
2025-07-24T04:20:35.7149980Z             # when sum over all sparse dim, return a dense tensor
2025-07-24T04:20:35.7150050Z             # with summed dims squeezed
2025-07-24T04:20:35.7150110Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-07-24T04:20:35.7150170Z             tensor([-2.6596, -1.1450])
2025-07-24T04:20:35.7150210Z         
2025-07-24T04:20:35.7150360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7150400Z     
2025-07-24T04:20:35.7150460Z       warnings.warn(msg)
2025-07-24T04:20:35.7150500Z     
2025-07-24T04:20:35.7150600Z --- Parse Warning: 21 / 136 ---
2025-07-24T04:20:35.7151230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-07-24T04:20:35.7151380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7151430Z     
2025-07-24T04:20:35.7151560Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-07-24T04:20:35.7151690Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-07-24T04:20:35.7151820Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-07-24T04:20:35.7151880Z     vectorizing those operations.
2025-07-24T04:20:35.7151920Z     
2025-07-24T04:20:35.7152050Z     vmap is useful for handling batch dimensions: one can write a function
2025-07-24T04:20:35.7152170Z     ``func`` that runs on examples and then lift it to a function that can
2025-07-24T04:20:35.7152310Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-07-24T04:20:35.7152420Z     compute batched gradients when composed with autograd.
2025-07-24T04:20:35.7152460Z     
2025-07-24T04:20:35.7152500Z     .. note::
2025-07-24T04:20:35.7152640Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-07-24T04:20:35.7152730Z         convenience. Use whichever one you'd like.
2025-07-24T04:20:35.7152770Z     
2025-07-24T04:20:35.7152810Z     Args:
2025-07-24T04:20:35.7152940Z         func (function): A Python function that takes one or more arguments.
2025-07-24T04:20:35.7153010Z             Must return one or more Tensors.
2025-07-24T04:20:35.7153130Z         in_dims (int or nested structure): Specifies which dimension of the
2025-07-24T04:20:35.7153260Z             inputs should be mapped over. ``in_dims`` should have a
2025-07-24T04:20:35.7153380Z             structure like the inputs. If the ``in_dim`` for a particular
2025-07-24T04:20:35.7153510Z             input is None, then that indicates there is no map dimension.
2025-07-24T04:20:35.7153570Z             Default: 0.
2025-07-24T04:20:35.7153720Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-07-24T04:20:35.7153840Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-07-24T04:20:35.7153950Z             it should have one element per output. Default: 0.
2025-07-24T04:20:35.7154060Z         randomness (str): Specifies whether the randomness in this
2025-07-24T04:20:35.7154190Z             vmap should be the same or different across batches. If 'different',
2025-07-24T04:20:35.7154310Z             the randomness for each batch will be different. If 'same', the
2025-07-24T04:20:35.7154440Z             randomness will be the same across batches. If 'error', any calls to
2025-07-24T04:20:35.7154570Z             random functions will error. Default: 'error'. WARNING: this flag
2025-07-24T04:20:35.7154690Z             only applies to random PyTorch operations and does not apply to
2025-07-24T04:20:35.7154780Z             Python's random module or numpy randomness.
2025-07-24T04:20:35.7154930Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-07-24T04:20:35.7155080Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-07-24T04:20:35.7155250Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-07-24T04:20:35.7155420Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-07-24T04:20:35.7155460Z     
2025-07-24T04:20:35.7155510Z     Returns:
2025-07-24T04:20:35.7155630Z         Returns a new "batched" function. It takes the same inputs as
2025-07-24T04:20:35.7155760Z         ``func``, except each input has an extra dimension at the index
2025-07-24T04:20:35.7155880Z         specified by ``in_dims``. It takes returns the same outputs as
2025-07-24T04:20:35.7156010Z         ``func``, except each output has an extra dimension at the index
2025-07-24T04:20:35.7156070Z         specified by ``out_dims``.
2025-07-24T04:20:35.7156110Z     
2025-07-24T04:20:35.7156160Z     .. warning:
2025-07-24T04:20:35.7156280Z         :func:`vmap` works best with functional-style code. Please do not
2025-07-24T04:20:35.7156400Z         perform any side-effects in ``func``, with the exception of
2025-07-24T04:20:35.7156550Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-07-24T04:20:35.7156690Z         Python data structures and assigning values to variables not captured
2025-07-24T04:20:35.7156740Z         in ``func``.
2025-07-24T04:20:35.7156780Z     
2025-07-24T04:20:35.7156930Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-07-24T04:20:35.7157070Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-07-24T04:20:35.7157220Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-07-24T04:20:35.7157260Z     
2025-07-24T04:20:35.7157330Z         >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:35.7157470Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-07-24T04:20:35.7157550Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-07-24T04:20:35.7157660Z         >>> batched_dot(x, y)
2025-07-24T04:20:35.7157710Z     
2025-07-24T04:20:35.7157860Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-07-24T04:20:35.7157920Z     model authoring experience.
2025-07-24T04:20:35.7157970Z     
2025-07-24T04:20:35.7158040Z         >>> batch_size, feature_size = 3, 5
2025-07-24T04:20:35.7158160Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-07-24T04:20:35.7158240Z         >>>
2025-07-24T04:20:35.7158310Z         >>> def model(feature_vec):
2025-07-24T04:20:35.7158400Z         >>> # Very simple linear model with activation
2025-07-24T04:20:35.7158500Z         >>>     return feature_vec.dot(weights).relu()
2025-07-24T04:20:35.7158560Z         >>>
2025-07-24T04:20:35.7158660Z         >>> examples = torch.randn(batch_size, feature_size)
2025-07-24T04:20:35.7158770Z         >>> result = torch.vmap(model)(examples)
2025-07-24T04:20:35.7158820Z     
2025-07-24T04:20:35.7158980Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-07-24T04:20:35.7159130Z     or impossible to batch. One example is higher-order gradient computation.
2025-07-24T04:20:35.7159280Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-07-24T04:20:35.7159420Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-07-24T04:20:35.7159570Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-07-24T04:20:35.7159720Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-07-24T04:20:35.7159770Z     call to ``autograd.grad``.
2025-07-24T04:20:35.7159820Z     
2025-07-24T04:20:35.7159870Z         >>> # Setup
2025-07-24T04:20:35.7159910Z         >>> N = 5
2025-07-24T04:20:35.7159970Z         >>> f = lambda x: x**2
2025-07-24T04:20:35.7160050Z         >>> x = torch.randn(N, requires_grad=True)
2025-07-24T04:20:35.7160100Z         >>> y = f(x)
2025-07-24T04:20:35.7160150Z         >>> I_N = torch.eye(N)
2025-07-24T04:20:35.7160200Z         >>>
2025-07-24T04:20:35.7160260Z         >>> # Sequential approach
2025-07-24T04:20:35.7160400Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-07-24T04:20:35.7160470Z         >>>                  for v in I_N.unbind()]
2025-07-24T04:20:35.7160550Z         >>> jacobian = torch.stack(jacobian_rows)
2025-07-24T04:20:35.7160600Z         >>>
2025-07-24T04:20:35.7160670Z         >>> # vectorized gradient computation
2025-07-24T04:20:35.7160720Z         >>> def get_vjp(v):
2025-07-24T04:20:35.7160800Z         >>>     return torch.autograd.grad(y, x, v)
2025-07-24T04:20:35.7160880Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-07-24T04:20:35.7164710Z     
2025-07-24T04:20:35.7164890Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-07-24T04:20:35.7164930Z     
2025-07-24T04:20:35.7164990Z         >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:35.7165060Z         >>> batched_dot = torch.vmap(
2025-07-24T04:20:35.7165110Z         ...     torch.vmap(torch.dot)
2025-07-24T04:20:35.7165190Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-07-24T04:20:35.7165280Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-07-24T04:20:35.7165350Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-07-24T04:20:35.7165390Z     
2025-07-24T04:20:35.7165580Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-07-24T04:20:35.7165670Z     the dimension that each inputs are batched along as
2025-07-24T04:20:35.7165710Z     
2025-07-24T04:20:35.7165780Z         >>> torch.dot  # [N], [N] -> []
2025-07-24T04:20:35.7165920Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-07-24T04:20:35.7165990Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-07-24T04:20:35.7166040Z         >>> batched_dot(
2025-07-24T04:20:35.7166090Z         ...     x, y
2025-07-24T04:20:35.7166290Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-07-24T04:20:35.7166330Z     
2025-07-24T04:20:35.7166480Z     If there are multiple inputs each of which is batched along different dimensions,
2025-07-24T04:20:35.7166610Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-07-24T04:20:35.7166650Z     
2025-07-24T04:20:35.7166700Z         >>> torch.dot  # [D], [D] -> []
2025-07-24T04:20:35.7166850Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-07-24T04:20:35.7166950Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-07-24T04:20:35.7167000Z         >>> batched_dot(
2025-07-24T04:20:35.7167070Z         ...     x, y
2025-07-24T04:20:35.7167200Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-07-24T04:20:35.7167240Z     
2025-07-24T04:20:35.7167400Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-07-24T04:20:35.7167470Z     matching the shape of the input:
2025-07-24T04:20:35.7167510Z     
2025-07-24T04:20:35.7167600Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-07-24T04:20:35.7167670Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-07-24T04:20:35.7167730Z         >>> input = {"x": x, "y": y}
2025-07-24T04:20:35.7167840Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-07-24T04:20:35.7167890Z         >>> batched_dot(input)
2025-07-24T04:20:35.7167930Z     
2025-07-24T04:20:35.7168110Z     By default, the output is batched along the first dimension. However, it can be batched
2025-07-24T04:20:35.7168180Z     along any dimension by using ``out_dims``
2025-07-24T04:20:35.7168220Z     
2025-07-24T04:20:35.7168270Z         >>> f = lambda x: x**2
2025-07-24T04:20:35.7168330Z         >>> x = torch.randn(2, 5)
2025-07-24T04:20:35.7168410Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-07-24T04:20:35.7168460Z         >>> batched_pow(x)  # [5, 2]
2025-07-24T04:20:35.7168500Z     
2025-07-24T04:20:35.7168680Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-07-24T04:20:35.7168730Z     accept kwargs
2025-07-24T04:20:35.7168770Z     
2025-07-24T04:20:35.7168870Z         >>> x = torch.randn([2, 5])
2025-07-24T04:20:35.7168930Z         >>> def fn(x, scale=4.):
2025-07-24T04:20:35.7168980Z         >>>   return x * scale
2025-07-24T04:20:35.7169030Z         >>>
2025-07-24T04:20:35.7169090Z         >>> batched_pow = torch.vmap(fn)
2025-07-24T04:20:35.7169180Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-07-24T04:20:35.7169320Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-07-24T04:20:35.7169360Z     
2025-07-24T04:20:35.7169410Z     .. note::
2025-07-24T04:20:35.7169550Z         vmap does not provide general autobatching or handle variable-length
2025-07-24T04:20:35.7169600Z         sequences out of the box.
2025-07-24T04:20:35.7169650Z     
2025-07-24T04:20:35.7169800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7169840Z     
2025-07-24T04:20:35.7169890Z       warnings.warn(msg)
2025-07-24T04:20:35.7169930Z     
2025-07-24T04:20:35.7170100Z --- Parse Warning: 22 / 136 ---
2025-07-24T04:20:35.7170740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-07-24T04:20:35.7170890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7171040Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-07-24T04:20:35.7171160Z         input(s) specified by ``argnums``. This operator can be nested to
2025-07-24T04:20:35.7171230Z         compute higher-order gradients.
2025-07-24T04:20:35.7171300Z     
2025-07-24T04:20:35.7171350Z         Args:
2025-07-24T04:20:35.7171470Z             func (Callable): A Python function that takes one or more arguments.
2025-07-24T04:20:35.7171640Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-07-24T04:20:35.7171800Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-07-24T04:20:35.7171860Z                 ``(output, aux)``.
2025-07-24T04:20:35.7172050Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-07-24T04:20:35.7172180Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-07-24T04:20:35.7172340Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-07-24T04:20:35.7172440Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-07-24T04:20:35.7172520Z     
2025-07-24T04:20:35.7172570Z         Returns:
2025-07-24T04:20:35.7172740Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-07-24T04:20:35.7172890Z             the function is the gradient tensor(s) with respect to the first argument.
2025-07-24T04:20:35.7173050Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-07-24T04:20:35.7173210Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-07-24T04:20:35.7173300Z             respect to each ``argnums`` value is returned.
2025-07-24T04:20:35.7173340Z     
2025-07-24T04:20:35.7173400Z         Example of using ``grad``:
2025-07-24T04:20:35.7173440Z     
2025-07-24T04:20:35.7173500Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7173560Z             >>> from torch.func import grad
2025-07-24T04:20:35.7173620Z             >>> x = torch.randn([])
2025-07-24T04:20:35.7173700Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-07-24T04:20:35.7173780Z             >>> assert torch.allclose(cos_x, x.cos())
2025-07-24T04:20:35.7173830Z             >>>
2025-07-24T04:20:35.7173890Z             >>> # Second-order gradients
2025-07-24T04:20:35.7173990Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-07-24T04:20:35.7174070Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-07-24T04:20:35.7174110Z     
2025-07-24T04:20:35.7174270Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-07-24T04:20:35.7174320Z     
2025-07-24T04:20:35.7174370Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7174450Z             >>> from torch.func import grad, vmap
2025-07-24T04:20:35.7174510Z             >>> batch_size, feature_size = 3, 5
2025-07-24T04:20:35.7174560Z             >>>
2025-07-24T04:20:35.7174630Z             >>> def model(weights, feature_vec):
2025-07-24T04:20:35.7174710Z             >>> # Very simple linear model with activation
2025-07-24T04:20:35.7174780Z             >>>     assert feature_vec.dim() == 1
2025-07-24T04:20:35.7174860Z             >>>     return feature_vec.dot(weights).relu()
2025-07-24T04:20:35.7174910Z             >>>
2025-07-24T04:20:35.7174990Z             >>> def compute_loss(weights, example, target):
2025-07-24T04:20:35.7175060Z             >>>     y = model(weights, example)
2025-07-24T04:20:35.7175140Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-07-24T04:20:35.7175190Z             >>>
2025-07-24T04:20:35.7175310Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-07-24T04:20:35.7175400Z             >>> examples = torch.randn(batch_size, feature_size)
2025-07-24T04:20:35.7175480Z             >>> targets = torch.randn(batch_size)
2025-07-24T04:20:35.7175560Z             >>> inputs = (weights, examples, targets)
2025-07-24T04:20:35.7175700Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-07-24T04:20:35.7175750Z             ...     *inputs
2025-07-24T04:20:35.7175840Z             ... )
2025-07-24T04:20:35.7175880Z     
2025-07-24T04:20:35.7175990Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-07-24T04:20:35.7176030Z     
2025-07-24T04:20:35.7176080Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7176150Z             >>> from torch.func import grad
2025-07-24T04:20:35.7176220Z             >>> def my_loss_func(y, y_pred):
2025-07-24T04:20:35.7176300Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-07-24T04:20:35.7176390Z             >>>    loss = loss_per_sample.mean()
2025-07-24T04:20:35.7176470Z             >>>    return loss, (y_pred, loss_per_sample)
2025-07-24T04:20:35.7176510Z             >>>
2025-07-24T04:20:35.7176630Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-07-24T04:20:35.7176690Z             >>> y_true = torch.rand(4)
2025-07-24T04:20:35.7176800Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-07-24T04:20:35.7176860Z             >>> out = fn(y_true, y_preds)
2025-07-24T04:20:35.7177020Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-07-24T04:20:35.7177060Z     
2025-07-24T04:20:35.7177100Z         .. note::
2025-07-24T04:20:35.7177210Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-07-24T04:20:35.7177250Z     
2025-07-24T04:20:35.7177330Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-07-24T04:20:35.7177380Z     
2025-07-24T04:20:35.7177430Z                 >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7177490Z                 >>> def f(x):
2025-07-24T04:20:35.7177550Z                 >>>     with torch.no_grad():
2025-07-24T04:20:35.7177610Z                 >>>         c = x ** 2
2025-07-24T04:20:35.7177660Z                 >>>     return x - c
2025-07-24T04:20:35.7177700Z     
2025-07-24T04:20:35.7177820Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-07-24T04:20:35.7177870Z     
2025-07-24T04:20:35.7177980Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-07-24T04:20:35.7178020Z     
2025-07-24T04:20:35.7178080Z                 >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7178140Z                 >>> with torch.no_grad():
2025-07-24T04:20:35.7178200Z                 >>>     grad(f)(x)
2025-07-24T04:20:35.7178230Z     
2025-07-24T04:20:35.7178370Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-07-24T04:20:35.7178510Z             outer one. This is because ``grad`` is a "function transform": its result
2025-07-24T04:20:35.7178660Z             should not depend on the result of a context manager outside of ``f``.
2025-07-24T04:20:35.7178700Z     
2025-07-24T04:20:35.7178750Z         
2025-07-24T04:20:35.7178910Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7178950Z     
2025-07-24T04:20:35.7179010Z       warnings.warn(msg)
2025-07-24T04:20:35.7179050Z     
2025-07-24T04:20:35.7179160Z --- Parse Warning: 23 / 136 ---
2025-07-24T04:20:35.7179860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-07-24T04:20:35.7180020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7180060Z     
2025-07-24T04:20:35.7180200Z     Test if two objects are equal, and print an error message if test fails.
2025-07-24T04:20:35.7180240Z     
2025-07-24T04:20:35.7180330Z     The test is performed with ``actual == desired``.
2025-07-24T04:20:35.7180380Z     
2025-07-24T04:20:35.7180430Z     Parameters
2025-07-24T04:20:35.7180470Z     ----------
2025-07-24T04:20:35.7180520Z     test_string : str
2025-07-24T04:20:35.7180600Z         The message supplied to AssertionError.
2025-07-24T04:20:35.7180650Z     actual : object
2025-07-24T04:20:35.7180780Z         The object to test for equality against `desired`.
2025-07-24T04:20:35.7180830Z     desired : object
2025-07-24T04:20:35.7180900Z         The expected result.
2025-07-24T04:20:35.7180940Z     
2025-07-24T04:20:35.7180980Z     Examples
2025-07-24T04:20:35.7181030Z     --------
2025-07-24T04:20:35.7181100Z     >>> np.testing.print_assert_equal(
2025-07-24T04:20:35.7181170Z     ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-07-24T04:20:35.7181370Z     ... )  # doctest: +SKIP
2025-07-24T04:20:35.7181440Z     >>> np.testing.print_assert_equal(
2025-07-24T04:20:35.7181510Z     ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-07-24T04:20:35.7181570Z     ... )  # doctest: +SKIP
2025-07-24T04:20:35.7181650Z     Traceback (most recent call last):
2025-07-24T04:20:35.7181690Z     ...
2025-07-24T04:20:35.7181770Z     AssertionError: Test XYZ of func xyz failed
2025-07-24T04:20:35.7181840Z     ACTUAL:
2025-07-24T04:20:35.7181880Z     [0, 1]
2025-07-24T04:20:35.7181930Z     DESIRED:
2025-07-24T04:20:35.7181970Z     [0, 2]
2025-07-24T04:20:35.7182010Z     
2025-07-24T04:20:35.7182050Z     
2025-07-24T04:20:35.7182210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7182250Z     
2025-07-24T04:20:35.7182300Z       warnings.warn(msg)
2025-07-24T04:20:35.7182340Z     
2025-07-24T04:20:35.7182450Z --- Parse Warning: 24 / 136 ---
2025-07-24T04:20:35.7183130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-07-24T04:20:35.7183280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7183330Z     
2025-07-24T04:20:35.7183450Z     Raises an AssertionError if two items are not equal up to desired
2025-07-24T04:20:35.7183500Z     precision.
2025-07-24T04:20:35.7183540Z     
2025-07-24T04:20:35.7183650Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:35.7183760Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:35.7183880Z               instead of this function for more consistent floating point
2025-07-24T04:20:35.7183930Z               comparisons.
2025-07-24T04:20:35.7183970Z     
2025-07-24T04:20:35.7184110Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-07-24T04:20:35.7184150Z     
2025-07-24T04:20:35.7184250Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-07-24T04:20:35.7184300Z     
2025-07-24T04:20:35.7184440Z     That is a looser test than originally documented, but agrees with what the
2025-07-24T04:20:35.7184590Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-07-24T04:20:35.7184750Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-07-24T04:20:35.7184830Z     delegates to assert_array_almost_equal
2025-07-24T04:20:35.7184880Z     
2025-07-24T04:20:35.7184920Z     Parameters
2025-07-24T04:20:35.7184970Z     ----------
2025-07-24T04:20:35.7185020Z     actual : array_like
2025-07-24T04:20:35.7185080Z         The object to check.
2025-07-24T04:20:35.7185140Z     desired : array_like
2025-07-24T04:20:35.7185200Z         The expected object.
2025-07-24T04:20:35.7185250Z     decimal : int, optional
2025-07-24T04:20:35.7185320Z         Desired precision, default is 7.
2025-07-24T04:20:35.7185370Z     err_msg : str, optional
2025-07-24T04:20:35.7185470Z         The error message to be printed in case of failure.
2025-07-24T04:20:35.7185530Z     verbose : bool, optional
2025-07-24T04:20:35.7185660Z         If True, the conflicting values are appended to the error message.
2025-07-24T04:20:35.7185700Z     
2025-07-24T04:20:35.7185750Z     Raises
2025-07-24T04:20:35.7185800Z     ------
2025-07-24T04:20:35.7185850Z     AssertionError
2025-07-24T04:20:35.7186010Z       If actual and desired are not equal up to specified precision.
2025-07-24T04:20:35.7186050Z     
2025-07-24T04:20:35.7186090Z     See Also
2025-07-24T04:20:35.7186140Z     --------
2025-07-24T04:20:35.7186290Z     assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:35.7186360Z                      relative and/or absolute precision.
2025-07-24T04:20:35.7186490Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:35.7186550Z     
2025-07-24T04:20:35.7186600Z     Examples
2025-07-24T04:20:35.7186640Z     --------
2025-07-24T04:20:35.7186740Z     >>> from torch._numpy.testing import assert_almost_equal
2025-07-24T04:20:35.7186880Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-07-24T04:20:35.7186990Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-07-24T04:20:35.7187070Z     Traceback (most recent call last):
2025-07-24T04:20:35.7187110Z         ...
2025-07-24T04:20:35.7187160Z     AssertionError:
2025-07-24T04:20:35.7187230Z     Arrays are not almost equal to 10 decimals
2025-07-24T04:20:35.7187280Z      ACTUAL: 2.3333333333333
2025-07-24T04:20:35.7187340Z      DESIRED: 2.33333334
2025-07-24T04:20:35.7187370Z     
2025-07-24T04:20:35.7187430Z     >>> assert_almost_equal(
2025-07-24T04:20:35.7187550Z     ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-07-24T04:20:35.7187600Z     ... )
2025-07-24T04:20:35.7187660Z     Traceback (most recent call last):
2025-07-24T04:20:35.7187700Z         ...
2025-07-24T04:20:35.7187750Z     AssertionError:
2025-07-24T04:20:35.7187820Z     Arrays are not almost equal to 9 decimals
2025-07-24T04:20:35.7187860Z     <BLANKLINE>
2025-07-24T04:20:35.7187920Z     Mismatched elements: 1 / 2 (50%)
2025-07-24T04:20:35.7188000Z     Max absolute difference: 6.666699636781459e-09
2025-07-24T04:20:35.7188080Z     Max relative difference: 2.8571569790287484e-09
2025-07-24T04:20:35.7188170Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-07-24T04:20:35.7188250Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-07-24T04:20:35.7188290Z     
2025-07-24T04:20:35.7188330Z     
2025-07-24T04:20:35.7188490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7188520Z     
2025-07-24T04:20:35.7188580Z       warnings.warn(msg)
2025-07-24T04:20:35.7188620Z     
2025-07-24T04:20:35.7188720Z --- Parse Warning: 25 / 136 ---
2025-07-24T04:20:35.7189400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-07-24T04:20:35.7189560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7189600Z     
2025-07-24T04:20:35.7189730Z     Raises an AssertionError if two items are not equal up to significant
2025-07-24T04:20:35.7189780Z     digits.
2025-07-24T04:20:35.7189820Z     
2025-07-24T04:20:35.7189930Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:35.7190040Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:35.7190150Z               instead of this function for more consistent floating point
2025-07-24T04:20:35.7190210Z               comparisons.
2025-07-24T04:20:35.7190260Z     
2025-07-24T04:20:35.7190370Z     Given two numbers, check that they are approximately equal.
2025-07-24T04:20:35.7190510Z     Approximately equal is defined as the number of significant digits
2025-07-24T04:20:35.7190550Z     that agree.
2025-07-24T04:20:35.7190590Z     
2025-07-24T04:20:35.7190640Z     Parameters
2025-07-24T04:20:35.7190680Z     ----------
2025-07-24T04:20:35.7190730Z     actual : scalar
2025-07-24T04:20:35.7190780Z         The object to check.
2025-07-24T04:20:35.7190830Z     desired : scalar
2025-07-24T04:20:35.7190920Z         The expected object.
2025-07-24T04:20:35.7190980Z     significant : int, optional
2025-07-24T04:20:35.7191040Z         Desired precision, default is 7.
2025-07-24T04:20:35.7191100Z     err_msg : str, optional
2025-07-24T04:20:35.7191190Z         The error message to be printed in case of failure.
2025-07-24T04:20:35.7191250Z     verbose : bool, optional
2025-07-24T04:20:35.7191370Z         If True, the conflicting values are appended to the error message.
2025-07-24T04:20:35.7191440Z     
2025-07-24T04:20:35.7191480Z     Raises
2025-07-24T04:20:35.7191520Z     ------
2025-07-24T04:20:35.7191570Z     AssertionError
2025-07-24T04:20:35.7191710Z       If actual and desired are not equal up to specified precision.
2025-07-24T04:20:35.7191750Z     
2025-07-24T04:20:35.7191800Z     See Also
2025-07-24T04:20:35.7191840Z     --------
2025-07-24T04:20:35.7192010Z     assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:35.7192100Z                      relative and/or absolute precision.
2025-07-24T04:20:35.7192230Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:35.7192270Z     
2025-07-24T04:20:35.7192320Z     Examples
2025-07-24T04:20:35.7192360Z     --------
2025-07-24T04:20:35.7192430Z     >>> np.testing.assert_approx_equal(
2025-07-24T04:20:35.7192490Z     ...     0.12345677777777e-20, 0.1234567e-20
2025-07-24T04:20:35.7192540Z     ... )  # doctest: +SKIP
2025-07-24T04:20:35.7192610Z     >>> np.testing.assert_approx_equal(
2025-07-24T04:20:35.7192650Z     ...     0.12345670e-20,
2025-07-24T04:20:35.7192720Z     ...     0.12345671e-20,  # doctest: +SKIP
2025-07-24T04:20:35.7192770Z     ...     significant=8,
2025-07-24T04:20:35.7192810Z     ... )
2025-07-24T04:20:35.7192880Z     >>> np.testing.assert_approx_equal(
2025-07-24T04:20:35.7192920Z     ...     0.12345670e-20,
2025-07-24T04:20:35.7192990Z     ...     0.12345672e-20,  # doctest: +SKIP
2025-07-24T04:20:35.7193040Z     ...     significant=8,
2025-07-24T04:20:35.7193080Z     ... )
2025-07-24T04:20:35.7193150Z     Traceback (most recent call last):
2025-07-24T04:20:35.7193190Z         ...
2025-07-24T04:20:35.7193240Z     AssertionError:
2025-07-24T04:20:35.7193310Z     Items are not equal to 8 significant digits:
2025-07-24T04:20:35.7193360Z      ACTUAL: 1.234567e-21
2025-07-24T04:20:35.7193410Z      DESIRED: 1.2345672e-21
2025-07-24T04:20:35.7193450Z     
2025-07-24T04:20:35.7193550Z     the evaluated condition that raises the exception is
2025-07-24T04:20:35.7193590Z     
2025-07-24T04:20:35.7193710Z     >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-07-24T04:20:35.7193750Z     True
2025-07-24T04:20:35.7193790Z     
2025-07-24T04:20:35.7193830Z     
2025-07-24T04:20:35.7193980Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7194020Z     
2025-07-24T04:20:35.7194080Z       warnings.warn(msg)
2025-07-24T04:20:35.7194120Z     
2025-07-24T04:20:35.7194220Z --- Parse Warning: 26 / 136 ---
2025-07-24T04:20:35.7194890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-07-24T04:20:35.7195040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7195080Z     
2025-07-24T04:20:35.7195220Z     Raises an AssertionError if two array_like objects are not equal.
2025-07-24T04:20:35.7195260Z     
2025-07-24T04:20:35.7195380Z     Given two array_like objects, check that the shape is equal and all
2025-07-24T04:20:35.7195510Z     elements of these objects are equal (but see the Notes for the special
2025-07-24T04:20:35.7195640Z     handling of a scalar). An exception is raised at shape mismatch or
2025-07-24T04:20:35.7195770Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-07-24T04:20:35.7195920Z     are compared like numbers, no assertion is raised if both objects have
2025-07-24T04:20:35.7195980Z     NaNs in the same positions.
2025-07-24T04:20:35.7196020Z     
2025-07-24T04:20:35.7196160Z     The usual caution for verifying equality with floating point numbers is
2025-07-24T04:20:35.7196200Z     advised.
2025-07-24T04:20:35.7196240Z     
2025-07-24T04:20:35.7196290Z     Parameters
2025-07-24T04:20:35.7196350Z     ----------
2025-07-24T04:20:35.7196400Z     x : array_like
2025-07-24T04:20:35.7196460Z         The actual object to check.
2025-07-24T04:20:35.7196500Z     y : array_like
2025-07-24T04:20:35.7196560Z         The desired, expected object.
2025-07-24T04:20:35.7196650Z     err_msg : str, optional
2025-07-24T04:20:35.7196750Z         The error message to be printed in case of failure.
2025-07-24T04:20:35.7196810Z     verbose : bool, optional
2025-07-24T04:20:35.7196950Z         If True, the conflicting values are appended to the error message.
2025-07-24T04:20:35.7197020Z     strict : bool, optional
2025-07-24T04:20:35.7197140Z         If True, raise an AssertionError when either the shape or the data
2025-07-24T04:20:35.7197250Z         type of the array_like objects does not match. The special
2025-07-24T04:20:35.7197370Z         handling for scalars mentioned in the Notes section is disabled.
2025-07-24T04:20:35.7197410Z     
2025-07-24T04:20:35.7197450Z     Raises
2025-07-24T04:20:35.7197500Z     ------
2025-07-24T04:20:35.7197540Z     AssertionError
2025-07-24T04:20:35.7197630Z         If actual and desired objects are not equal.
2025-07-24T04:20:35.7197670Z     
2025-07-24T04:20:35.7197710Z     See Also
2025-07-24T04:20:35.7197750Z     --------
2025-07-24T04:20:35.7197900Z     assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:35.7197980Z                      relative and/or absolute precision.
2025-07-24T04:20:35.7198100Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:35.7198150Z     
2025-07-24T04:20:35.7198190Z     Notes
2025-07-24T04:20:35.7198230Z     -----
2025-07-24T04:20:35.7198340Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-07-24T04:20:35.7198470Z     function checks that each element of the array_like object is equal to
2025-07-24T04:20:35.7198610Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-07-24T04:20:35.7198650Z     
2025-07-24T04:20:35.7198690Z     Examples
2025-07-24T04:20:35.7198740Z     --------
2025-07-24T04:20:35.7198820Z     The first assert does not raise an exception:
2025-07-24T04:20:35.7198860Z     
2025-07-24T04:20:35.7198920Z     >>> np.testing.assert_array_equal(
2025-07-24T04:20:35.7199010Z     ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-07-24T04:20:35.7199060Z     ... )
2025-07-24T04:20:35.7199100Z     
2025-07-24T04:20:35.7199230Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-07-24T04:20:35.7199300Z     functions for these cases instead:
2025-07-24T04:20:35.7199340Z     
2025-07-24T04:20:35.7199400Z     >>> np.testing.assert_allclose(
2025-07-24T04:20:35.7199520Z     ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-07-24T04:20:35.7199560Z     ... )
2025-07-24T04:20:35.7199600Z     
2025-07-24T04:20:35.7199730Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-07-24T04:20:35.7199860Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-07-24T04:20:35.7199900Z     
2025-07-24T04:20:35.7199960Z     >>> x = np.full((2, 5), fill_value=3)
2025-07-24T04:20:35.7200030Z     >>> np.testing.assert_array_equal(x, 3)
2025-07-24T04:20:35.7200070Z     
2025-07-24T04:20:35.7200200Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-07-24T04:20:35.7200240Z     array:
2025-07-24T04:20:35.7200290Z     
2025-07-24T04:20:35.7200380Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-07-24T04:20:35.7200470Z     Traceback (most recent call last):
2025-07-24T04:20:35.7200510Z         ...
2025-07-24T04:20:35.7200560Z     AssertionError:
2025-07-24T04:20:35.7200610Z     Arrays are not equal
2025-07-24T04:20:35.7200650Z     <BLANKLINE>
2025-07-24T04:20:35.7200710Z     (shapes (2, 5), () mismatch)
2025-07-24T04:20:35.7200770Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-07-24T04:20:35.7200820Z             [3, 3, 3, 3, 3]])
2025-07-24T04:20:35.7200870Z      y: torch.ndarray(3)
2025-07-24T04:20:35.7200950Z     
2025-07-24T04:20:35.7201080Z     The `strict` parameter also ensures that the array data types match:
2025-07-24T04:20:35.7201120Z     
2025-07-24T04:20:35.7201170Z     >>> x = np.array([2, 2, 2])
2025-07-24T04:20:35.7201270Z     >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-07-24T04:20:35.7201360Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-07-24T04:20:35.7201440Z     Traceback (most recent call last):
2025-07-24T04:20:35.7201490Z         ...
2025-07-24T04:20:35.7201530Z     AssertionError:
2025-07-24T04:20:35.7201590Z     Arrays are not equal
2025-07-24T04:20:35.7201630Z     <BLANKLINE>
2025-07-24T04:20:35.7201720Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-07-24T04:20:35.7201780Z      x: torch.ndarray([2, 2, 2])
2025-07-24T04:20:35.7201830Z      y: torch.ndarray([2., 2., 2.])
2025-07-24T04:20:35.7201870Z     
2025-07-24T04:20:35.7202030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7202070Z     
2025-07-24T04:20:35.7202120Z       warnings.warn(msg)
2025-07-24T04:20:35.7202160Z     
2025-07-24T04:20:35.7202270Z --- Parse Warning: 27 / 136 ---
2025-07-24T04:20:35.7202990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-07-24T04:20:35.7203150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7203190Z     
2025-07-24T04:20:35.7203320Z     Raises an AssertionError if two objects are not equal up to desired
2025-07-24T04:20:35.7203370Z     precision.
2025-07-24T04:20:35.7203410Z     
2025-07-24T04:20:35.7203510Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-07-24T04:20:35.7203620Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-07-24T04:20:35.7203740Z               instead of this function for more consistent floating point
2025-07-24T04:20:35.7203790Z               comparisons.
2025-07-24T04:20:35.7203830Z     
2025-07-24T04:20:35.7203980Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-07-24T04:20:35.7204030Z     ``desired`` satisfy.
2025-07-24T04:20:35.7204070Z     
2025-07-24T04:20:35.7204150Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-07-24T04:20:35.7204190Z     
2025-07-24T04:20:35.7204330Z     That is a looser test than originally documented, but agrees with what the
2025-07-24T04:20:35.7204470Z     actual implementation did up to rounding vagaries. An exception is raised
2025-07-24T04:20:35.7204610Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-07-24T04:20:35.7204750Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-07-24T04:20:35.7204820Z     objects have NaNs in the same positions.
2025-07-24T04:20:35.7204860Z     
2025-07-24T04:20:35.7204900Z     Parameters
2025-07-24T04:20:35.7204950Z     ----------
2025-07-24T04:20:35.7204990Z     x : array_like
2025-07-24T04:20:35.7205050Z         The actual object to check.
2025-07-24T04:20:35.7205100Z     y : array_like
2025-07-24T04:20:35.7205160Z         The desired, expected object.
2025-07-24T04:20:35.7205210Z     decimal : int, optional
2025-07-24T04:20:35.7205280Z         Desired precision, default is 6.
2025-07-24T04:20:35.7205330Z     err_msg : str, optional
2025-07-24T04:20:35.7205470Z       The error message to be printed in case of failure.
2025-07-24T04:20:35.7205530Z     verbose : bool, optional
2025-07-24T04:20:35.7205650Z         If True, the conflicting values are appended to the error message.
2025-07-24T04:20:35.7205690Z     
2025-07-24T04:20:35.7205730Z     Raises
2025-07-24T04:20:35.7205780Z     ------
2025-07-24T04:20:35.7205830Z     AssertionError
2025-07-24T04:20:35.7205940Z         If actual and desired are not equal up to specified precision.
2025-07-24T04:20:35.7206010Z     
2025-07-24T04:20:35.7206050Z     See Also
2025-07-24T04:20:35.7206090Z     --------
2025-07-24T04:20:35.7206260Z     assert_allclose: Compare two array_like objects for equality with desired
2025-07-24T04:20:35.7206350Z                      relative and/or absolute precision.
2025-07-24T04:20:35.7206470Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-07-24T04:20:35.7206530Z     
2025-07-24T04:20:35.7206580Z     Examples
2025-07-24T04:20:35.7206620Z     --------
2025-07-24T04:20:35.7206710Z     the first assert does not raise an exception
2025-07-24T04:20:35.7206750Z     
2025-07-24T04:20:35.7206900Z     >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-07-24T04:20:35.7206940Z     
2025-07-24T04:20:35.7207020Z     >>> np.testing.assert_array_almost_equal(
2025-07-24T04:20:35.7207110Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-07-24T04:20:35.7207150Z     ... )
2025-07-24T04:20:35.7207220Z     Traceback (most recent call last):
2025-07-24T04:20:35.7207260Z         ...
2025-07-24T04:20:35.7207310Z     AssertionError:
2025-07-24T04:20:35.7207380Z     Arrays are not almost equal to 5 decimals
2025-07-24T04:20:35.7207420Z     <BLANKLINE>
2025-07-24T04:20:35.7207480Z     Mismatched elements: 1 / 3 (33.3%)
2025-07-24T04:20:35.7207560Z     Max absolute difference: 5.999999999994898e-05
2025-07-24T04:20:35.7207640Z     Max relative difference: 2.5713661239633743e-05
2025-07-24T04:20:35.7207740Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-07-24T04:20:35.7207840Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-07-24T04:20:35.7207880Z     
2025-07-24T04:20:35.7207950Z     >>> np.testing.assert_array_almost_equal(
2025-07-24T04:20:35.7210970Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-07-24T04:20:35.7211020Z     ... )
2025-07-24T04:20:35.7211090Z     Traceback (most recent call last):
2025-07-24T04:20:35.7211150Z         ...
2025-07-24T04:20:35.7211200Z     AssertionError:
2025-07-24T04:20:35.7211270Z     Arrays are not almost equal to 5 decimals
2025-07-24T04:20:35.7211320Z     <BLANKLINE>
2025-07-24T04:20:35.7211380Z     x and y nan location mismatch:
2025-07-24T04:20:35.7211480Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-07-24T04:20:35.7211570Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-07-24T04:20:35.7211610Z     
2025-07-24T04:20:35.7211650Z     
2025-07-24T04:20:35.7211810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7211850Z     
2025-07-24T04:20:35.7211900Z       warnings.warn(msg)
2025-07-24T04:20:35.7211940Z     
2025-07-24T04:20:35.7212070Z --- Parse Warning: 28 / 136 ---
2025-07-24T04:20:35.7212790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-07-24T04:20:35.7212950Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7213080Z     Context manager that resets warning registry for catching warnings
2025-07-24T04:20:35.7213130Z     
2025-07-24T04:20:35.7213280Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-07-24T04:20:35.7213410Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-07-24T04:20:35.7213630Z         it impossible to retrigger the warning in this module, whatever you put in
2025-07-24T04:20:35.7213780Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-07-24T04:20:35.7213870Z         as a keyword argument to its constructor and:
2025-07-24T04:20:35.7213910Z     
2025-07-24T04:20:35.7214050Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-07-24T04:20:35.7214120Z           on entry;
2025-07-24T04:20:35.7214240Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-07-24T04:20:35.7214280Z     
2025-07-24T04:20:35.7214440Z         This makes it possible to trigger any warning afresh inside the context
2025-07-24T04:20:35.7214560Z         manager without disturbing the state of warnings outside.
2025-07-24T04:20:35.7214640Z     
2025-07-24T04:20:35.7214790Z         For compatibility with Python 3.0, please consider all arguments to be
2025-07-24T04:20:35.7214840Z         keyword-only.
2025-07-24T04:20:35.7214890Z     
2025-07-24T04:20:35.7214940Z         Parameters
2025-07-24T04:20:35.7214980Z         ----------
2025-07-24T04:20:35.7215040Z         record : bool, optional
2025-07-24T04:20:35.7215150Z             Specifies whether warnings should be captured by a custom
2025-07-24T04:20:35.7215300Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-07-24T04:20:35.7215420Z             returned by the context manager. Otherwise None is returned by the
2025-07-24T04:20:35.7215560Z             context manager. The objects appended to the list are arguments whose
2025-07-24T04:20:35.7215660Z             attributes mirror the arguments to ``showwarning()``.
2025-07-24T04:20:35.7215720Z         modules : sequence, optional
2025-07-24T04:20:35.7215860Z             Sequence of modules for which to reset warnings registry on entry and
2025-07-24T04:20:35.7215980Z             restore on exit. To work correctly, all 'ignore' filters should
2025-07-24T04:20:35.7216040Z             filter by one of these modules.
2025-07-24T04:20:35.7216090Z     
2025-07-24T04:20:35.7216130Z         Examples
2025-07-24T04:20:35.7216170Z         --------
2025-07-24T04:20:35.7216220Z         >>> import warnings
2025-07-24T04:20:35.7216340Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-07-24T04:20:35.7216410Z         ...     modules=[np.core.fromnumeric]
2025-07-24T04:20:35.7216450Z         ... ):
2025-07-24T04:20:35.7216520Z         ...     warnings.simplefilter("always")
2025-07-24T04:20:35.7216660Z         ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-07-24T04:20:35.7216770Z         ...     # do something that raises a warning but ignore those in
2025-07-24T04:20:35.7216830Z         ...     # np.core.fromnumeric
2025-07-24T04:20:35.7216870Z         
2025-07-24T04:20:35.7217020Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7217070Z     
2025-07-24T04:20:35.7217120Z       warnings.warn(msg)
2025-07-24T04:20:35.7217160Z     
2025-07-24T04:20:35.7217260Z --- Parse Warning: 29 / 136 ---
2025-07-24T04:20:35.7217900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-07-24T04:20:35.7218060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7218200Z     Return the recommended gain value for the given nonlinearity function.
2025-07-24T04:20:35.7218240Z     
2025-07-24T04:20:35.7218300Z         The values are as follows:
2025-07-24T04:20:35.7218340Z     
2025-07-24T04:20:35.7218410Z         ================= ====================================================
2025-07-24T04:20:35.7218470Z         nonlinearity      gain
2025-07-24T04:20:35.7218570Z         ================= ====================================================
2025-07-24T04:20:35.7218630Z         Linear / Identity :math:`1`
2025-07-24T04:20:35.7218680Z         Conv{1,2,3}D      :math:`1`
2025-07-24T04:20:35.7218740Z         Sigmoid           :math:`1`
2025-07-24T04:20:35.7218800Z         Tanh              :math:`\frac{5}{3}`
2025-07-24T04:20:35.7218860Z         ReLU              :math:`\sqrt{2}`
2025-07-24T04:20:35.7218990Z         Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-07-24T04:20:35.7219060Z         SELU              :math:`\frac{3}{4}`
2025-07-24T04:20:35.7219150Z         ================= ====================================================
2025-07-24T04:20:35.7219200Z     
2025-07-24T04:20:35.7219290Z         .. warning::
2025-07-24T04:20:35.7219430Z             In order to implement `Self-Normalizing Neural Networks`_ ,
2025-07-24T04:20:35.7219580Z             you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-07-24T04:20:35.7219680Z             This gives the initial weights a variance of ``1 / N``,
2025-07-24T04:20:35.7219820Z             which is necessary to induce a stable fixed point in the forward pass.
2025-07-24T04:20:35.7219960Z             In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-07-24T04:20:35.7220070Z             effect for more stable gradient flow in rectangular layers.
2025-07-24T04:20:35.7220110Z     
2025-07-24T04:20:35.7220160Z         Args:
2025-07-24T04:20:35.7220280Z             nonlinearity: the non-linear function (`nn.functional` name)
2025-07-24T04:20:35.7220380Z             param: optional parameter for the non-linear function
2025-07-24T04:20:35.7220420Z     
2025-07-24T04:20:35.7220470Z         Examples:
2025-07-24T04:20:35.7220540Z             >>> gain = nn.init.calculate_gain(
2025-07-24T04:20:35.7220600Z             ...     "leaky_relu", 0.2
2025-07-24T04:20:35.7220680Z             ... )  # leaky_relu with negative_slope=0.2
2025-07-24T04:20:35.7220720Z     
2025-07-24T04:20:35.7221010Z         .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-07-24T04:20:35.7221060Z         
2025-07-24T04:20:35.7221210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7221250Z     
2025-07-24T04:20:35.7221300Z       warnings.warn(msg)
2025-07-24T04:20:35.7221340Z     
2025-07-24T04:20:35.7221450Z --- Parse Warning: 30 / 136 ---
2025-07-24T04:20:35.7222160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-07-24T04:20:35.7222320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7222370Z     
2025-07-24T04:20:35.7222510Z     Context manager for training with uneven inputs across processes in DDP.
2025-07-24T04:20:35.7222550Z     
2025-07-24T04:20:35.7222680Z     This context manager will keep track of already-joined DDP processes,
2025-07-24T04:20:35.7222810Z     and "shadow" the forward and backward passes by inserting collective
2025-07-24T04:20:35.7222950Z     communication operations to match with the ones created by non-joined
2025-07-24T04:20:35.7223090Z     DDP processes. This will ensure each collective call has a corresponding
2025-07-24T04:20:35.7223220Z     call by already-joined DDP processes, preventing hangs or errors that
2025-07-24T04:20:35.7223350Z     would otherwise happen when training with uneven inputs across
2025-07-24T04:20:35.7223490Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-07-24T04:20:35.7223620Z     specified to be ``True``, all trainers will throw an error once one rank
2025-07-24T04:20:35.7223770Z     runs out of inputs, allowing these errors to be caught and handled
2025-07-24T04:20:35.7223840Z     according to application logic.
2025-07-24T04:20:35.7223880Z     
2025-07-24T04:20:35.7224010Z     Once all DDP processes have joined, the context manager will broadcast
2025-07-24T04:20:35.7224140Z     the model corresponding to the last joined process to all processes to
2025-07-24T04:20:35.7224240Z     ensure the model is the same across all processes
2025-07-24T04:20:35.7224330Z     (which is guaranteed by DDP).
2025-07-24T04:20:35.7224370Z     
2025-07-24T04:20:35.7224490Z     To use this to enable training with uneven inputs across processes,
2025-07-24T04:20:35.7224650Z     simply wrap this context manager around your training loop. No further
2025-07-24T04:20:35.7224750Z     modifications to the model or data loading is required.
2025-07-24T04:20:35.7224800Z     
2025-07-24T04:20:35.7224840Z     .. warning::
2025-07-24T04:20:35.7224990Z         If the model or training loop this context manager is wrapped around
2025-07-24T04:20:35.7225100Z         has additional distributed collective operations, such as
2025-07-24T04:20:35.7225220Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-07-24T04:20:35.7225350Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-07-24T04:20:35.7225470Z         context manager is not aware of non-DDP collective communication.
2025-07-24T04:20:35.7225580Z         This flag will cause all ranks to throw when any one rank
2025-07-24T04:20:35.7225700Z         exhausts inputs, allowing these errors to be caught and recovered
2025-07-24T04:20:35.7225760Z         from across all ranks.
2025-07-24T04:20:35.7225800Z     
2025-07-24T04:20:35.7225840Z     Args:
2025-07-24T04:20:35.7225960Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-07-24T04:20:35.7226080Z             gradients by the initial ``world_size`` DDP training was launched
2025-07-24T04:20:35.7226190Z             with. If ``False``, will compute the effective world size
2025-07-24T04:20:35.7226300Z             (number of ranks that have not depleted their inputs yet) and
2025-07-24T04:20:35.7226390Z             divide gradients by that during allreduce. Set
2025-07-24T04:20:35.7226500Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-07-24T04:20:35.7226630Z             sample including the uneven inputs have equal weight in terms of
2025-07-24T04:20:35.7226730Z             how much they contribute to the global gradient. This is
2025-07-24T04:20:35.7226840Z             achieved by always dividing the gradient by the initial
2025-07-24T04:20:35.7226950Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-07-24T04:20:35.7227060Z             this to ``False``, we divide the gradient by the remaining
2025-07-24T04:20:35.7227180Z             number of nodes. This ensures parity with training on a smaller
2025-07-24T04:20:35.7227290Z             ``world_size`` although it also means the uneven inputs would
2025-07-24T04:20:35.7227410Z             contribute more towards the global gradient. Typically, you
2025-07-24T04:20:35.7227520Z             would want to set this to ``True`` for cases where the last few
2025-07-24T04:20:35.7227640Z             inputs of your training job are uneven. In extreme cases, where
2025-07-24T04:20:35.7227750Z             there is a large discrepancy in the number of inputs, setting
2025-07-24T04:20:35.7227840Z             this to ``False`` might provide better results.
2025-07-24T04:20:35.7227970Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-07-24T04:20:35.7228070Z             in ``enable=False`` to disable in cases where you know that
2025-07-24T04:20:35.7228190Z             inputs are even across participating processes. Default is
2025-07-24T04:20:35.7228230Z             ``True``.
2025-07-24T04:20:35.7228350Z         throw_on_early_termination (bool): Whether to throw an error
2025-07-24T04:20:35.7228460Z             or continue training when at least one rank has exhausted
2025-07-24T04:20:35.7228600Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-07-24T04:20:35.7228700Z             of data. If ``False``, will continue training with a smaller
2025-07-24T04:20:35.7228820Z             effective world size until all ranks are joined. Note that if
2025-07-24T04:20:35.7228890Z             this flag is specified, then the flag
2025-07-24T04:20:35.7229000Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-07-24T04:20:35.7229070Z             is ``False``.
2025-07-24T04:20:35.7229120Z     
2025-07-24T04:20:35.7229160Z     
2025-07-24T04:20:35.7229200Z     Example::
2025-07-24T04:20:35.7229240Z     
2025-07-24T04:20:35.7229340Z         >>> # xdoctest: +SKIP("Distributed")
2025-07-24T04:20:35.7229390Z         >>> import torch
2025-07-24T04:20:35.7229460Z         >>> import torch.distributed as dist
2025-07-24T04:20:35.7229520Z         >>> import os
2025-07-24T04:20:35.7229600Z         >>> import torch.multiprocessing as mp
2025-07-24T04:20:35.7229660Z         >>> import torch.nn as nn
2025-07-24T04:20:35.7229720Z         >>> # On each spawned worker
2025-07-24T04:20:35.7229770Z         >>> def worker(rank):
2025-07-24T04:20:35.7229880Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-07-24T04:20:35.7229950Z         >>>     torch.cuda.set_device(rank)
2025-07-24T04:20:35.7230030Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-07-24T04:20:35.7230140Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-07-24T04:20:35.7230230Z         >>>         model, device_ids=[rank], output_device=rank
2025-07-24T04:20:35.7230270Z         >>>     )
2025-07-24T04:20:35.7230360Z         >>>     # Rank 1 gets one more input than rank 0.
2025-07-24T04:20:35.7230470Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-07-24T04:20:35.7230530Z         >>>     with model.join():
2025-07-24T04:20:35.7230590Z         >>>         for _ in range(5):
2025-07-24T04:20:35.7230650Z         >>>             for inp in inputs:
2025-07-24T04:20:35.7230720Z         >>>                 loss = model(inp).sum()
2025-07-24T04:20:35.7230780Z         >>>                 loss.backward()
2025-07-24T04:20:35.7230900Z         >>>     # Without the join() API, the below synchronization will hang
2025-07-24T04:20:35.7230990Z         >>>     # blocking for rank 1's allreduce to complete.
2025-07-24T04:20:35.7231060Z         >>>     torch.cuda.synchronize(device=rank)
2025-07-24T04:20:35.7231110Z     
2025-07-24T04:20:35.7231260Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7231300Z     
2025-07-24T04:20:35.7231350Z       warnings.warn(msg)
2025-07-24T04:20:35.7231390Z     
2025-07-24T04:20:35.7231490Z --- Parse Warning: 31 / 136 ---
2025-07-24T04:20:35.7232250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-07-24T04:20:35.7232410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7232450Z     
2025-07-24T04:20:35.7232640Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-07-24T04:20:35.7232680Z     
2025-07-24T04:20:35.7232810Z     Registers an optimizer with DDP such that the optimization for a
2025-07-24T04:20:35.7232930Z     parameter will run immediately when that parameter's gradient is
2025-07-24T04:20:35.7233060Z     finished with reduction, instead of waiting for all parameters'
2025-07-24T04:20:35.7233190Z     gradients to finish reduction. This can result in a training speedup
2025-07-24T04:20:35.7233320Z     depending on your workload since the optimizer can run while gradient
2025-07-24T04:20:35.7233480Z     reduction for other parameters are still ongoing. In addition, this has
2025-07-24T04:20:35.7233620Z     the potential to reduce peak memory consumption during training, as it
2025-07-24T04:20:35.7233740Z     only needs to load the per-parameter optimizer states of a single
2025-07-24T04:20:35.7233870Z     parameter at a time, instead of loading all per-parameter optimizer
2025-07-24T04:20:35.7233920Z     states at once.
2025-07-24T04:20:35.7233980Z     
2025-07-24T04:20:35.7234020Z     Args:
2025-07-24T04:20:35.7234150Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-07-24T04:20:35.7234200Z         as a fused optimizer.
2025-07-24T04:20:35.7234320Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-07-24T04:20:35.7234460Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-07-24T04:20:35.7234630Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-07-24T04:20:35.7234760Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-07-24T04:20:35.7234800Z         optimized.
2025-07-24T04:20:35.7234930Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-07-24T04:20:35.7234970Z     
2025-07-24T04:20:35.7235010Z     .. warning ::
2025-07-24T04:20:35.7235140Z         _register_fused_optim should only be called once on a DDP instance,
2025-07-24T04:20:35.7235270Z         and registering multiple fused optimizers for the same DDP model
2025-07-24T04:20:35.7235350Z         is not currently supported. Please ping
2025-07-24T04:20:35.7235490Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:35.7235540Z         for your use case.
2025-07-24T04:20:35.7235580Z     
2025-07-24T04:20:35.7235630Z     .. warning ::
2025-07-24T04:20:35.7235740Z         _register_fused_optim and register_comm_hook currently do not
2025-07-24T04:20:35.7235870Z         compose together, meaning that custom DDP communication hooks are
2025-07-24T04:20:35.7235980Z         not supported with overlapped optimizers. Please ping
2025-07-24T04:20:35.7236120Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:35.7236170Z         for your use case.
2025-07-24T04:20:35.7236210Z     
2025-07-24T04:20:35.7236250Z     .. warning ::
2025-07-24T04:20:35.7236390Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-07-24T04:20:35.7236470Z         with overlapped optimizer. Please ping
2025-07-24T04:20:35.7236600Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-07-24T04:20:35.7236660Z         for your use case.
2025-07-24T04:20:35.7236700Z     
2025-07-24T04:20:35.7236740Z     Example::
2025-07-24T04:20:35.7236780Z     
2025-07-24T04:20:35.7236860Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-07-24T04:20:35.7237040Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-07-24T04:20:35.7237170Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-07-24T04:20:35.7237220Z         >>> lr = 1e-2
2025-07-24T04:20:35.7237270Z         >>> betas = (0.9, 0.99)
2025-07-24T04:20:35.7237320Z         >>> eps = 1e-6
2025-07-24T04:20:35.7237450Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-07-24T04:20:35.7237520Z         >>> # Example with subset of parameters
2025-07-24T04:20:35.7237610Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-07-24T04:20:35.7237670Z         >>> net._register_fused_optim(
2025-07-24T04:20:35.7237810Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-07-24T04:20:35.7237860Z         ... )
2025-07-24T04:20:35.7237900Z     
2025-07-24T04:20:35.7238050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7238090Z     
2025-07-24T04:20:35.7238140Z       warnings.warn(msg)
2025-07-24T04:20:35.7238180Z     
2025-07-24T04:20:35.7238310Z --- Parse Warning: 32 / 136 ---
2025-07-24T04:20:35.7239000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-07-24T04:20:35.7239160Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7239270Z     Register a parametrization to a tensor in a module.
2025-07-24T04:20:35.7239320Z     
2025-07-24T04:20:35.7239500Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-07-24T04:20:35.7239680Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-07-24T04:20:35.7239860Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-07-24T04:20:35.7240040Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-07-24T04:20:35.7240080Z     
2025-07-24T04:20:35.7240270Z         The first time that a module registers a parametrization, this function will add an attribute
2025-07-24T04:20:35.7240420Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-07-24T04:20:35.7240460Z     
2025-07-24T04:20:35.7240620Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-07-24T04:20:35.7240700Z         ``module.parametrizations.weight``.
2025-07-24T04:20:35.7240740Z     
2025-07-24T04:20:35.7240820Z         The original tensor will be accessible under
2025-07-24T04:20:35.7240910Z         ``module.parametrizations.weight.original``.
2025-07-24T04:20:35.7240950Z     
2025-07-24T04:20:35.7241120Z         Parametrizations may be concatenated by registering several parametrizations
2025-07-24T04:20:35.7241170Z         on the same attribute.
2025-07-24T04:20:35.7241220Z     
2025-07-24T04:20:35.7241370Z         The training mode of a registered parametrization is updated on registration
2025-07-24T04:20:35.7241450Z         to match the training mode of the host module
2025-07-24T04:20:35.7241490Z     
2025-07-24T04:20:35.7241670Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-07-24T04:20:35.7241750Z         using the context manager :func:`cached`.
2025-07-24T04:20:35.7241790Z     
2025-07-24T04:20:35.7241940Z         A :attr:`parametrization` may optionally implement a method with signature
2025-07-24T04:20:35.7241980Z     
2025-07-24T04:20:35.7242030Z         .. code-block:: python
2025-07-24T04:20:35.7242070Z     
2025-07-24T04:20:35.7242210Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-07-24T04:20:35.7242250Z     
2025-07-24T04:20:35.7242410Z         This method is called on the unparametrized tensor when the first parametrization
2025-07-24T04:20:35.7242540Z         is registered to compute the initial value of the original tensor.
2025-07-24T04:20:35.7242730Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-07-24T04:20:35.7242770Z     
2025-07-24T04:20:35.7242960Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-07-24T04:20:35.7243130Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-07-24T04:20:35.7243170Z     
2025-07-24T04:20:35.7243310Z         It is possible for the first parametrization to depend on several inputs.
2025-07-24T04:20:35.7243460Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-07-24T04:20:35.7243600Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-07-24T04:20:35.7243650Z     
2025-07-24T04:20:35.7243850Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-07-24T04:20:35.7243990Z         with names ``original0``, ``original1``,...
2025-07-24T04:20:35.7244030Z     
2025-07-24T04:20:35.7244080Z         .. note::
2025-07-24T04:20:35.7244120Z     
2025-07-24T04:20:35.7244280Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-07-24T04:20:35.7244380Z             once to perform a number of consistency checks.
2025-07-24T04:20:35.7244540Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-07-24T04:20:35.7244650Z             and nothing will be called otherwise.
2025-07-24T04:20:35.7244690Z     
2025-07-24T04:20:35.7244730Z         .. note::
2025-07-24T04:20:35.7244780Z     
2025-07-24T04:20:35.7244920Z             In most situations, ``right_inverse`` will be a function such that
2025-07-24T04:20:35.7244990Z             ``forward(right_inverse(X)) == X`` (see
2025-07-24T04:20:35.7245190Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-07-24T04:20:35.7245340Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-07-24T04:20:35.7245400Z             to relax this.
2025-07-24T04:20:35.7245440Z     
2025-07-24T04:20:35.7245480Z         .. warning::
2025-07-24T04:20:35.7245520Z     
2025-07-24T04:20:35.7245690Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-07-24T04:20:35.7245850Z             will register a number of new parameters. If such parametrization is registered
2025-07-24T04:20:35.7246010Z             after the optimizer is created, these new parameters will need to be added manually
2025-07-24T04:20:35.7246140Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-07-24T04:20:35.7246180Z     
2025-07-24T04:20:35.7246220Z         Args:
2025-07-24T04:20:35.7246350Z             module (nn.Module): module on which to register the parametrization
2025-07-24T04:20:35.7246490Z             tensor_name (str): name of the parameter or buffer on which to register
2025-07-24T04:20:35.7246550Z                 the parametrization
2025-07-24T04:20:35.7246680Z             parametrization (nn.Module): the parametrization to register
2025-07-24T04:20:35.7246730Z         Keyword args:
2025-07-24T04:20:35.7246860Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-07-24T04:20:35.7246980Z                 may change the dtype and shape of the tensor. Default: `False`
2025-07-24T04:20:35.7247140Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-07-24T04:20:35.7247210Z                 Enable this flag at your own risk.
2025-07-24T04:20:35.7247250Z     
2025-07-24T04:20:35.7247300Z         Raises:
2025-07-24T04:20:35.7247470Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-07-24T04:20:35.7247520Z     
2025-07-24T04:20:35.7247560Z         Examples:
2025-07-24T04:20:35.7247660Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-07-24T04:20:35.7247710Z             >>> import torch
2025-07-24T04:20:35.7247770Z             >>> import torch.nn as nn
2025-07-24T04:20:35.7247860Z             >>> import torch.nn.utils.parametrize as P
2025-07-24T04:20:35.7247900Z             >>>
2025-07-24T04:20:35.7247960Z             >>> class Symmetric(nn.Module):
2025-07-24T04:20:35.7248030Z             >>>     def forward(self, X):
2025-07-24T04:20:35.7248140Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-07-24T04:20:35.7248180Z             >>>
2025-07-24T04:20:35.7248250Z             >>>     def right_inverse(self, A):
2025-07-24T04:20:35.7248300Z             >>>         return A.triu()
2025-07-24T04:20:35.7248350Z             >>>
2025-07-24T04:20:35.7248400Z             >>> m = nn.Linear(5, 5)
2025-07-24T04:20:35.7248510Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-07-24T04:20:35.7248660Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-07-24T04:20:35.7248750Z             True
2025-07-24T04:20:35.7248800Z             >>> A = torch.rand(5, 5)
2025-07-24T04:20:35.7248880Z             >>> A = A + A.T  # A is now symmetric
2025-07-24T04:20:35.7249000Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-07-24T04:20:35.7249070Z             >>> print(torch.allclose(m.weight, A))
2025-07-24T04:20:35.7249110Z             True
2025-07-24T04:20:35.7249170Z     
2025-07-24T04:20:35.7249240Z             >>> class RankOne(nn.Module):
2025-07-24T04:20:35.7249300Z             >>>     def forward(self, x, y):
2025-07-24T04:20:35.7249420Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-07-24T04:20:35.7249500Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-07-24T04:20:35.7249550Z             >>>
2025-07-24T04:20:35.7249630Z             >>>     def right_inverse(self, Z):
2025-07-24T04:20:35.7249710Z             >>> # Project Z onto the rank 1 matrices
2025-07-24T04:20:35.7249810Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-07-24T04:20:35.7249880Z             >>> # Return rescaled singular vectors
2025-07-24T04:20:35.7249950Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-07-24T04:20:35.7250050Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-07-24T04:20:35.7250090Z             >>>
2025-07-24T04:20:35.7250180Z             >>> linear_rank_one = P.register_parametrization(
2025-07-24T04:20:35.7250260Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-07-24T04:20:35.7250300Z             ... )
2025-07-24T04:20:35.7250430Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-07-24T04:20:35.7250470Z             1
2025-07-24T04:20:35.7250510Z     
2025-07-24T04:20:35.7250550Z         
2025-07-24T04:20:35.7250710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7250750Z     
2025-07-24T04:20:35.7250810Z       warnings.warn(msg)
2025-07-24T04:20:35.7250840Z     
2025-07-24T04:20:35.7250950Z --- Parse Warning: 33 / 136 ---
2025-07-24T04:20:35.7251670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-07-24T04:20:35.7251820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7251960Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-07-24T04:20:35.7252000Z     
2025-07-24T04:20:35.7252170Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-07-24T04:20:35.7252330Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-07-24T04:20:35.7252490Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-07-24T04:20:35.7252680Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-07-24T04:20:35.7252720Z     
2025-07-24T04:20:35.7252760Z         .. note::
2025-07-24T04:20:35.7252910Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-07-24T04:20:35.7253040Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-07-24T04:20:35.7253170Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-07-24T04:20:35.7253310Z             necessarily benefit from conversion to specified ``memory_format``.
2025-07-24T04:20:35.7253450Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-07-24T04:20:35.7253580Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-07-24T04:20:35.7253730Z             even in cases where we have to apply permutation to input tensors.
2025-07-24T04:20:35.7253780Z     
2025-07-24T04:20:35.7253910Z             Hence our strategy here is to convert only the weight of convolution to
2025-07-24T04:20:35.7253980Z             channels_last. This ensures that;
2025-07-24T04:20:35.7254120Z             1. Fast convolution kernels will be used, the benefit of which could
2025-07-24T04:20:35.7254250Z             outweigh overhead of permutation (if input is not in the same format).
2025-07-24T04:20:35.7254420Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-07-24T04:20:35.7254490Z             from memory_format conversion.
2025-07-24T04:20:35.7254550Z     
2025-07-24T04:20:35.7254690Z             The optimal case is that, layers between convolution layers are channels
2025-07-24T04:20:35.7254860Z             last compatible. Input tensor would be permuted to channels last when it
2025-07-24T04:20:35.7255000Z             encounters the first convolution layer and stay in that memory format.
2025-07-24T04:20:35.7255150Z             Hence following convolutions will not need to permute its input tensor.
2025-07-24T04:20:35.7255190Z     
2025-07-24T04:20:35.7255320Z             In case where a channels last incompatible layer is between convolution
2025-07-24T04:20:35.7255450Z             layers, we need to permute the input tensor back to contiguous format
2025-07-24T04:20:35.7255600Z             for that layer. The input tensor will go through the remaining layers in
2025-07-24T04:20:35.7255730Z             contiguous format and be permuted to channels last when it encounters
2025-07-24T04:20:35.7255860Z             another convolution layer. There's no point in propagating that
2025-07-24T04:20:35.7255990Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-07-24T04:20:35.7256050Z             ``memory_format``.
2025-07-24T04:20:35.7256090Z     
2025-07-24T04:20:35.7256230Z             This claim might change when PyTorch supports fusion of permutation, as
2025-07-24T04:20:35.7256360Z             there might have been a better spot to fuse the permutation other than
2025-07-24T04:20:35.7256430Z             immediately before a convolution.
2025-07-24T04:20:35.7256480Z     
2025-07-24T04:20:35.7256520Z         Args:
2025-07-24T04:20:35.7256650Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-07-24T04:20:35.7256710Z                                 ``nn.Module``
2025-07-24T04:20:35.7256810Z             memory_format: user specified ``memory_format``,
2025-07-24T04:20:35.7256920Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-07-24T04:20:35.7256960Z     
2025-07-24T04:20:35.7257000Z         Returns:
2025-07-24T04:20:35.7257090Z             The original module with updated ``nn.Conv2d``
2025-07-24T04:20:35.7257130Z     
2025-07-24T04:20:35.7257180Z         Example:
2025-07-24T04:20:35.7257270Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7257370Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-07-24T04:20:35.7257430Z             >>> input = torch.randint(
2025-07-24T04:20:35.7257520Z             ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-07-24T04:20:35.7257560Z             ... )
2025-07-24T04:20:35.7257620Z             >>> model = nn.Sequential(
2025-07-24T04:20:35.7257700Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-07-24T04:20:35.7257750Z             >>> # This is identical to:
2025-07-24T04:20:35.7257900Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-07-24T04:20:35.7258010Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-07-24T04:20:35.7258080Z             ...     model, torch.channels_last
2025-07-24T04:20:35.7258120Z             ... )
2025-07-24T04:20:35.7258180Z             >>> out = model(input)
2025-07-24T04:20:35.7258220Z         
2025-07-24T04:20:35.7258390Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7258430Z     
2025-07-24T04:20:35.7258480Z       warnings.warn(msg)
2025-07-24T04:20:35.7258520Z     
2025-07-24T04:20:35.7258620Z --- Parse Warning: 34 / 136 ---
2025-07-24T04:20:35.7259340Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-07-24T04:20:35.7259540Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7259670Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-07-24T04:20:35.7259860Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-07-24T04:20:35.7260030Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-07-24T04:20:35.7260180Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-07-24T04:20:35.7260370Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-07-24T04:20:35.7260410Z     
2025-07-24T04:20:35.7260460Z         .. note::
2025-07-24T04:20:35.7260610Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-07-24T04:20:35.7260740Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-07-24T04:20:35.7260870Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-07-24T04:20:35.7261010Z             necessarily benefit from conversion to specified ``memory_format``.
2025-07-24T04:20:35.7261150Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-07-24T04:20:35.7261290Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-07-24T04:20:35.7261410Z             even in cases where we have to apply permutation to input tensors.
2025-07-24T04:20:35.7261450Z     
2025-07-24T04:20:35.7261600Z             Hence our strategy here is to convert only the weight of convolution to
2025-07-24T04:20:35.7261670Z             channels_last_3d. This ensures that;
2025-07-24T04:20:35.7261800Z             1. Fast convolution kernels will be used, the benefit of which could
2025-07-24T04:20:35.7261940Z             outweigh overhead of permutation (if input is not in the same format).
2025-07-24T04:20:35.7262090Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-07-24T04:20:35.7262150Z             from memory_format conversion.
2025-07-24T04:20:35.7262200Z     
2025-07-24T04:20:35.7262340Z             The optimal case is that, layers between convolution layers are channels
2025-07-24T04:20:35.7262480Z             last compatible. Input tensor would be permuted to channels last when it
2025-07-24T04:20:35.7262620Z             encounters the first convolution layer and stay in that memory format.
2025-07-24T04:20:35.7262760Z             Hence following convolutions will not need to permute its input tensor.
2025-07-24T04:20:35.7262810Z     
2025-07-24T04:20:35.7262940Z             In case where a channels last incompatible layer is between convolution
2025-07-24T04:20:35.7263070Z             layers, we need to permute the input tensor back to contiguous format
2025-07-24T04:20:35.7263200Z             for that layer. The input tensor will go through the remaining layers in
2025-07-24T04:20:35.7263340Z             contiguous format and be permuted to channels last when it encounters
2025-07-24T04:20:35.7263470Z             another convolution layer. There's no point in propagating that
2025-07-24T04:20:35.7263610Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-07-24T04:20:35.7263660Z             ``memory_format``.
2025-07-24T04:20:35.7263740Z     
2025-07-24T04:20:35.7263880Z             This claim might change when PyTorch supports fusion of permutation, as
2025-07-24T04:20:35.7264010Z             there might have been a better spot to fuse the permutation other than
2025-07-24T04:20:35.7264080Z             immediately before a convolution.
2025-07-24T04:20:35.7264120Z     
2025-07-24T04:20:35.7264160Z         Args:
2025-07-24T04:20:35.7264290Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-07-24T04:20:35.7264510Z                                 ``nn.Module``
2025-07-24T04:20:35.7264610Z             memory_format: user specified ``memory_format``,
2025-07-24T04:20:35.7267970Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-07-24T04:20:35.7268030Z     
2025-07-24T04:20:35.7268080Z         Returns:
2025-07-24T04:20:35.7268190Z             The original module with updated ``nn.Conv3d``
2025-07-24T04:20:35.7268240Z     
2025-07-24T04:20:35.7268280Z         Example:
2025-07-24T04:20:35.7268370Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7268460Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-07-24T04:20:35.7268530Z             >>> input = torch.randint(
2025-07-24T04:20:35.7268620Z             ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-07-24T04:20:35.7268670Z             ... )
2025-07-24T04:20:35.7268720Z             >>> model = nn.Sequential(
2025-07-24T04:20:35.7268800Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-07-24T04:20:35.7268890Z             >>> # This is identical to:
2025-07-24T04:20:35.7269060Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-07-24T04:20:35.7269160Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-07-24T04:20:35.7269230Z             ...     model, torch.channels_last_3d
2025-07-24T04:20:35.7269270Z             ... )
2025-07-24T04:20:35.7269330Z             >>> out = model(input)
2025-07-24T04:20:35.7269370Z         
2025-07-24T04:20:35.7269530Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7269570Z     
2025-07-24T04:20:35.7269620Z       warnings.warn(msg)
2025-07-24T04:20:35.7269660Z     
2025-07-24T04:20:35.7269800Z --- Parse Warning: 35 / 136 ---
2025-07-24T04:20:35.7270450Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-07-24T04:20:35.7270610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7270800Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-07-24T04:20:35.7270840Z     
2025-07-24T04:20:35.7270980Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-07-24T04:20:35.7271110Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-07-24T04:20:35.7271220Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-07-24T04:20:35.7271340Z         Modifies module in place (and also return the modified module)
2025-07-24T04:20:35.7271390Z         by:
2025-07-24T04:20:35.7271430Z     
2025-07-24T04:20:35.7271560Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:35.7271690Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:35.7271820Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:35.7271950Z            original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:35.7272000Z            ``name+'_orig'``.
2025-07-24T04:20:35.7272040Z     
2025-07-24T04:20:35.7272080Z         Args:
2025-07-24T04:20:35.7272220Z             module (nn.Module): module containing the tensor to prune
2025-07-24T04:20:35.7272340Z             name (str): parameter name within ``module`` on which pruning
2025-07-24T04:20:35.7272390Z                     will act.
2025-07-24T04:20:35.7272490Z             amount (int or float): quantity of parameters to prune.
2025-07-24T04:20:35.7272600Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-07-24T04:20:35.7272750Z                 fraction of parameters to prune. If ``int``, it represents the
2025-07-24T04:20:35.7272830Z                 absolute number of parameters to prune.
2025-07-24T04:20:35.7272990Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-07-24T04:20:35.7273090Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-07-24T04:20:35.7273240Z             dim (int): index of the dim along which we define channels to prune.
2025-07-24T04:20:35.7273390Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-07-24T04:20:35.7273500Z                 shape as module parameter) used to compute mask for pruning.
2025-07-24T04:20:35.7273640Z                 The values in this tensor indicate the importance of the corresponding
2025-07-24T04:20:35.7273720Z                 elements in the parameter being pruned.
2025-07-24T04:20:35.7273860Z                 If unspecified or None, the module parameter will be used in its place.
2025-07-24T04:20:35.7273900Z     
2025-07-24T04:20:35.7273950Z         Returns:
2025-07-24T04:20:35.7274080Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-07-24T04:20:35.7274120Z     
2025-07-24T04:20:35.7274170Z         Examples:
2025-07-24T04:20:35.7274240Z             >>> from torch.nn.utils import prune
2025-07-24T04:20:35.7274310Z             >>> m = prune.ln_structured(
2025-07-24T04:20:35.7274420Z             ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-07-24T04:20:35.7274470Z             ... )
2025-07-24T04:20:35.7274510Z         
2025-07-24T04:20:35.7274660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7274700Z     
2025-07-24T04:20:35.7274750Z       warnings.warn(msg)
2025-07-24T04:20:35.7274790Z     
2025-07-24T04:20:35.7274890Z --- Parse Warning: 36 / 136 ---
2025-07-24T04:20:35.7275560Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-07-24T04:20:35.7275720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7275760Z     
2025-07-24T04:20:35.7276020Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-07-24T04:20:35.7276060Z     
2025-07-24T04:20:35.7276120Z     Modifies modules in place by:
2025-07-24T04:20:35.7276160Z     
2025-07-24T04:20:35.7276290Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:35.7276420Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:35.7276550Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:35.7276680Z        original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:35.7276730Z        ``name+'_orig'``.
2025-07-24T04:20:35.7276770Z     
2025-07-24T04:20:35.7276810Z     Args:
2025-07-24T04:20:35.7276940Z         parameters (Iterable of (module, name) tuples): parameters of
2025-07-24T04:20:35.7277060Z             the model to prune in a global fashion, i.e. by aggregating all
2025-07-24T04:20:35.7277190Z             weights prior to deciding which ones to prune. module must be of
2025-07-24T04:20:35.7277280Z             type :class:`nn.Module`, and name must be a string.
2025-07-24T04:20:35.7277440Z         pruning_method (function): a valid pruning function from this module,
2025-07-24T04:20:35.7277560Z             or a custom one implemented by the user that satisfies the
2025-07-24T04:20:35.7277690Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-07-24T04:20:35.7277840Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-07-24T04:20:35.7277990Z             the corresponding parameter's importance scores tensor. The tensor
2025-07-24T04:20:35.7278120Z             should be the same shape as the parameter, and is used for computing
2025-07-24T04:20:35.7278170Z             mask for pruning.
2025-07-24T04:20:35.7278320Z             If unspecified or None, the parameter will be used in place of its
2025-07-24T04:20:35.7278380Z             importance scores.
2025-07-24T04:20:35.7278480Z         kwargs: other keyword arguments such as:
2025-07-24T04:20:35.7278610Z             amount (int or float): quantity of parameters to prune across the
2025-07-24T04:20:35.7278670Z             specified parameters.
2025-07-24T04:20:35.7278770Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-07-24T04:20:35.7278900Z             fraction of parameters to prune. If ``int``, it represents the
2025-07-24T04:20:35.7278970Z             absolute number of parameters to prune.
2025-07-24T04:20:35.7279010Z     
2025-07-24T04:20:35.7279060Z     Raises:
2025-07-24T04:20:35.7279150Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-07-24T04:20:35.7279190Z     
2025-07-24T04:20:35.7279230Z     Note:
2025-07-24T04:20:35.7279370Z         Since global structured pruning doesn't make much sense unless the
2025-07-24T04:20:35.7279490Z         norm is normalized by the size of the parameter, we now limit the
2025-07-24T04:20:35.7279580Z         scope of global pruning to unstructured methods.
2025-07-24T04:20:35.7279620Z     
2025-07-24T04:20:35.7279670Z     Examples:
2025-07-24T04:20:35.7279740Z         >>> from torch.nn.utils import prune
2025-07-24T04:20:35.7279810Z         >>> from collections import OrderedDict
2025-07-24T04:20:35.7279870Z         >>> net = nn.Sequential(
2025-07-24T04:20:35.7279920Z         ...     OrderedDict(
2025-07-24T04:20:35.7279960Z         ...         [
2025-07-24T04:20:35.7280040Z         ...             ("first", nn.Linear(10, 4)),
2025-07-24T04:20:35.7280110Z         ...             ("second", nn.Linear(4, 1)),
2025-07-24T04:20:35.7280150Z         ...         ]
2025-07-24T04:20:35.7280200Z         ...     )
2025-07-24T04:20:35.7280240Z         ... )
2025-07-24T04:20:35.7280300Z         >>> parameters_to_prune = (
2025-07-24T04:20:35.7280360Z         ...     (net.first, "weight"),
2025-07-24T04:20:35.7280420Z         ...     (net.second, "weight"),
2025-07-24T04:20:35.7280460Z         ... )
2025-07-24T04:20:35.7280520Z         >>> prune.global_unstructured(
2025-07-24T04:20:35.7280580Z         ...     parameters_to_prune,
2025-07-24T04:20:35.7280660Z         ...     pruning_method=prune.L1Unstructured,
2025-07-24T04:20:35.7280710Z         ...     amount=10,
2025-07-24T04:20:35.7280750Z         ... )
2025-07-24T04:20:35.7280890Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-07-24T04:20:35.7280930Z         tensor(10)
2025-07-24T04:20:35.7280970Z     
2025-07-24T04:20:35.7281010Z     
2025-07-24T04:20:35.7281160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7281210Z     
2025-07-24T04:20:35.7281260Z       warnings.warn(msg)
2025-07-24T04:20:35.7281300Z     
2025-07-24T04:20:35.7281400Z --- Parse Warning: 37 / 136 ---
2025-07-24T04:20:35.7282060Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-07-24T04:20:35.7282230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7282470Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-07-24T04:20:35.7282510Z     
2025-07-24T04:20:35.7282640Z         Modifies module in place (and also return the modified module) by:
2025-07-24T04:20:35.7282680Z     
2025-07-24T04:20:35.7282810Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-07-24T04:20:35.7282960Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-07-24T04:20:35.7283120Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-07-24T04:20:35.7283250Z            original (unpruned) parameter is stored in a new parameter named
2025-07-24T04:20:35.7283300Z            ``name+'_orig'``.
2025-07-24T04:20:35.7283360Z     
2025-07-24T04:20:35.7283410Z         Args:
2025-07-24T04:20:35.7283520Z             module (nn.Module): module containing the tensor to prune
2025-07-24T04:20:35.7283630Z             name (str): parameter name within ``module`` on which pruning
2025-07-24T04:20:35.7283680Z                 will act.
2025-07-24T04:20:35.7283790Z             mask (Tensor): binary mask to be applied to the parameter.
2025-07-24T04:20:35.7283830Z     
2025-07-24T04:20:35.7283870Z         Returns:
2025-07-24T04:20:35.7284010Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-07-24T04:20:35.7284050Z     
2025-07-24T04:20:35.7284090Z         Examples:
2025-07-24T04:20:35.7284170Z             >>> from torch.nn.utils import prune
2025-07-24T04:20:35.7284230Z             >>> m = prune.custom_from_mask(
2025-07-24T04:20:35.7284340Z             ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-07-24T04:20:35.7284380Z             ... )
2025-07-24T04:20:35.7284440Z             >>> print(m.bias_mask)
2025-07-24T04:20:35.7284490Z             tensor([0., 1., 0.])
2025-07-24T04:20:35.7284530Z     
2025-07-24T04:20:35.7284580Z         
2025-07-24T04:20:35.7284730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7284770Z     
2025-07-24T04:20:35.7284820Z       warnings.warn(msg)
2025-07-24T04:20:35.7284860Z     
2025-07-24T04:20:35.7284960Z --- Parse Warning: 38 / 136 ---
2025-07-24T04:20:35.7285620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=342.
2025-07-24T04:20:35.7285780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7285860Z     Pad a packed batch of variable length sequences.
2025-07-24T04:20:35.7285910Z     
2025-07-24T04:20:35.7286020Z         It is an inverse operation to :func:`pack_padded_sequence`.
2025-07-24T04:20:35.7286060Z     
2025-07-24T04:20:35.7286230Z         The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-07-24T04:20:35.7286380Z         or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-07-24T04:20:35.7286450Z         sequence and ``B`` is the batch size.
2025-07-24T04:20:35.7286490Z     
2025-07-24T04:20:35.7286540Z         Example:
2025-07-24T04:20:35.7286680Z             >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-07-24T04:20:35.7286780Z             >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-07-24T04:20:35.7286830Z             >>> lens = [2, 1, 3]
2025-07-24T04:20:35.7286900Z             >>> packed = pack_padded_sequence(
2025-07-24T04:20:35.7287000Z             ...     seq, lens, batch_first=True, enforce_sorted=False
2025-07-24T04:20:35.7287040Z             ... )
2025-07-24T04:20:35.7287080Z             >>> packed
2025-07-24T04:20:35.7287270Z             PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-07-24T04:20:35.7287410Z                            sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-07-24T04:20:35.7287560Z             >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-07-24T04:20:35.7287610Z             >>> seq_unpacked
2025-07-24T04:20:35.7287660Z             tensor([[1, 2, 0],
2025-07-24T04:20:35.7287740Z                     [3, 0, 0],
2025-07-24T04:20:35.7287790Z                     [4, 5, 6]])
2025-07-24T04:20:35.7287840Z             >>> lens_unpacked
2025-07-24T04:20:35.7287890Z             tensor([2, 1, 3])
2025-07-24T04:20:35.7287950Z     
2025-07-24T04:20:35.7288000Z         .. note::
2025-07-24T04:20:35.7288090Z             :attr:`total_length` is useful to implement the
2025-07-24T04:20:35.7288240Z             ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-07-24T04:20:35.7288380Z             :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-07-24T04:20:35.7288530Z             See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-07-24T04:20:35.7288570Z             details.
2025-07-24T04:20:35.7288610Z     
2025-07-24T04:20:35.7288650Z         Args:
2025-07-24T04:20:35.7288730Z             sequence (PackedSequence): batch to pad
2025-07-24T04:20:35.7288880Z             batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-07-24T04:20:35.7288950Z                 format, ``T x B x *`` otherwise.
2025-07-24T04:20:35.7289070Z             padding_value (float, optional): values for padded elements.
2025-07-24T04:20:35.7289210Z             total_length (int, optional): if not ``None``, the output will be padded to
2025-07-24T04:20:35.7289360Z                 have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-07-24T04:20:35.7289470Z                 if :attr:`total_length` is less than the max sequence length in
2025-07-24T04:20:35.7289530Z                 :attr:`sequence`.
2025-07-24T04:20:35.7289570Z     
2025-07-24T04:20:35.7289610Z         Returns:
2025-07-24T04:20:35.7289730Z             Tuple of Tensor containing the padded sequence, and a Tensor
2025-07-24T04:20:35.7289850Z             containing the list of lengths of each sequence in the batch.
2025-07-24T04:20:35.7289990Z             Batch elements will be re-ordered as they were ordered originally when
2025-07-24T04:20:35.7290120Z             the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-07-24T04:20:35.7290170Z         
2025-07-24T04:20:35.7290320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7290360Z     
2025-07-24T04:20:35.7290410Z       warnings.warn(msg)
2025-07-24T04:20:35.7290450Z     
2025-07-24T04:20:35.7290550Z --- Parse Warning: 39 / 136 ---
2025-07-24T04:20:35.7291200Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=60.
2025-07-24T04:20:35.7291350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7291400Z     
2025-07-24T04:20:35.7291590Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-07-24T04:20:35.7291630Z     
2025-07-24T04:20:35.7291790Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-07-24T04:20:35.7291930Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-07-24T04:20:35.7291970Z     
2025-07-24T04:20:35.7292160Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-07-24T04:20:35.7292320Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-07-24T04:20:35.7292450Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-07-24T04:20:35.7292500Z     
2025-07-24T04:20:35.7292540Z     Shape:
2025-07-24T04:20:35.7292670Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-07-24T04:20:35.7292830Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-07-24T04:20:35.7292990Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-07-24T04:20:35.7293070Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-07-24T04:20:35.7293110Z     
2025-07-24T04:20:35.7293180Z     Args:
2025-07-24T04:20:35.7293280Z         dim (Union[int, str]): Dimension to be unflattened
2025-07-24T04:20:35.7293510Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-07-24T04:20:35.7293550Z     
2025-07-24T04:20:35.7293590Z     Examples:
2025-07-24T04:20:35.7293650Z         >>> input = torch.randn(2, 50)
2025-07-24T04:20:35.7293710Z         >>> # With tuple of ints
2025-07-24T04:20:35.7293760Z         >>> m = nn.Sequential(
2025-07-24T04:20:35.7293820Z         >>>     nn.Linear(50, 50),
2025-07-24T04:20:35.7293880Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-07-24T04:20:35.7293920Z         >>> )
2025-07-24T04:20:35.7293980Z         >>> output = m(input)
2025-07-24T04:20:35.7294030Z         >>> output.size()
2025-07-24T04:20:35.7294080Z         torch.Size([2, 2, 5, 5])
2025-07-24T04:20:35.7294140Z         >>> # With torch.Size
2025-07-24T04:20:35.7294190Z         >>> m = nn.Sequential(
2025-07-24T04:20:35.7294250Z         >>>     nn.Linear(50, 50),
2025-07-24T04:20:35.7294320Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-07-24T04:20:35.7294360Z         >>> )
2025-07-24T04:20:35.7294420Z         >>> output = m(input)
2025-07-24T04:20:35.7294470Z         >>> output.size()
2025-07-24T04:20:35.7294520Z         torch.Size([2, 2, 5, 5])
2025-07-24T04:20:35.7294590Z         >>> # With namedshape (tuple of tuples)
2025-07-24T04:20:35.7294690Z         >>> input = torch.randn(2, 50, names=("N", "features"))
2025-07-24T04:20:35.7294810Z         >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-07-24T04:20:35.7294880Z         >>> output = unflatten(input)
2025-07-24T04:20:35.7294930Z         >>> output.size()
2025-07-24T04:20:35.7294980Z         torch.Size([2, 2, 5, 5])
2025-07-24T04:20:35.7295020Z     
2025-07-24T04:20:35.7295170Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7295210Z     
2025-07-24T04:20:35.7295260Z       warnings.warn(msg)
2025-07-24T04:20:35.7295310Z     
2025-07-24T04:20:35.7295410Z --- Parse Warning: 40 / 136 ---
2025-07-24T04:20:35.7296080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=601.
2025-07-24T04:20:35.7296230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7296340Z     Applies Batch Normalization over a N-Dimensional input.
2025-07-24T04:20:35.7296380Z     
2025-07-24T04:20:35.7296590Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-07-24T04:20:35.7296730Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-07-24T04:20:35.7296860Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-07-24T04:20:35.7296910Z     
2025-07-24T04:20:35.7296950Z         .. math::
2025-07-24T04:20:35.7296990Z     
2025-07-24T04:20:35.7297130Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-07-24T04:20:35.7297170Z     
2025-07-24T04:20:35.7297340Z         The mean and standard-deviation are calculated per-dimension over all
2025-07-24T04:20:35.7297480Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-07-24T04:20:35.7297620Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-07-24T04:20:35.7297730Z         By default, the elements of :math:`\gamma` are sampled from
2025-07-24T04:20:35.7297850Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-07-24T04:20:35.7298030Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-07-24T04:20:35.7298100Z         `torch.var(input, unbiased=False)`.
2025-07-24T04:20:35.7298140Z     
2025-07-24T04:20:35.7298300Z         Also by default, during training this layer keeps running estimates of its
2025-07-24T04:20:35.7298470Z         computed mean and variance, which are then used for normalization during
2025-07-24T04:20:35.7298620Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-07-24T04:20:35.7298670Z         of 0.1.
2025-07-24T04:20:35.7298710Z     
2025-07-24T04:20:35.7298850Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-07-24T04:20:35.7298980Z         keep running estimates, and batch statistics are instead used during
2025-07-24T04:20:35.7299040Z         evaluation time as well.
2025-07-24T04:20:35.7299080Z     
2025-07-24T04:20:35.7299120Z         .. note::
2025-07-24T04:20:35.7299250Z             This :attr:`momentum` argument is different from one used in optimizer
2025-07-24T04:20:35.7299390Z             classes and the conventional notion of momentum. Mathematically, the
2025-07-24T04:20:35.7299470Z             update rule for running statistics here is
2025-07-24T04:20:35.7299640Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-07-24T04:20:35.7299770Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-07-24T04:20:35.7299820Z             new observed value.
2025-07-24T04:20:35.7299860Z     
2025-07-24T04:20:35.7300040Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-07-24T04:20:35.7300200Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-07-24T04:20:35.7300310Z         Normalization or Spatio-temporal Batch Normalization.
2025-07-24T04:20:35.7300350Z     
2025-07-24T04:20:35.7300440Z         Currently :class:`SyncBatchNorm` only supports
2025-07-24T04:20:35.7300610Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-07-24T04:20:35.7300740Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-07-24T04:20:35.7300870Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-07-24T04:20:35.7300920Z         Network with DDP.
2025-07-24T04:20:35.7300960Z     
2025-07-24T04:20:35.7301010Z         Args:
2025-07-24T04:20:35.7301110Z             num_features: :math:`C` from an expected input of size
2025-07-24T04:20:35.7301160Z                 :math:`(N, C, +)`
2025-07-24T04:20:35.7301280Z             eps: a value added to the denominator for numerical stability.
2025-07-24T04:20:35.7301340Z                 Default: ``1e-5``
2025-07-24T04:20:35.7301460Z             momentum: the value used for the running_mean and running_var
2025-07-24T04:20:35.7301580Z                 computation. Can be set to ``None`` for cumulative moving average
2025-07-24T04:20:35.7301660Z                 (i.e. simple average). Default: 0.1
2025-07-24T04:20:35.7301790Z             affine: a boolean value that when set to ``True``, this module has
2025-07-24T04:20:35.7301880Z                 learnable affine parameters. Default: ``True``
2025-07-24T04:20:35.7302010Z             track_running_stats: a boolean value that when set to ``True``, this
2025-07-24T04:20:35.7302150Z                 module tracks the running mean and variance, and when set to ``False``,
2025-07-24T04:20:35.7302310Z                 this module does not track such statistics, and initializes statistics
2025-07-24T04:20:35.7302440Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-07-24T04:20:35.7302580Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-07-24T04:20:35.7302670Z                 in both training and eval modes. Default: ``True``
2025-07-24T04:20:35.7302840Z             process_group: synchronization of stats happen within each process group
2025-07-24T04:20:35.7302980Z                 individually. Default behavior is synchronization across the whole
2025-07-24T04:20:35.7303040Z                 world
2025-07-24T04:20:35.7303080Z     
2025-07-24T04:20:35.7303130Z         Shape:
2025-07-24T04:20:35.7303190Z             - Input: :math:`(N, C, +)`
2025-07-24T04:20:35.7303300Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-07-24T04:20:35.7303340Z     
2025-07-24T04:20:35.7303390Z         .. note::
2025-07-24T04:20:35.7303530Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-07-24T04:20:35.7303660Z             synchronization is disabled when ``model.eval()`` is set or if
2025-07-24T04:20:35.7303740Z             ``self.training`` is otherwise ``False``.
2025-07-24T04:20:35.7303780Z     
2025-07-24T04:20:35.7303820Z         Examples::
2025-07-24T04:20:35.7303860Z     
2025-07-24T04:20:35.7303920Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7303980Z             >>> # With Learnable Parameters
2025-07-24T04:20:35.7304050Z             >>> m = nn.SyncBatchNorm(100)
2025-07-24T04:20:35.7304120Z             >>> # creating process group (optional)
2025-07-24T04:20:35.7304210Z             >>> # ranks is a list of int identifying rank ids.
2025-07-24T04:20:35.7304260Z             >>> ranks = list(range(8))
2025-07-24T04:20:35.7304330Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-07-24T04:20:35.7304430Z             >>> # Note: every rank calls into new_group for every
2025-07-24T04:20:35.7304520Z             >>> # process group created, even if that rank is not
2025-07-24T04:20:35.7304580Z             >>> # part of the group.
2025-07-24T04:20:35.7304730Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-07-24T04:20:35.7304850Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-07-24T04:20:35.7304920Z             >>> # Without Learnable Parameters
2025-07-24T04:20:35.7305050Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-07-24T04:20:35.7305120Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-07-24T04:20:35.7305180Z             >>> output = m(input)
2025-07-24T04:20:35.7305220Z     
2025-07-24T04:20:35.7305290Z             >>> # network is nn.BatchNorm layer
2025-07-24T04:20:35.7305460Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-07-24T04:20:35.7305560Z             >>> # only single gpu per process is currently supported
2025-07-24T04:20:35.7305700Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-07-24T04:20:35.7305770Z             >>>                         sync_bn_network,
2025-07-24T04:20:35.7305850Z             >>>                         device_ids=[args.local_rank],
2025-07-24T04:20:35.7305930Z             >>>                         output_device=args.local_rank)
2025-07-24T04:20:35.7305980Z         
2025-07-24T04:20:35.7306130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7306170Z     
2025-07-24T04:20:35.7306220Z       warnings.warn(msg)
2025-07-24T04:20:35.7306260Z     
2025-07-24T04:20:35.7306360Z --- Parse Warning: 41 / 136 ---
2025-07-24T04:20:35.7307090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=825.
2025-07-24T04:20:35.7307280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7307470Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-07-24T04:20:35.7307510Z     
2025-07-24T04:20:35.7307560Z             Args:
2025-07-24T04:20:35.7307750Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-07-24T04:20:35.7307890Z                 process_group (optional): process group to scope synchronization,
2025-07-24T04:20:35.7307970Z                     default is the whole world
2025-07-24T04:20:35.7308010Z     
2025-07-24T04:20:35.7308060Z             Returns:
2025-07-24T04:20:35.7308230Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-07-24T04:20:35.7308370Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-07-24T04:20:35.7308500Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-07-24T04:20:35.7308550Z                 instead.
2025-07-24T04:20:35.7308590Z     
2025-07-24T04:20:35.7308630Z             Example::
2025-07-24T04:20:35.7308670Z     
2025-07-24T04:20:35.7308750Z                 >>> # Network with nn.BatchNorm layer
2025-07-24T04:20:35.7308840Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7308920Z                 >>> module = torch.nn.Sequential(
2025-07-24T04:20:35.7308990Z                 >>>            torch.nn.Linear(20, 100),
2025-07-24T04:20:35.7309070Z                 >>>            torch.nn.BatchNorm1d(100),
2025-07-24T04:20:35.7309120Z                 >>>          ).cuda()
2025-07-24T04:20:35.7309200Z                 >>> # creating process group (optional)
2025-07-24T04:20:35.7309290Z                 >>> # ranks is a list of int identifying rank ids.
2025-07-24T04:20:35.7309350Z                 >>> ranks = list(range(8))
2025-07-24T04:20:35.7309420Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-07-24T04:20:35.7309510Z                 >>> # Note: every rank calls into new_group for every
2025-07-24T04:20:35.7309610Z                 >>> # process group created, even if that rank is not
2025-07-24T04:20:35.7309660Z                 >>> # part of the group.
2025-07-24T04:20:35.7309740Z                 >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7309890Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-07-24T04:20:35.7310020Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-07-24T04:20:35.7310200Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-07-24T04:20:35.7310250Z     
2025-07-24T04:20:35.7310290Z             
2025-07-24T04:20:35.7310440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7310480Z     
2025-07-24T04:20:35.7310530Z       warnings.warn(msg)
2025-07-24T04:20:35.7310570Z     
2025-07-24T04:20:35.7310670Z --- Parse Warning: 42 / 136 ---
2025-07-24T04:20:35.7311330Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=406.
2025-07-24T04:20:35.7311490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7311580Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-07-24T04:20:35.7311620Z     
2025-07-24T04:20:35.7311780Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-07-24T04:20:35.7311820Z     
2025-07-24T04:20:35.7311960Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-07-24T04:20:35.7312130Z         including the indices of the maximal values and computes a partial inverse
2025-07-24T04:20:35.7312230Z         in which all non-maximal values are set to zero.
2025-07-24T04:20:35.7312270Z     
2025-07-24T04:20:35.7312310Z         Note:
2025-07-24T04:20:35.7312500Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-07-24T04:20:35.7312750Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-07-24T04:20:35.7312790Z     
2025-07-24T04:20:35.7312970Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-07-24T04:20:35.7313080Z                   sizes. Hence, the inversion process can get ambiguous.
2025-07-24T04:20:35.7313220Z                   To accommodate this, you can provide the needed output size
2025-07-24T04:20:35.7313350Z                   as an additional argument :attr:`output_size` in the forward call.
2025-07-24T04:20:35.7313420Z                   See the Inputs and Example below.
2025-07-24T04:20:35.7313460Z     
2025-07-24T04:20:35.7313510Z         Args:
2025-07-24T04:20:35.7313620Z             kernel_size (int or tuple): Size of the max pooling window.
2025-07-24T04:20:35.7313720Z             stride (int or tuple): Stride of the max pooling window.
2025-07-24T04:20:35.7313810Z                 It is set to :attr:`kernel_size` by default.
2025-07-24T04:20:35.7313920Z             padding (int or tuple): Padding that was added to the input
2025-07-24T04:20:35.7313970Z     
2025-07-24T04:20:35.7314010Z         Inputs:
2025-07-24T04:20:35.7314080Z             - `input`: the input Tensor to invert
2025-07-24T04:20:35.7314210Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-07-24T04:20:35.7314310Z             - `output_size` (optional): the targeted output size
2025-07-24T04:20:35.7314350Z     
2025-07-24T04:20:35.7314390Z         Shape:
2025-07-24T04:20:35.7314510Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-07-24T04:20:35.7314650Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-07-24T04:20:35.7314690Z     
2025-07-24T04:20:35.7314730Z               .. math::
2025-07-24T04:20:35.7314900Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-07-24T04:20:35.7314940Z     
2025-07-24T04:20:35.7314990Z               .. math::
2025-07-24T04:20:35.7315140Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-07-24T04:20:35.7315180Z     
2025-07-24T04:20:35.7315290Z               or as given by :attr:`output_size` in the call operator
2025-07-24T04:20:35.7315330Z     
2025-07-24T04:20:35.7315370Z         Example::
2025-07-24T04:20:35.7315410Z     
2025-07-24T04:20:35.7315520Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-07-24T04:20:35.7315600Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-07-24T04:20:35.7315680Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-07-24T04:20:35.7315750Z                                         [ 5.,  6.,  7.,  8.],
2025-07-24T04:20:35.7315810Z                                         [ 9., 10., 11., 12.],
2025-07-24T04:20:35.7315890Z                                         [13., 14., 15., 16.]]]])
2025-07-24T04:20:35.7315950Z             >>> output, indices = pool(input)
2025-07-24T04:20:35.7316010Z             >>> unpool(output, indices)
2025-07-24T04:20:35.7316080Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-07-24T04:20:35.7316130Z                       [  0.,   6.,   0.,   8.],
2025-07-24T04:20:35.7316190Z                       [  0.,   0.,   0.,   0.],
2025-07-24T04:20:35.7316250Z                       [  0.,  14.,   0.,  16.]]]])
2025-07-24T04:20:35.7316380Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-07-24T04:20:35.7316500Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-07-24T04:20:35.7316570Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-07-24T04:20:35.7316640Z                                         [11., 12., 13., 14., 15.],
2025-07-24T04:20:35.7316720Z                                         [16., 17., 18., 19., 20.]]]])
2025-07-24T04:20:35.7316780Z             >>> output, indices = pool(input)
2025-07-24T04:20:35.7316910Z             >>> # This call will not work without specifying output_size
2025-07-24T04:20:35.7317010Z             >>> unpool(output, indices, output_size=input.size())
2025-07-24T04:20:35.7317090Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-07-24T04:20:35.7317160Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-07-24T04:20:35.7317220Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-07-24T04:20:35.7317310Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-07-24T04:20:35.7317350Z     
2025-07-24T04:20:35.7317390Z     
2025-07-24T04:20:35.7317430Z         
2025-07-24T04:20:35.7317590Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7317630Z     
2025-07-24T04:20:35.7317680Z       warnings.warn(msg)
2025-07-24T04:20:35.7317720Z     
2025-07-24T04:20:35.7317820Z --- Parse Warning: 43 / 136 ---
2025-07-24T04:20:35.7318530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1718.
2025-07-24T04:20:35.7318690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7318810Z     Creates a criterion that measures the triplet loss given input
2025-07-24T04:20:35.7318920Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-07-24T04:20:35.7319060Z         positive, and negative examples, respectively), and a nonnegative,
2025-07-24T04:20:35.7319210Z         real-valued function ("distance function") used to compute the relationship
2025-07-24T04:20:35.7319340Z         between the anchor and positive example ("positive distance") and the
2025-07-24T04:20:35.7319440Z         anchor and negative example ("negative distance").
2025-07-24T04:20:35.7319480Z     
2025-07-24T04:20:35.7322220Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-07-24T04:20:35.7322280Z         can be described as:
2025-07-24T04:20:35.7322320Z     
2025-07-24T04:20:35.7322370Z         .. math::
2025-07-24T04:20:35.7322460Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-07-24T04:20:35.7322560Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-07-24T04:20:35.7322600Z     
2025-07-24T04:20:35.7322760Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-07-24T04:20:35.7322930Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-07-24T04:20:35.7323080Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-07-24T04:20:35.7323230Z         between the positive and negative distances that is required for the loss to
2025-07-24T04:20:35.7323370Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-07-24T04:20:35.7323440Z         that the distance function can handle.
2025-07-24T04:20:35.7323480Z     
2025-07-24T04:20:35.7323550Z         If :attr:`reduction` is not ``'none'``
2025-07-24T04:20:35.7323610Z         (default ``'mean'``), then:
2025-07-24T04:20:35.7323650Z     
2025-07-24T04:20:35.7323690Z         .. math::
2025-07-24T04:20:35.7323740Z             \ell(x, y) =
2025-07-24T04:20:35.7323790Z             \begin{cases}
2025-07-24T04:20:35.7323920Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-07-24T04:20:35.7324080Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-07-24T04:20:35.7324120Z             \end{cases}
2025-07-24T04:20:35.7324160Z     
2025-07-24T04:20:35.7324310Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-07-24T04:20:35.7324460Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-07-24T04:20:35.7324520Z     
2025-07-24T04:20:35.7324560Z         Args:
2025-07-24T04:20:35.7324720Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-07-24T04:20:35.7324870Z                 quantifies the closeness of two tensors. If not specified,
2025-07-24T04:20:35.7324980Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-07-24T04:20:35.7325160Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-07-24T04:20:35.7325330Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-07-24T04:20:35.7325500Z                 margins penalize cases where the negative examples are not distant enough from the
2025-07-24T04:20:35.7325610Z                 anchors, relative to the positives. Default: :math:`1`.
2025-07-24T04:20:35.7325760Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-07-24T04:20:35.7325910Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-07-24T04:20:35.7326060Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-07-24T04:20:35.7326220Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-07-24T04:20:35.7326310Z                 the loss computation. Default: ``False``.
2025-07-24T04:20:35.7326480Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-07-24T04:20:35.7326600Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-07-24T04:20:35.7326710Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-07-24T04:20:35.7326850Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-07-24T04:20:35.7326890Z     
2025-07-24T04:20:35.7326940Z     
2025-07-24T04:20:35.7326980Z         Shape:
2025-07-24T04:20:35.7327130Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-07-24T04:20:35.7327210Z               as supported by the distance function.
2025-07-24T04:20:35.7327370Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-07-24T04:20:35.7327420Z               otherwise.
2025-07-24T04:20:35.7327460Z     
2025-07-24T04:20:35.7327500Z         Examples:
2025-07-24T04:20:35.7327540Z     
2025-07-24T04:20:35.7327600Z         >>> # Initialize embeddings
2025-07-24T04:20:35.7327670Z         >>> embedding = nn.Embedding(1000, 128)
2025-07-24T04:20:35.7327750Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:35.7327830Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:35.7327910Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-07-24T04:20:35.7327970Z         >>> anchor = embedding(anchor_ids)
2025-07-24T04:20:35.7328040Z         >>> positive = embedding(positive_ids)
2025-07-24T04:20:35.7328110Z         >>> negative = embedding(negative_ids)
2025-07-24T04:20:35.7328150Z         >>>
2025-07-24T04:20:35.7328210Z         >>> # Built-in Distance Function
2025-07-24T04:20:35.7328270Z         >>> triplet_loss = \
2025-07-24T04:20:35.7328430Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-07-24T04:20:35.7328530Z         >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:35.7328590Z         >>> output.backward()
2025-07-24T04:20:35.7328660Z         >>>
2025-07-24T04:20:35.7328720Z         >>> # Custom Distance Function
2025-07-24T04:20:35.7328770Z         >>> def l_infinity(x1, x2):
2025-07-24T04:20:35.7328870Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-07-24T04:20:35.7328910Z         >>>
2025-07-24T04:20:35.7329030Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-07-24T04:20:35.7329080Z         >>> triplet_loss = (
2025-07-24T04:20:35.7329280Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-07-24T04:20:35.7329370Z         >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:35.7329430Z         >>> output.backward()
2025-07-24T04:20:35.7329490Z         >>>
2025-07-24T04:20:35.7329560Z         >>> # Custom Distance Function (Lambda)
2025-07-24T04:20:35.7329610Z         >>> triplet_loss = (
2025-07-24T04:20:35.7329710Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-07-24T04:20:35.7329850Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-07-24T04:20:35.7329940Z         >>> output = triplet_loss(anchor, positive, negative)
2025-07-24T04:20:35.7330000Z         >>> output.backward()
2025-07-24T04:20:35.7330040Z     
2025-07-24T04:20:35.7330080Z         Reference:
2025-07-24T04:20:35.7330260Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-07-24T04:20:35.7330400Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-07-24T04:20:35.7330440Z         
2025-07-24T04:20:35.7330600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-07-24T04:20:35.7330640Z     
2025-07-24T04:20:35.7330690Z       warnings.warn(msg)
2025-07-24T04:20:35.7330730Z     
2025-07-24T04:20:35.7330850Z --- Parse Warning: 44 / 136 ---
2025-07-24T04:20:35.7331490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1852.
2025-07-24T04:20:35.7331650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7331740Z     The Connectionist Temporal Classification loss.
2025-07-24T04:20:35.7331780Z     
2025-07-24T04:20:35.7332000Z         Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-07-24T04:20:35.7332210Z         probability of possible alignments of input to target, producing a loss value which is differentiable
2025-07-24T04:20:35.7332410Z         with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-07-24T04:20:35.7332600Z         limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-07-24T04:20:35.7332640Z     
2025-07-24T04:20:35.7332680Z         Args:
2025-07-24T04:20:35.7332790Z             blank (int, optional): blank label. Default :math:`0`.
2025-07-24T04:20:35.7332930Z             reduction (str, optional): Specifies the reduction to apply to the output:
2025-07-24T04:20:35.7333050Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-07-24T04:20:35.7333180Z                 ``'mean'``: the output losses will be divided by the target lengths and
2025-07-24T04:20:35.7333330Z                 then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-07-24T04:20:35.7333390Z                 Default: ``'mean'``
2025-07-24T04:20:35.7333460Z             zero_infinity (bool, optional):
2025-07-24T04:20:35.7333580Z                 Whether to zero infinite losses and the associated gradients.
2025-07-24T04:20:35.7333640Z                 Default: ``False``
2025-07-24T04:20:35.7333750Z                 Infinite losses mainly occur when the inputs are too short
2025-07-24T04:20:35.7333850Z                 to be aligned to the targets.
2025-07-24T04:20:35.7333890Z     
2025-07-24T04:20:35.7333930Z         Shape:
2025-07-24T04:20:35.7334050Z             - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-07-24T04:20:35.7334120Z               where :math:`T = \text{input length}`,
2025-07-24T04:20:35.7334190Z               :math:`N = \text{batch size}`, and
2025-07-24T04:20:35.7334290Z               :math:`C = \text{number of classes (including blank)}`.
2025-07-24T04:20:35.7334450Z               The logarithmized probabilities of the outputs (e.g. obtained with
2025-07-24T04:20:35.7334530Z               :func:`torch.nn.functional.log_softmax`).
2025-07-24T04:20:35.7334640Z             - Targets: Tensor of size :math:`(N, S)` or
2025-07-24T04:20:35.7334740Z               :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-07-24T04:20:35.7334840Z               where :math:`N = \text{batch size}` and
2025-07-24T04:20:35.7334940Z               :math:`S = \text{max target length, if shape is } (N, S)`.
2025-07-24T04:20:35.7335070Z               It represents the target sequences. Each element in the target
2025-07-24T04:20:35.7335210Z               sequence is a class index. And the target index cannot be blank (default=0).
2025-07-24T04:20:35.7335310Z               In the :math:`(N, S)` form, targets are padded to the
2025-07-24T04:20:35.7335400Z               length of the longest sequence, and stacked.
2025-07-24T04:20:35.7335520Z               In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-07-24T04:20:35.7335600Z               the targets are assumed to be un-padded and
2025-07-24T04:20:35.7335680Z               concatenated within 1 dimension.
2025-07-24T04:20:35.7335800Z             - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-07-24T04:20:35.7335930Z               where :math:`N = \text{batch size}`. It represents the lengths of the
2025-07-24T04:20:35.7336050Z               inputs (must each be :math:`\leq T`). And the lengths are specified
2025-07-24T04:20:35.7336190Z               for each sequence to achieve masking under the assumption that sequences
2025-07-24T04:20:35.7336260Z               are padded to equal lengths.
2025-07-24T04:20:35.7336390Z             - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-07-24T04:20:35.7336520Z               where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-07-24T04:20:35.7336650Z               Lengths are specified for each sequence to achieve masking under the
2025-07-24T04:20:35.7336800Z               assumption that sequences are padded to equal lengths. If target shape is
2025-07-24T04:20:35.7336910Z               :math:`(N,S)`, target_lengths are effectively the stop index
2025-07-24T04:20:35.7337060Z               :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-07-24T04:20:35.7337180Z               each target in a batch. Lengths must each be :math:`\leq S`
2025-07-24T04:20:35.7337330Z               If the targets are given as a 1d tensor that is the concatenation of individual
2025-07-24T04:20:35.7337470Z               targets, the target_lengths must add up to the total length of the tensor.
2025-07-24T04:20:35.7337590Z             - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-07-24T04:20:35.7337730Z               ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-07-24T04:20:35.7337860Z               :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-07-24T04:20:35.7337900Z     
2025-07-24T04:20:35.7337950Z         Examples:
2025-07-24T04:20:35.7337990Z     
2025-07-24T04:20:35.7338050Z             >>> # Target are to be padded
2025-07-24T04:20:35.7338120Z             >>> T = 50  # Input sequence length
2025-07-24T04:20:35.7338200Z             >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:35.7338260Z             >>> N = 16  # Batch size
2025-07-24T04:20:35.7338420Z             >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-07-24T04:20:35.7338530Z             >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-07-24T04:20:35.7338580Z             >>>
2025-07-24T04:20:35.7338700Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-07-24T04:20:35.7338830Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-07-24T04:20:35.7338890Z             >>>
2025-07-24T04:20:35.7339010Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:35.7339170Z             >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-07-24T04:20:35.7339210Z             >>>
2025-07-24T04:20:35.7339340Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-07-24T04:20:35.7339450Z             >>> target_lengths = torch.randint(
2025-07-24T04:20:35.7339500Z             ...     low=S_min,
2025-07-24T04:20:35.7339550Z             ...     high=S,
2025-07-24T04:20:35.7339600Z             ...     size=(N,),
2025-07-24T04:20:35.7339660Z             ...     dtype=torch.long,
2025-07-24T04:20:35.7339700Z             ... )
2025-07-24T04:20:35.7339760Z             >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:35.7339870Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:35.7339930Z             >>> loss.backward()
2025-07-24T04:20:35.7339970Z             >>>
2025-07-24T04:20:35.7340010Z             >>>
2025-07-24T04:20:35.7340080Z             >>> # Target are to be un-padded
2025-07-24T04:20:35.7340140Z             >>> T = 50  # Input sequence length
2025-07-24T04:20:35.7340230Z             >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:35.7340280Z             >>> N = 16  # Batch size
2025-07-24T04:20:35.7340320Z             >>>
2025-07-24T04:20:35.7340450Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-07-24T04:20:35.7340570Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-07-24T04:20:35.7340710Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-07-24T04:20:35.7340750Z             >>>
2025-07-24T04:20:35.7340870Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:35.7341010Z             >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-07-24T04:20:35.7341070Z             >>> target = torch.randint(
2025-07-24T04:20:35.7341120Z             ...     low=1,
2025-07-24T04:20:35.7341170Z             ...     high=C,
2025-07-24T04:20:35.7341240Z             ...     size=(sum(target_lengths),),
2025-07-24T04:20:35.7341290Z             ...     dtype=torch.long,
2025-07-24T04:20:35.7341340Z             ... )
2025-07-24T04:20:35.7341400Z             >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:35.7341510Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:35.7341560Z             >>> loss.backward()
2025-07-24T04:20:35.7341610Z             >>>
2025-07-24T04:20:35.7341650Z             >>>
2025-07-24T04:20:35.7341760Z             >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-07-24T04:20:35.7341830Z             >>> T = 50  # Input sequence length
2025-07-24T04:20:35.7341910Z             >>> C = 20  # Number of classes (including blank)
2025-07-24T04:20:35.7341950Z             >>>
2025-07-24T04:20:35.7342070Z             >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-07-24T04:20:35.7342160Z             >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-07-24T04:20:35.7342280Z             >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-07-24T04:20:35.7342380Z             >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-07-24T04:20:35.7342420Z             >>>
2025-07-24T04:20:35.7342540Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-07-24T04:20:35.7342700Z             >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-07-24T04:20:35.7342760Z             >>> target = torch.randint(
2025-07-24T04:20:35.7342810Z             ...     low=1,
2025-07-24T04:20:35.7342860Z             ...     high=C,
2025-07-24T04:20:35.7342920Z             ...     size=(target_lengths,),
2025-07-24T04:20:35.7342970Z             ...     dtype=torch.long,
2025-07-24T04:20:35.7343030Z             ... )
2025-07-24T04:20:35.7343090Z             >>> ctc_loss = nn.CTCLoss()
2025-07-24T04:20:35.7343200Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-07-24T04:20:35.7343280Z             >>> loss.backward()
2025-07-24T04:20:35.7343320Z     
2025-07-24T04:20:35.7343360Z         Reference:
2025-07-24T04:20:35.7343490Z             A. Graves et al.: Connectionist Temporal Classification:
2025-07-24T04:20:35.7343630Z             Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-07-24T04:20:35.7343730Z             https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-07-24T04:20:35.7343770Z     
2025-07-24T04:20:35.7343820Z         Note:
2025-07-24T04:20:35.7343970Z             In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-07-24T04:20:35.7344120Z             in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-07-24T04:20:35.7344260Z             :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-07-24T04:20:35.7344320Z             dtype :attr:`torch.int32`.
2025-07-24T04:20:35.7344360Z     
2025-07-24T04:20:35.7344530Z             The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-07-24T04:20:35.7344570Z     
2025-07-24T04:20:35.7344610Z     
2025-07-24T04:20:35.7344650Z         Note:
2025-07-24T04:20:35.7344800Z             In some circumstances when using the CUDA backend with CuDNN, this operator
2025-07-24T04:20:35.7344960Z             may select a nondeterministic algorithm to increase performance. If this is
2025-07-24T04:20:35.7345100Z             undesirable, you can try to make the operation deterministic (potentially at
2025-07-24T04:20:35.7345250Z             a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-07-24T04:20:35.7345290Z             True``.
2025-07-24T04:20:35.7345410Z             Please see the notes on :doc:`/notes/randomness` for background.
2025-07-24T04:20:35.7345460Z         
2025-07-24T04:20:35.7345610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7345650Z     
2025-07-24T04:20:35.7345700Z       warnings.warn(msg)
2025-07-24T04:20:35.7345740Z     
2025-07-24T04:20:35.7345840Z --- Parse Warning: 45 / 136 ---
2025-07-24T04:20:35.7346540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-07-24T04:20:35.7346700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7346790Z     Take in and process masked source/target sequences.
2025-07-24T04:20:35.7346830Z     
2025-07-24T04:20:35.7346880Z             .. note::
2025-07-24T04:20:35.7346920Z     
2025-07-24T04:20:35.7347150Z                 If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-07-24T04:20:35.7347240Z                 not allowed to participate in the attention,
2025-07-24T04:20:35.7347360Z                 which is the opposite of the definition for :attr:`attn_mask`
2025-07-24T04:20:35.7347480Z                 in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-07-24T04:20:35.7347520Z     
2025-07-24T04:20:35.7347560Z             Args:
2025-07-24T04:20:35.7347680Z                 src: the sequence to the encoder (required).
2025-07-24T04:20:35.7347760Z                 tgt: the sequence to the decoder (required).
2025-07-24T04:20:35.7347880Z                 src_mask: the additive mask for the src sequence (optional).
2025-07-24T04:20:35.7347990Z                 tgt_mask: the additive mask for the tgt sequence (optional).
2025-07-24T04:20:35.7348110Z                 memory_mask: the additive mask for the encoder output (optional).
2025-07-24T04:20:35.7348350Z                 src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-07-24T04:20:35.7348490Z                 tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-07-24T04:20:35.7348660Z                 memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-07-24T04:20:35.7348810Z                 src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-07-24T04:20:35.7348910Z                     Default: ``None``; try to detect a causal mask.
2025-07-24T04:20:35.7348960Z                     Warning:
2025-07-24T04:20:35.7349060Z                     ``src_is_causal`` provides a hint that ``src_mask`` is
2025-07-24T04:20:35.7349170Z                     the causal mask. Providing incorrect hints can result in
2025-07-24T04:20:35.7349280Z                     incorrect execution, including forward and backward
2025-07-24T04:20:35.7349330Z                     compatibility.
2025-07-24T04:20:35.7349460Z                 tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-07-24T04:20:35.7349550Z                     Default: ``None``; try to detect a causal mask.
2025-07-24T04:20:35.7349610Z                     Warning:
2025-07-24T04:20:35.7349700Z                     ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-07-24T04:20:35.7349810Z                     the causal mask. Providing incorrect hints can result in
2025-07-24T04:20:35.7349920Z                     incorrect execution, including forward and backward
2025-07-24T04:20:35.7349970Z                     compatibility.
2025-07-24T04:20:35.7350080Z                 memory_is_causal: If specified, applies a causal mask as
2025-07-24T04:20:35.7350140Z                     ``memory_mask``.
2025-07-24T04:20:35.7350190Z                     Default: ``False``.
2025-07-24T04:20:35.7350240Z                     Warning:
2025-07-24T04:20:35.7350330Z                     ``memory_is_causal`` provides a hint that
2025-07-24T04:20:35.7350430Z                     ``memory_mask`` is the causal mask. Providing incorrect
2025-07-24T04:20:35.7350530Z                     hints can result in incorrect execution, including
2025-07-24T04:20:35.7350610Z                     forward and backward compatibility.
2025-07-24T04:20:35.7350650Z     
2025-07-24T04:20:35.7350700Z             Shape:
2025-07-24T04:20:35.7350860Z                 - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-07-24T04:20:35.7350930Z                   `(N, S, E)` if `batch_first=True`.
2025-07-24T04:20:35.7351080Z                 - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-07-24T04:20:35.7351150Z                   `(N, T, E)` if `batch_first=True`.
2025-07-24T04:20:35.7351270Z                 - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-07-24T04:20:35.7351390Z                 - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-07-24T04:20:35.7351450Z                 - memory_mask: :math:`(T, S)`.
2025-07-24T04:20:35.7351600Z                 - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-07-24T04:20:35.7351750Z                 - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-07-24T04:20:35.7351910Z                 - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-07-24T04:20:35.7351950Z     
2025-07-24T04:20:35.7352160Z                 Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-07-24T04:20:35.7352290Z                 positions. If a BoolTensor is provided, positions with ``True``
2025-07-24T04:20:35.7352450Z                 are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-07-24T04:20:35.7352550Z                 is provided, it will be added to the attention weight.
2025-07-24T04:20:35.7352740Z                 [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-07-24T04:20:35.7352890Z                 the attention. If a BoolTensor is provided, the positions with the
2025-07-24T04:20:35.7353110Z                 value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-07-24T04:20:35.7353150Z     
2025-07-24T04:20:35.7353320Z                 - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-07-24T04:20:35.7353400Z                   `(N, T, E)` if `batch_first=True`.
2025-07-24T04:20:35.7353440Z     
2025-07-24T04:20:35.7353590Z                 Note: Due to the multi-head attention architecture in the transformer model,
2025-07-24T04:20:35.7353740Z                 the output sequence length of a transformer is same as the input sequence
2025-07-24T04:20:35.7353810Z                 (i.e. target) length of the decoder.
2025-07-24T04:20:35.7353850Z     
2025-07-24T04:20:35.7354050Z                 where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-07-24T04:20:35.7354130Z                 batch size, :math:`E` is the feature number
2025-07-24T04:20:35.7354170Z     
2025-07-24T04:20:35.7354220Z             Examples:
2025-07-24T04:20:35.7354280Z                 >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7354350Z                 >>> output = transformer_model(
2025-07-24T04:20:35.7354440Z                 ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-07-24T04:20:35.7354490Z                 ... )
2025-07-24T04:20:35.7354530Z             
2025-07-24T04:20:35.7354680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7354730Z     
2025-07-24T04:20:35.7354780Z       warnings.warn(msg)
2025-07-24T04:20:35.7354820Z     
2025-07-24T04:20:35.7354920Z --- Parse Warning: 46 / 136 ---
2025-07-24T04:20:35.7355580Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-07-24T04:20:35.7355740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7355940Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-07-24T04:20:35.7355980Z     
2025-07-24T04:20:35.7356170Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-07-24T04:20:35.7356240Z         and with 2D inputs, this class
2025-07-24T04:20:35.7356280Z     
2025-07-24T04:20:35.7356460Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-07-24T04:20:35.7356650Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-07-24T04:20:35.7356830Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-07-24T04:20:35.7356870Z     
2025-07-24T04:20:35.7357080Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-07-24T04:20:35.7357130Z         operations.
2025-07-24T04:20:35.7357170Z     
2025-07-24T04:20:35.7357330Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-07-24T04:20:35.7357500Z         pass. This scales the output of the Embedding before performing a weighted
2025-07-24T04:20:35.7357650Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-07-24T04:20:35.7357790Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-07-24T04:20:35.7357850Z         :attr:`per_sample_weights`.
2025-07-24T04:20:35.7357890Z     
2025-07-24T04:20:35.7357930Z         Args:
2025-07-24T04:20:35.7358070Z             num_embeddings (int): size of the dictionary of embeddings
2025-07-24T04:20:35.7358170Z             embedding_dim (int): the size of each embedding vector
2025-07-24T04:20:35.7358390Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-07-24T04:20:35.7358490Z                                         is renormalized to have norm :attr:`max_norm`.
2025-07-24T04:20:35.7358720Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-07-24T04:20:35.7358920Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-07-24T04:20:35.7359030Z                                                     the words in the mini-batch. Default ``False``.
2025-07-24T04:20:35.7359150Z                                                     Note: this option is not supported when ``mode="max"``.
2025-07-24T04:20:35.7359300Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-07-24T04:20:35.7359440Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-07-24T04:20:35.7359580Z                                      into consideration. ``"mean"`` computes the average of the values
2025-07-24T04:20:35.7359690Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-07-24T04:20:35.7359770Z                                      Default: ``"mean"``
2025-07-24T04:20:35.7359960Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-07-24T04:20:35.7360120Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-07-24T04:20:35.7360210Z                                      supported when ``mode="max"``.
2025-07-24T04:20:35.7360430Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-07-24T04:20:35.7360570Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-07-24T04:20:35.7360770Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-07-24T04:20:35.7360940Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-07-24T04:20:35.7361090Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-07-24T04:20:35.7361250Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-07-24T04:20:35.7361410Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-07-24T04:20:35.7361550Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-07-24T04:20:35.7361620Z                                          reduction.
2025-07-24T04:20:35.7361660Z     
2025-07-24T04:20:35.7361710Z         Attributes:
2025-07-24T04:20:35.7361900Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-07-24T04:20:35.7361990Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-07-24T04:20:35.7362060Z     
2025-07-24T04:20:35.7362100Z         Examples::
2025-07-24T04:20:35.7362140Z     
2025-07-24T04:20:35.7362250Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-07-24T04:20:35.7362350Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-07-24T04:20:35.7362420Z             >>> # a batch of 2 samples of 4 indices each
2025-07-24T04:20:35.7362540Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-07-24T04:20:35.7362650Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-07-24T04:20:35.7362740Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:35.7362830Z             >>> embedding_sum(input, offsets)
2025-07-24T04:20:35.7362900Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-07-24T04:20:35.7362960Z                     [ 1.1306, -2.5798, -1.0044]])
2025-07-24T04:20:35.7363020Z     
2025-07-24T04:20:35.7363090Z             >>> # Example with padding_idx
2025-07-24T04:20:35.7363220Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-07-24T04:20:35.7363330Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-07-24T04:20:35.7363420Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-07-24T04:20:35.7363490Z             >>> embedding_sum(input, offsets)
2025-07-24T04:20:35.7363550Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-07-24T04:20:35.7363620Z                     [-0.7082,  3.2145, -2.6251]])
2025-07-24T04:20:35.7363660Z     
2025-07-24T04:20:35.7363770Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-07-24T04:20:35.7363860Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-07-24T04:20:35.7363960Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-07-24T04:20:35.7364020Z                     embedding.weight,
2025-07-24T04:20:35.7364100Z                     padding_idx=embedding.padding_idx,
2025-07-24T04:20:35.7364150Z                     mode='sum')
2025-07-24T04:20:35.7364200Z         
2025-07-24T04:20:35.7364350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7364390Z     
2025-07-24T04:20:35.7364440Z       warnings.warn(msg)
2025-07-24T04:20:35.7364480Z     
2025-07-24T04:20:35.7364580Z --- Parse Warning: 47 / 136 ---
2025-07-24T04:20:35.7365280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2706.
2025-07-24T04:20:35.7365440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7365480Z     
2025-07-24T04:20:35.7365630Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-07-24T04:20:35.7365670Z     
2025-07-24T04:20:35.7365820Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-07-24T04:20:35.7365940Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-07-24T04:20:35.7365980Z     
2025-07-24T04:20:35.7366020Z     Args:
2025-07-24T04:20:35.7366160Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-07-24T04:20:35.7366300Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-07-24T04:20:35.7366430Z             matters and it needs to match with corresponding isend/irecv on the
2025-07-24T04:20:35.7366480Z             remote end.
2025-07-24T04:20:35.7366520Z     
2025-07-24T04:20:35.7366570Z     Returns:
2025-07-24T04:20:35.7366710Z         A list of distributed request objects returned by calling the corresponding
2025-07-24T04:20:35.7366770Z         op in the op_list.
2025-07-24T04:20:35.7366810Z     
2025-07-24T04:20:35.7366850Z     Examples:
2025-07-24T04:20:35.7366950Z         >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:35.7367070Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-07-24T04:20:35.7367160Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-07-24T04:20:35.7367290Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-07-24T04:20:35.7367350Z         >>> recv_op = dist.P2POp(
2025-07-24T04:20:35.7367460Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-07-24T04:20:35.7367530Z         ... )
2025-07-24T04:20:35.7367620Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-07-24T04:20:35.7367670Z         >>> for req in reqs:
2025-07-24T04:20:35.7367740Z         >>>     req.wait()
2025-07-24T04:20:35.7367790Z         >>> recv_tensor
2025-07-24T04:20:35.7367840Z         tensor([2, 3])     # Rank 0
2025-07-24T04:20:35.7367920Z         tensor([0, 1])     # Rank 1
2025-07-24T04:20:35.7367960Z     
2025-07-24T04:20:35.7368110Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-07-24T04:20:35.7368250Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-07-24T04:20:35.7368310Z         lead to unexpected hang issues.
2025-07-24T04:20:35.7368350Z     
2025-07-24T04:20:35.7368480Z         In addition, if this API is the first collective call in the ``group``
2025-07-24T04:20:35.7368610Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-07-24T04:20:35.7368750Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-07-24T04:20:35.7368900Z         not the first collective call in the ``group``, batched P2P operations
2025-07-24T04:20:35.7369020Z         involving only a subset of ranks of the ``group`` are allowed.
2025-07-24T04:20:35.7369060Z     
2025-07-24T04:20:35.7369210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7369250Z     
2025-07-24T04:20:35.7369310Z       warnings.warn(msg)
2025-07-24T04:20:35.7369350Z     
2025-07-24T04:20:35.7369450Z --- Parse Warning: 48 / 136 ---
2025-07-24T04:20:35.7370130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2838.
2025-07-24T04:20:35.7370290Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7370330Z     
2025-07-24T04:20:35.7370490Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-07-24T04:20:35.7370530Z     
2025-07-24T04:20:35.7370680Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-07-24T04:20:35.7370720Z     
2025-07-24T04:20:35.7370780Z     Complex tensors are supported.
2025-07-24T04:20:35.7370820Z     
2025-07-24T04:20:35.7370860Z     Args:
2025-07-24T04:20:35.7370990Z         tensor (Tensor): Input and output of the collective. The function
2025-07-24T04:20:35.7371040Z             operates in-place.
2025-07-24T04:20:35.7371110Z         op (optional): One of the values from
2025-07-24T04:20:35.7371180Z             ``torch.distributed.ReduceOp``
2025-07-24T04:20:35.7371300Z             enum.  Specifies an operation used for element-wise reductions.
2025-07-24T04:20:35.7371440Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7371520Z             the default process group will be used.
2025-07-24T04:20:35.7371640Z         async_op (bool, optional): Whether this op should be an async op
2025-07-24T04:20:35.7371680Z     
2025-07-24T04:20:35.7371730Z     Returns:
2025-07-24T04:20:35.7371810Z         Async work handle, if async_op is set to True.
2025-07-24T04:20:35.7371900Z         None, if not async_op or if not part of the group
2025-07-24T04:20:35.7371940Z     
2025-07-24T04:20:35.7372010Z     Examples:
2025-07-24T04:20:35.7372070Z         >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:35.7372160Z         >>> # All tensors below are of torch.int64 type.
2025-07-24T04:20:35.7372230Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7372300Z         >>> device = torch.device(f"cuda:{rank}")
2025-07-24T04:20:35.7372440Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-07-24T04:20:35.7372510Z         >>> tensor
2025-07-24T04:20:35.7372580Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7372640Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7372750Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-07-24T04:20:35.7372800Z         >>> tensor
2025-07-24T04:20:35.7372860Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7372950Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7372990Z     
2025-07-24T04:20:35.7373080Z         >>> # All tensors below are of torch.cfloat type.
2025-07-24T04:20:35.7373150Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7373210Z         >>> tensor = torch.tensor(
2025-07-24T04:20:35.7373300Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-07-24T04:20:35.7373350Z         ... ) + 2 * rank * (1 + 1j)
2025-07-24T04:20:35.7373400Z         >>> tensor
2025-07-24T04:20:35.7373480Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7373570Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7373650Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-07-24T04:20:35.7373690Z         >>> tensor
2025-07-24T04:20:35.7373770Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7373860Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7373900Z     
2025-07-24T04:20:35.7373940Z     
2025-07-24T04:20:35.7374090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7374130Z     
2025-07-24T04:20:35.7374190Z       warnings.warn(msg)
2025-07-24T04:20:35.7374220Z     
2025-07-24T04:20:35.7376950Z --- Parse Warning: 49 / 136 ---
2025-07-24T04:20:35.7377660Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3198.
2025-07-24T04:20:35.7377820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7377860Z     
2025-07-24T04:20:35.7378000Z     Gathers picklable objects from the whole group in a single process.
2025-07-24T04:20:35.7378040Z     
2025-07-24T04:20:35.7378180Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-07-24T04:20:35.7378280Z     object must be picklable in order to be gathered.
2025-07-24T04:20:35.7378320Z     
2025-07-24T04:20:35.7378360Z     Args:
2025-07-24T04:20:35.7378440Z         obj (Any): Input object. Must be picklable.
2025-07-24T04:20:35.7378570Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-07-24T04:20:35.7378680Z             should be correctly sized as the size of the group for this
2025-07-24T04:20:35.7378810Z             collective and will contain the output. Must be ``None`` on non-dst
2025-07-24T04:20:35.7378870Z             ranks. (default is ``None``)
2025-07-24T04:20:35.7379070Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-07-24T04:20:35.7379190Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-07-24T04:20:35.7379330Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7379450Z             the default process group will be used. Default is ``None``.
2025-07-24T04:20:35.7379720Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-07-24T04:20:35.7379760Z     
2025-07-24T04:20:35.7379800Z     Returns:
2025-07-24T04:20:35.7379920Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-07-24T04:20:35.7379970Z         output of the collective.
2025-07-24T04:20:35.7380020Z     
2025-07-24T04:20:35.7380150Z     .. note:: Note that this API differs slightly from the gather collective
2025-07-24T04:20:35.7380310Z         since it does not provide an async_op handle and thus will be a blocking
2025-07-24T04:20:35.7380350Z         call.
2025-07-24T04:20:35.7380400Z     
2025-07-24T04:20:35.7380560Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-07-24T04:20:35.7380690Z         of objects must be moved to the GPU device before communication takes
2025-07-24T04:20:35.7380810Z         place. In this case, the device used is given by
2025-07-24T04:20:35.7380950Z         ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-07-24T04:20:35.7381080Z         ensure that this is set so that each rank has an individual GPU, via
2025-07-24T04:20:35.7381140Z         ``torch.cuda.set_device()``.
2025-07-24T04:20:35.7381180Z     
2025-07-24T04:20:35.7381220Z     .. warning::
2025-07-24T04:20:35.7381360Z         Object collectives have a number of serious performance and scalability
2025-07-24T04:20:35.7381470Z         limitations.  See :ref:`object_collectives` for details.
2025-07-24T04:20:35.7381520Z     
2025-07-24T04:20:35.7381560Z     .. warning::
2025-07-24T04:20:35.7381680Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-07-24T04:20:35.7381820Z         known to be insecure. It is possible to construct malicious pickle data
2025-07-24T04:20:35.7381960Z         which will execute arbitrary code during unpickling. Only call this
2025-07-24T04:20:35.7382020Z         function with data you trust.
2025-07-24T04:20:35.7382060Z     
2025-07-24T04:20:35.7382100Z     .. warning::
2025-07-24T04:20:35.7382230Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-07-24T04:20:35.7382370Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-07-24T04:20:35.7382470Z         pickled. Please consider using :func:`gather` instead.
2025-07-24T04:20:35.7382510Z     
2025-07-24T04:20:35.7382560Z     Example::
2025-07-24T04:20:35.7382640Z         >>> # xdoctest: +SKIP("need process group init")
2025-07-24T04:20:35.7382750Z         >>> # Note: Process group initialization omitted on each rank.
2025-07-24T04:20:35.7382830Z         >>> import torch.distributed as dist
2025-07-24T04:20:35.7382890Z         >>> # Assumes world_size of 3.
2025-07-24T04:20:35.7383000Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-07-24T04:20:35.7383070Z         >>> output = [None for _ in gather_objects]
2025-07-24T04:20:35.7383120Z         >>> dist.gather_object(
2025-07-24T04:20:35.7383200Z         ...     gather_objects[dist.get_rank()],
2025-07-24T04:20:35.7383280Z         ...     output if dist.get_rank() == 0 else None,
2025-07-24T04:20:35.7383320Z         ...     dst=0
2025-07-24T04:20:35.7383370Z         ... )
2025-07-24T04:20:35.7383410Z         >>> # On rank 0
2025-07-24T04:20:35.7383450Z         >>> output
2025-07-24T04:20:35.7383500Z         ['foo', 12, {1: 2}]
2025-07-24T04:20:35.7383540Z     
2025-07-24T04:20:35.7383700Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7383740Z     
2025-07-24T04:20:35.7383790Z       warnings.warn(msg)
2025-07-24T04:20:35.7383830Z     
2025-07-24T04:20:35.7383950Z --- Parse Warning: 50 / 136 ---
2025-07-24T04:20:35.7384630Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3794.
2025-07-24T04:20:35.7384810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7384850Z     
2025-07-24T04:20:35.7384940Z     Gathers tensors from the whole group in a list.
2025-07-24T04:20:35.7384980Z     
2025-07-24T04:20:35.7385060Z     Complex and uneven sized tensors are supported.
2025-07-24T04:20:35.7385100Z     
2025-07-24T04:20:35.7385140Z     Args:
2025-07-24T04:20:35.7385270Z         tensor_list (list[Tensor]): Output list. It should contain
2025-07-24T04:20:35.7385400Z             correctly-sized tensors to be used for output of the collective.
2025-07-24T04:20:35.7385500Z             Uneven sized tensors are supported.
2025-07-24T04:20:35.7385610Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-07-24T04:20:35.7385770Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7385850Z             the default process group will be used.
2025-07-24T04:20:35.7385980Z         async_op (bool, optional): Whether this op should be an async op
2025-07-24T04:20:35.7386010Z     
2025-07-24T04:20:35.7386060Z     Returns:
2025-07-24T04:20:35.7386140Z         Async work handle, if async_op is set to True.
2025-07-24T04:20:35.7386230Z         None, if not async_op or if not part of the group
2025-07-24T04:20:35.7386270Z     
2025-07-24T04:20:35.7386320Z     Examples:
2025-07-24T04:20:35.7386400Z         >>> # xdoctest: +SKIP("need process group init")
2025-07-24T04:20:35.7386480Z         >>> # All tensors below are of torch.int64 dtype.
2025-07-24T04:20:35.7386560Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7386630Z         >>> device = torch.device(f"cuda:{rank}")
2025-07-24T04:20:35.7386680Z         >>> tensor_list = [
2025-07-24T04:20:35.7386810Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-07-24T04:20:35.7386850Z         ... ]
2025-07-24T04:20:35.7386900Z         >>> tensor_list
2025-07-24T04:20:35.7387030Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-07-24T04:20:35.7387150Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-07-24T04:20:35.7387290Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-07-24T04:20:35.7387330Z         >>> tensor
2025-07-24T04:20:35.7387400Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7387470Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7387540Z         >>> dist.all_gather(tensor_list, tensor)
2025-07-24T04:20:35.7387590Z         >>> tensor_list
2025-07-24T04:20:35.7387710Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-07-24T04:20:35.7387830Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-07-24T04:20:35.7387870Z     
2025-07-24T04:20:35.7387960Z         >>> # All tensors below are of torch.cfloat dtype.
2025-07-24T04:20:35.7388030Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7388080Z         >>> tensor_list = [
2025-07-24T04:20:35.7388210Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-07-24T04:20:35.7388260Z         ... ]
2025-07-24T04:20:35.7388310Z         >>> tensor_list
2025-07-24T04:20:35.7388460Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-07-24T04:20:35.7388610Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-07-24T04:20:35.7388670Z         >>> tensor = torch.tensor(
2025-07-24T04:20:35.7388760Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-07-24T04:20:35.7388820Z         ... ) + 2 * rank * (1 + 1j)
2025-07-24T04:20:35.7388860Z         >>> tensor
2025-07-24T04:20:35.7388940Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-07-24T04:20:35.7389060Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-07-24T04:20:35.7389130Z         >>> dist.all_gather(tensor_list, tensor)
2025-07-24T04:20:35.7389170Z         >>> tensor_list
2025-07-24T04:20:35.7389320Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-07-24T04:20:35.7389470Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-07-24T04:20:35.7389540Z     
2025-07-24T04:20:35.7389580Z     
2025-07-24T04:20:35.7389730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7389770Z     
2025-07-24T04:20:35.7389820Z       warnings.warn(msg)
2025-07-24T04:20:35.7389880Z     
2025-07-24T04:20:35.7389980Z --- Parse Warning: 51 / 136 ---
2025-07-24T04:20:35.7390700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4500.
2025-07-24T04:20:35.7390850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7390900Z     
2025-07-24T04:20:35.7391050Z     Split input tensor and then scatter the split list to all processes in a group.
2025-07-24T04:20:35.7391090Z     
2025-07-24T04:20:35.7391240Z     Later the received tensors are concatenated from all the processes in the group
2025-07-24T04:20:35.7391320Z     and returned as a single output tensor.
2025-07-24T04:20:35.7391360Z     
2025-07-24T04:20:35.7391420Z     Complex tensors are supported.
2025-07-24T04:20:35.7391460Z     
2025-07-24T04:20:35.7391500Z     Args:
2025-07-24T04:20:35.7391600Z         output (Tensor): Gathered concatenated output tensor.
2025-07-24T04:20:35.7391680Z         input (Tensor): Input tensor to scatter.
2025-07-24T04:20:35.7391820Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-07-24T04:20:35.7391940Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-07-24T04:20:35.7392000Z             equally by ``world_size``.
2025-07-24T04:20:35.7392130Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-07-24T04:20:35.7392260Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-07-24T04:20:35.7392310Z             equally by ``world_size``.
2025-07-24T04:20:35.7392450Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7392530Z             the default process group will be used.
2025-07-24T04:20:35.7392650Z         async_op (bool, optional): Whether this op should be an async op.
2025-07-24T04:20:35.7392700Z     
2025-07-24T04:20:35.7392740Z     Returns:
2025-07-24T04:20:35.7392820Z         Async work handle, if async_op is set to True.
2025-07-24T04:20:35.7392910Z         None, if not async_op or if not part of the group.
2025-07-24T04:20:35.7392960Z     
2025-07-24T04:20:35.7393000Z     .. warning::
2025-07-24T04:20:35.7393110Z         `all_to_all_single` is experimental and subject to change.
2025-07-24T04:20:35.7393150Z     
2025-07-24T04:20:35.7393190Z     Examples:
2025-07-24T04:20:35.7393260Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-07-24T04:20:35.7393330Z         >>> input = torch.arange(4) + rank * 4
2025-07-24T04:20:35.7393370Z         >>> input
2025-07-24T04:20:35.7393430Z         tensor([0, 1, 2, 3])     # Rank 0
2025-07-24T04:20:35.7393490Z         tensor([4, 5, 6, 7])     # Rank 1
2025-07-24T04:20:35.7393540Z         tensor([8, 9, 10, 11])   # Rank 2
2025-07-24T04:20:35.7393600Z         tensor([12, 13, 14, 15]) # Rank 3
2025-07-24T04:20:35.7393680Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-07-24T04:20:35.7393760Z         >>> dist.all_to_all_single(output, input)
2025-07-24T04:20:35.7393810Z         >>> output
2025-07-24T04:20:35.7393860Z         tensor([0, 4, 8, 12])    # Rank 0
2025-07-24T04:20:35.7393950Z         tensor([1, 5, 9, 13])    # Rank 1
2025-07-24T04:20:35.7394000Z         tensor([2, 6, 10, 14])   # Rank 2
2025-07-24T04:20:35.7394050Z         tensor([3, 7, 11, 15])   # Rank 3
2025-07-24T04:20:35.7394100Z     
2025-07-24T04:20:35.7394200Z         >>> # Essentially, it is similar to following operation:
2025-07-24T04:20:35.7394280Z         >>> scatter_list = list(input.chunk(world_size))
2025-07-24T04:20:35.7394360Z         >>> gather_list = list(output.chunk(world_size))
2025-07-24T04:20:35.7394440Z         >>> for i in range(world_size):
2025-07-24T04:20:35.7394590Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-07-24T04:20:35.7394650Z     
2025-07-24T04:20:35.7394730Z         >>> # Another example with uneven split
2025-07-24T04:20:35.7394770Z         >>> input
2025-07-24T04:20:35.7394890Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-07-24T04:20:35.7394990Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-07-24T04:20:35.7395090Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-07-24T04:20:35.7395190Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-07-24T04:20:35.7395240Z         >>> input_splits
2025-07-24T04:20:35.7395320Z         [2, 2, 1, 1]                                                     # Rank 0
2025-07-24T04:20:35.7395400Z         [3, 2, 2, 2]                                                     # Rank 1
2025-07-24T04:20:35.7395480Z         [2, 1, 1, 1]                                                     # Rank 2
2025-07-24T04:20:35.7395560Z         [2, 2, 2, 1]                                                     # Rank 3
2025-07-24T04:20:35.7395610Z         >>> output_splits
2025-07-24T04:20:35.7395690Z         [2, 3, 2, 2]                                                     # Rank 0
2025-07-24T04:20:35.7395760Z         [2, 2, 1, 2]                                                     # Rank 1
2025-07-24T04:20:35.7395840Z         [1, 2, 1, 2]                                                     # Rank 2
2025-07-24T04:20:35.7395920Z         [1, 2, 1, 1]                                                     # Rank 3
2025-07-24T04:20:35.7395970Z         >>> output = ...
2025-07-24T04:20:35.7396090Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-07-24T04:20:35.7396130Z         >>> output
2025-07-24T04:20:35.7396230Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-07-24T04:20:35.7396330Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-07-24T04:20:35.7396430Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-07-24T04:20:35.7396520Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-07-24T04:20:35.7396560Z     
2025-07-24T04:20:35.7396600Z     
2025-07-24T04:20:35.7396710Z         >>> # Another example with tensors of torch.cfloat type.
2025-07-24T04:20:35.7396760Z         >>> input = torch.tensor(
2025-07-24T04:20:35.7396850Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-07-24T04:20:35.7396900Z         ... ) + 4 * rank * (1 + 1j)
2025-07-24T04:20:35.7396950Z         >>> input
2025-07-24T04:20:35.7397060Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-07-24T04:20:35.7397160Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-07-24T04:20:35.7397270Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-07-24T04:20:35.7397390Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-07-24T04:20:35.7397470Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-07-24T04:20:35.7397550Z         >>> dist.all_to_all_single(output, input)
2025-07-24T04:20:35.7397590Z         >>> output
2025-07-24T04:20:35.7397730Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-07-24T04:20:35.7397830Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-07-24T04:20:35.7397940Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-07-24T04:20:35.7398040Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-07-24T04:20:35.7398090Z     
2025-07-24T04:20:35.7398230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7398300Z     
2025-07-24T04:20:35.7398350Z       warnings.warn(msg)
2025-07-24T04:20:35.7398390Z     
2025-07-24T04:20:35.7398510Z --- Parse Warning: 52 / 136 ---
2025-07-24T04:20:35.7399220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4642.
2025-07-24T04:20:35.7399380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7399420Z     
2025-07-24T04:20:35.7399640Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-07-24T04:20:35.7399680Z     
2025-07-24T04:20:35.7399740Z     Complex tensors are supported.
2025-07-24T04:20:35.7399780Z     
2025-07-24T04:20:35.7399830Z     Args:
2025-07-24T04:20:35.7399960Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-07-24T04:20:35.7400010Z             per rank.
2025-07-24T04:20:35.7400150Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-07-24T04:20:35.7400280Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7400360Z             the default process group will be used.
2025-07-24T04:20:35.7400480Z         async_op (bool, optional): Whether this op should be an async op.
2025-07-24T04:20:35.7400530Z     
2025-07-24T04:20:35.7400570Z     Returns:
2025-07-24T04:20:35.7400650Z         Async work handle, if async_op is set to True.
2025-07-24T04:20:35.7400740Z         None, if not async_op or if not part of the group.
2025-07-24T04:20:35.7400790Z     
2025-07-24T04:20:35.7400830Z     .. warning::
2025-07-24T04:20:35.7400920Z         `all_to_all` is experimental and subject to change.
2025-07-24T04:20:35.7400970Z     
2025-07-24T04:20:35.7401010Z     Examples:
2025-07-24T04:20:35.7401080Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-07-24T04:20:35.7401150Z         >>> input = torch.arange(4) + rank * 4
2025-07-24T04:20:35.7401210Z         >>> input = list(input.chunk(4))
2025-07-24T04:20:35.7401250Z         >>> input
2025-07-24T04:20:35.7401360Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-07-24T04:20:35.7401460Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-07-24T04:20:35.7401560Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-07-24T04:20:35.7401660Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-07-24T04:20:35.7401780Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-07-24T04:20:35.7401840Z         >>> dist.all_to_all(output, input)
2025-07-24T04:20:35.7401890Z         >>> output
2025-07-24T04:20:35.7401990Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-07-24T04:20:35.7402090Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-07-24T04:20:35.7402190Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-07-24T04:20:35.7402280Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-07-24T04:20:35.7402330Z     
2025-07-24T04:20:35.7402430Z         >>> # Essentially, it is similar to following operation:
2025-07-24T04:20:35.7402480Z         >>> scatter_list = input
2025-07-24T04:20:35.7402560Z         >>> gather_list = output
2025-07-24T04:20:35.7402620Z         >>> for i in range(world_size):
2025-07-24T04:20:35.7402760Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-07-24T04:20:35.7402800Z     
2025-07-24T04:20:35.7402840Z         >>> input
2025-07-24T04:20:35.7402940Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-07-24T04:20:35.7403030Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-07-24T04:20:35.7403150Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-07-24T04:20:35.7403260Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-07-24T04:20:35.7403320Z         >>> input_splits
2025-07-24T04:20:35.7403410Z         [2, 2, 1, 1]                                                     # Rank 0
2025-07-24T04:20:35.7403490Z         [3, 2, 2, 2]                                                     # Rank 1
2025-07-24T04:20:35.7403580Z         [2, 1, 1, 1]                                                     # Rank 2
2025-07-24T04:20:35.7403650Z         [2, 2, 2, 1]                                                     # Rank 3
2025-07-24T04:20:35.7403700Z         >>> output_splits
2025-07-24T04:20:35.7403780Z         [2, 3, 2, 2]                                                     # Rank 0
2025-07-24T04:20:35.7403860Z         [2, 2, 1, 2]                                                     # Rank 1
2025-07-24T04:20:35.7403930Z         [1, 2, 1, 2]                                                     # Rank 2
2025-07-24T04:20:35.7404010Z         [1, 2, 1, 1]                                                     # Rank 3
2025-07-24T04:20:35.7404090Z         >>> input = list(input.split(input_splits))
2025-07-24T04:20:35.7404140Z         >>> input
2025-07-24T04:20:35.7404270Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-07-24T04:20:35.7404400Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-07-24T04:20:35.7404520Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-07-24T04:20:35.7404650Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-07-24T04:20:35.7404700Z         >>> output = ...
2025-07-24T04:20:35.7404760Z         >>> dist.all_to_all(output, input)
2025-07-24T04:20:35.7404810Z         >>> output
2025-07-24T04:20:35.7404930Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-07-24T04:20:35.7405050Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-07-24T04:20:35.7405170Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-07-24T04:20:35.7405300Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-07-24T04:20:35.7405340Z     
2025-07-24T04:20:35.7405440Z         >>> # Another example with tensors of torch.cfloat type.
2025-07-24T04:20:35.7405500Z         >>> input = torch.tensor(
2025-07-24T04:20:35.7405590Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-07-24T04:20:35.7405640Z         ... ) + 4 * rank * (1 + 1j)
2025-07-24T04:20:35.7405700Z         >>> input = list(input.chunk(4))
2025-07-24T04:20:35.7405750Z         >>> input
2025-07-24T04:20:35.7405880Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-07-24T04:20:35.7406010Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-07-24T04:20:35.7406140Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-07-24T04:20:35.7406280Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-07-24T04:20:35.7406390Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-07-24T04:20:35.7406490Z         >>> dist.all_to_all(output, input)
2025-07-24T04:20:35.7406530Z         >>> output
2025-07-24T04:20:35.7406660Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-07-24T04:20:35.7406790Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-07-24T04:20:35.7406910Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-07-24T04:20:35.7407070Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-07-24T04:20:35.7407110Z     
2025-07-24T04:20:35.7407150Z     
2025-07-24T04:20:35.7407320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7407360Z     
2025-07-24T04:20:35.7407410Z       warnings.warn(msg)
2025-07-24T04:20:35.7407450Z     
2025-07-24T04:20:35.7407580Z --- Parse Warning: 53 / 136 ---
2025-07-24T04:20:35.7408220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-07-24T04:20:35.7408380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7408420Z     
2025-07-24T04:20:35.7408490Z     Module ``torch.distributed.launch``.
2025-07-24T04:20:35.7408530Z     
2025-07-24T04:20:35.7408680Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-07-24T04:20:35.7408770Z     training processes on each of the training nodes.
2025-07-24T04:20:35.7408820Z     
2025-07-24T04:20:35.7408860Z     .. warning::
2025-07-24T04:20:35.7408900Z     
2025-07-24T04:20:35.7409060Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-07-24T04:20:35.7409100Z     
2025-07-24T04:20:35.7409240Z     The utility can be used for single-node distributed training, in which one or
2025-07-24T04:20:35.7409390Z     more processes per node will be spawned. The utility can be used for either
2025-07-24T04:20:35.7409520Z     CPU training or GPU training. If the utility is used for GPU training,
2025-07-24T04:20:35.7409670Z     each distributed process will be operating on a single GPU. This can achieve
2025-07-24T04:20:35.7409810Z     well-improved single-node training performance. It can also be used in
2025-07-24T04:20:35.7409970Z     multi-node distributed training, by spawning up multiple processes on each node
2025-07-24T04:20:35.7410110Z     for well-improved multi-node distributed training performance as well.
2025-07-24T04:20:35.7410250Z     This will especially be beneficial for systems with multiple Infiniband
2025-07-24T04:20:35.7410410Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-07-24T04:20:35.7410470Z     aggregated communication bandwidth.
2025-07-24T04:20:35.7410520Z     
2025-07-24T04:20:35.7410660Z     In both cases of single-node distributed training or multi-node distributed
2025-07-24T04:20:35.7410800Z     training, this utility will launch the given number of processes per node
2025-07-24T04:20:35.7410940Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-07-24T04:20:35.7411070Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-07-24T04:20:35.7411190Z     and each process will be operating on a single GPU from *GPU 0 to
2025-07-24T04:20:35.7411250Z     GPU (nproc_per_node - 1)*.
2025-07-24T04:20:35.7411300Z     
2025-07-24T04:20:35.7411350Z     **How to use this module:**
2025-07-24T04:20:35.7411390Z     
2025-07-24T04:20:35.7411480Z     1. Single-Node multi-process distributed training
2025-07-24T04:20:35.7411530Z     
2025-07-24T04:20:35.7411570Z     ::
2025-07-24T04:20:35.7411610Z     
2025-07-24T04:20:35.7411760Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:35.7411900Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-07-24T04:20:35.7411980Z                    arguments of your training script)
2025-07-24T04:20:35.7412020Z     
2025-07-24T04:20:35.7412150Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-07-24T04:20:35.7412190Z     
2025-07-24T04:20:35.7412230Z     
2025-07-24T04:20:35.7412320Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-07-24T04:20:35.7412380Z     
2025-07-24T04:20:35.7412420Z     ::
2025-07-24T04:20:35.7412460Z     
2025-07-24T04:20:35.7412610Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:35.7412740Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-07-24T04:20:35.7412870Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-07-24T04:20:35.7412980Z                    and all other arguments of your training script)
2025-07-24T04:20:35.7413030Z     
2025-07-24T04:20:35.7413070Z     Node 2:
2025-07-24T04:20:35.7413110Z     
2025-07-24T04:20:35.7413150Z     ::
2025-07-24T04:20:35.7413190Z     
2025-07-24T04:20:35.7413330Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-07-24T04:20:35.7413430Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-07-24T04:20:35.7413560Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-07-24T04:20:35.7413660Z                    and all other arguments of your training script)
2025-07-24T04:20:35.7413700Z     
2025-07-24T04:20:35.7413800Z     3. To look up what optional arguments this module offers:
2025-07-24T04:20:35.7413840Z     
2025-07-24T04:20:35.7413880Z     ::
2025-07-24T04:20:35.7413920Z     
2025-07-24T04:20:35.7414000Z         python -m torch.distributed.launch --help
2025-07-24T04:20:35.7414040Z     
2025-07-24T04:20:35.7414080Z     
2025-07-24T04:20:35.7414140Z     **Important Notices:**
2025-07-24T04:20:35.7414180Z     
2025-07-24T04:20:35.7414290Z     1. This utility and multi-process distributed (single-node or
2025-07-24T04:20:35.7414440Z     multi-node) GPU training currently only achieves the best performance using
2025-07-24T04:20:35.7414590Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-07-24T04:20:35.7414640Z     use for GPU training.
2025-07-24T04:20:35.7414690Z     
2025-07-24T04:20:35.7414820Z     2. In your training program, you must parse the command-line argument:
2025-07-24T04:20:35.7414960Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-07-24T04:20:35.7415100Z     If your training program uses GPUs, you should ensure that your code only
2025-07-24T04:20:35.7415220Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-07-24T04:20:35.7415260Z     
2025-07-24T04:20:35.7415320Z     Parsing the local_rank argument
2025-07-24T04:20:35.7415360Z     
2025-07-24T04:20:35.7415400Z     ::
2025-07-24T04:20:35.7415440Z     
2025-07-24T04:20:35.7415500Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7415550Z         >>> import argparse
2025-07-24T04:20:35.7415620Z         >>> parser = argparse.ArgumentParser()
2025-07-24T04:20:35.7415740Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-07-24T04:20:35.7415800Z         >>> args = parser.parse_args()
2025-07-24T04:20:35.7415850Z     
2025-07-24T04:20:35.7415920Z     Set your device to local rank using either
2025-07-24T04:20:35.7415960Z     
2025-07-24T04:20:35.7416000Z     ::
2025-07-24T04:20:35.7416040Z     
2025-07-24T04:20:35.7416170Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-07-24T04:20:35.7416210Z     
2025-07-24T04:20:35.7416250Z     or
2025-07-24T04:20:35.7416290Z     
2025-07-24T04:20:35.7416330Z     ::
2025-07-24T04:20:35.7416370Z     
2025-07-24T04:20:35.7416450Z         >>> with torch.cuda.device(args.local_rank):
2025-07-24T04:20:35.7416530Z         >>>    # your code to run
2025-07-24T04:20:35.7416570Z         >>>    ...
2025-07-24T04:20:35.7416610Z     
2025-07-24T04:20:35.7416670Z     .. versionchanged:: 2.0.0
2025-07-24T04:20:35.7416710Z     
2025-07-24T04:20:35.7416860Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-07-24T04:20:35.7417000Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-07-24T04:20:35.7417090Z         previously used underscored ``--local_rank``.
2025-07-24T04:20:35.7417150Z     
2025-07-24T04:20:35.7417300Z         For backward compatibility, it may be necessary for users to handle both
2025-07-24T04:20:35.7417480Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-07-24T04:20:35.7417620Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-07-24T04:20:35.7417800Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-07-24T04:20:35.7417950Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-07-24T04:20:35.7418040Z         including ``"--local-rank"`` should be sufficient.
2025-07-24T04:20:35.7418080Z     
2025-07-24T04:20:35.7418220Z     3. In your training program, you are supposed to call the following function
2025-07-24T04:20:35.7418370Z     at the beginning to start the distributed backend. It is strongly recommended
2025-07-24T04:20:35.7418500Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-07-24T04:20:35.7418620Z     but ``env://`` is the one that is officially supported by this module.
2025-07-24T04:20:35.7418660Z     
2025-07-24T04:20:35.7418700Z     ::
2025-07-24T04:20:35.7418750Z     
2025-07-24T04:20:35.7418870Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-07-24T04:20:35.7418960Z         >>>                                      init_method='env://')
2025-07-24T04:20:35.7419000Z     
2025-07-24T04:20:35.7419140Z     4. In your training program, you can either use regular distributed functions
2025-07-24T04:20:35.7419290Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-07-24T04:20:35.7419420Z     training program uses GPUs for training and you would like to use
2025-07-24T04:20:35.7419540Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-07-24T04:20:35.7419600Z     here is how to configure it.
2025-07-24T04:20:35.7419640Z     
2025-07-24T04:20:35.7419680Z     ::
2025-07-24T04:20:35.7419720Z     
2025-07-24T04:20:35.7419840Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-07-24T04:20:35.7419930Z         >>>                                                   device_ids=[args.local_rank],
2025-07-24T04:20:35.7420030Z         >>>                                                   output_device=args.local_rank)
2025-07-24T04:20:35.7420070Z     
2025-07-24T04:20:35.7420220Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-07-24T04:20:35.7420360Z     that your code will be operating on. This is generally the local rank of the
2025-07-24T04:20:35.7420500Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-07-24T04:20:35.7420630Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-07-24T04:20:35.7420680Z     utility
2025-07-24T04:20:35.7420720Z     
2025-07-24T04:20:35.7420870Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-07-24T04:20:35.7421000Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-07-24T04:20:35.7421130Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-07-24T04:20:35.7421260Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-07-24T04:20:35.7421360Z     will not pass ``--local-rank`` when you specify this flag.
2025-07-24T04:20:35.7421400Z     
2025-07-24T04:20:35.7421450Z     .. warning::
2025-07-24T04:20:35.7421510Z     
2025-07-24T04:20:35.7421630Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-07-24T04:20:35.7421750Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-07-24T04:20:35.7421820Z         write to a networked filesystem.  See
2025-07-24T04:20:35.7421960Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-07-24T04:20:35.7422060Z         how things can go wrong if you don't do this correctly.
2025-07-24T04:20:35.7422120Z     
2025-07-24T04:20:35.7422160Z     
2025-07-24T04:20:35.7422200Z     
2025-07-24T04:20:35.7422240Z     
2025-07-24T04:20:35.7422410Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7422450Z     
2025-07-24T04:20:35.7422510Z       warnings.warn(msg)
2025-07-24T04:20:35.7422550Z     
2025-07-24T04:20:35.7422670Z --- Parse Warning: 54 / 136 ---
2025-07-24T04:20:35.7423370Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=689.
2025-07-24T04:20:35.7423520Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7423560Z     
2025-07-24T04:20:35.7423720Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-07-24T04:20:35.7423880Z     The submesh created consists of the dimensions and the communicators indicated by
2025-07-24T04:20:35.7423930Z     ``mesh_dim_names``
2025-07-24T04:20:35.7423970Z     
2025-07-24T04:20:35.7424020Z     Args:
2025-07-24T04:20:35.7424160Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-07-24T04:20:35.7424270Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-07-24T04:20:35.7424320Z     Returns:
2025-07-24T04:20:35.7424380Z         A :class:`DeviceMesh` object
2025-07-24T04:20:35.7424420Z     
2025-07-24T04:20:35.7424590Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-07-24T04:20:35.7424640Z     In the first example:
2025-07-24T04:20:35.7424800Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-07-24T04:20:35.7424950Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-07-24T04:20:35.7425090Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-07-24T04:20:35.7425230Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-07-24T04:20:35.7425360Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-07-24T04:20:35.7428110Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-07-24T04:20:35.7428160Z     
2025-07-24T04:20:35.7428220Z     In the second example:
2025-07-24T04:20:35.7428390Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-07-24T04:20:35.7428550Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-07-24T04:20:35.7428700Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-07-24T04:20:35.7428860Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-07-24T04:20:35.7428900Z     
2025-07-24T04:20:35.7428950Z     Example::
2025-07-24T04:20:35.7428990Z     
2025-07-24T04:20:35.7429050Z         >>> # xdoctest: +SKIP("no rank")
2025-07-24T04:20:35.7429160Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-07-24T04:20:35.7429200Z         >>>
2025-07-24T04:20:35.7429330Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-07-24T04:20:35.7429490Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-07-24T04:20:35.7429640Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-07-24T04:20:35.7429700Z         >>> tp_mesh = mesh_2d["tp"]
2025-07-24T04:20:35.7429760Z         >>> dp_mesh = mesh_2d["dp"]
2025-07-24T04:20:35.7429800Z         >>>
2025-07-24T04:20:35.7429860Z         >>> # Initialize a 3D mesh.
2025-07-24T04:20:35.7430130Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-07-24T04:20:35.7430310Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-07-24T04:20:35.7430400Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-07-24T04:20:35.7430460Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-07-24T04:20:35.7430510Z     
2025-07-24T04:20:35.7430920Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-07-24T04:20:35.7430960Z     
2025-07-24T04:20:35.7431110Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-07-24T04:20:35.7431190Z                                                                                      ^
2025-07-24T04:20:35.7431240Z       warnings.warn(msg)
2025-07-24T04:20:35.7431280Z     
2025-07-24T04:20:35.7431400Z --- Parse Warning: 55 / 136 ---
2025-07-24T04:20:35.7432160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-07-24T04:20:35.7432320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7432360Z     
2025-07-24T04:20:35.7432540Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-07-24T04:20:35.7432690Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-07-24T04:20:35.7432730Z     
2025-07-24T04:20:35.7432830Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-07-24T04:20:35.7432870Z     
2025-07-24T04:20:35.7432910Z     .. warning::
2025-07-24T04:20:35.7433020Z         Current implementation only supports loading Tensors.
2025-07-24T04:20:35.7433060Z     
2025-07-24T04:20:35.7433130Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7433180Z     >>> sd = {"mode": model}
2025-07-24T04:20:35.7433230Z     >>> dcp.load(
2025-07-24T04:20:35.7433270Z     >>>    sd,
2025-07-24T04:20:35.7433360Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-07-24T04:20:35.7433440Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-07-24T04:20:35.7433500Z     >>>    checkpoint_id="path_to_model.pt"
2025-07-24T04:20:35.7433540Z     >>> )
2025-07-24T04:20:35.7433580Z     
2025-07-24T04:20:35.7433740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7433780Z     
2025-07-24T04:20:35.7433830Z       warnings.warn(msg)
2025-07-24T04:20:35.7433870Z     
2025-07-24T04:20:35.7433970Z --- Parse Warning: 56 / 136 ---
2025-07-24T04:20:35.7434700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-07-24T04:20:35.7434860Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7434900Z     
2025-07-24T04:20:35.7435120Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-07-24T04:20:35.7435340Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-07-24T04:20:35.7435410Z     metadata file, like Torch Save files.
2025-07-24T04:20:35.7435440Z     
2025-07-24T04:20:35.7435550Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-07-24T04:20:35.7435600Z     
2025-07-24T04:20:35.7435640Z     .. warning::
2025-07-24T04:20:35.7435740Z         Current implementation only supports loading Tensors.
2025-07-24T04:20:35.7435800Z     
2025-07-24T04:20:35.7435870Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7435930Z     >>> sd = {"mode": model}
2025-07-24T04:20:35.7435970Z     >>> dcp.load(
2025-07-24T04:20:35.7436040Z     >>>    sd,
2025-07-24T04:20:35.7436140Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-07-24T04:20:35.7436220Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-07-24T04:20:35.7436290Z     >>>    checkpoint_id="path_to_model.pt"
2025-07-24T04:20:35.7436340Z     >>> )
2025-07-24T04:20:35.7436370Z     
2025-07-24T04:20:35.7436530Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7436560Z     
2025-07-24T04:20:35.7436620Z       warnings.warn(msg)
2025-07-24T04:20:35.7436660Z     
2025-07-24T04:20:35.7436760Z --- Parse Warning: 57 / 136 ---
2025-07-24T04:20:35.7437440Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-07-24T04:20:35.7437600Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7437640Z     
2025-07-24T04:20:35.7437820Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-07-24T04:20:35.7437860Z     
2025-07-24T04:20:35.7438030Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-07-24T04:20:35.7438080Z     
2025-07-24T04:20:35.7438250Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-07-24T04:20:35.7438310Z     will be visible to the whole process.
2025-07-24T04:20:35.7438350Z     
2025-07-24T04:20:35.7438510Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-07-24T04:20:35.7438560Z     
2025-07-24T04:20:35.7438630Z     1) set_up_planner - called on all ranks.
2025-07-24T04:20:35.7438700Z         Signals the start of a checkpoint save.
2025-07-24T04:20:35.7438740Z     
2025-07-24T04:20:35.7438810Z     2) create_local_plan - called on all ranks.
2025-07-24T04:20:35.7438990Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-07-24T04:20:35.7439030Z     
2025-07-24T04:20:35.7439140Z     3) create_global_plan - called on the coordinator rank only.
2025-07-24T04:20:35.7439270Z         Takes the SavePlan from all ranks and make any global decision.
2025-07-24T04:20:35.7439310Z     
2025-07-24T04:20:35.7439370Z     4) finish_plan - called on all ranks.
2025-07-24T04:20:35.7439500Z         This gives each rank a chance to adjust to global planning decisions.
2025-07-24T04:20:35.7439540Z     
2025-07-24T04:20:35.7439640Z     5) resolve_data - called multiple times on each rank
2025-07-24T04:20:35.7439760Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-07-24T04:20:35.7439800Z     
2025-07-24T04:20:35.7439990Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-07-24T04:20:35.7440100Z     most changes can be expressed by changes in a single method.
2025-07-24T04:20:35.7440140Z     
2025-07-24T04:20:35.7440210Z     There are 3 usual patterns of extension:
2025-07-24T04:20:35.7440260Z     
2025-07-24T04:20:35.7440410Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-07-24T04:20:35.7440590Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-07-24T04:20:35.7440630Z     
2025-07-24T04:20:35.7440690Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7440770Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-07-24T04:20:35.7440830Z     >>>     def set_up_planner(
2025-07-24T04:20:35.7440870Z     >>>         self,
2025-07-24T04:20:35.7440930Z     >>>         state_dict: STATE_DICT_TYPE,
2025-07-24T04:20:35.7441030Z     >>>         storage_meta: Optional[StorageMeta],
2025-07-24T04:20:35.7441090Z     >>>         is_coordinator: bool,
2025-07-24T04:20:35.7441140Z     >>>     ) -> None:
2025-07-24T04:20:35.7441220Z     >>> # prefix all keys with `foo_``
2025-07-24T04:20:35.7441410Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-07-24T04:20:35.7441480Z     
2025-07-24T04:20:35.7441680Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-07-24T04:20:35.7441720Z     
2025-07-24T04:20:35.7441790Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7441860Z     >>> class FP16Planner(DefaultSavePlanner):
2025-07-24T04:20:35.7441930Z     >>>     def create_local_plan(self):
2025-07-24T04:20:35.7442000Z     >>>         plan = super().create_local_plan()
2025-07-24T04:20:35.7442050Z     >>>         for p in plan:
2025-07-24T04:20:35.7442120Z     >>>             if p.tensor_data is not None:
2025-07-24T04:20:35.7442230Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-07-24T04:20:35.7442280Z     >>>         return plan
2025-07-24T04:20:35.7442320Z     >>>
2025-07-24T04:20:35.7442390Z     >>>     def resolve_data(self, write_item):
2025-07-24T04:20:35.7442470Z     >>>         item = super().resolve_data(write_item)
2025-07-24T04:20:35.7442640Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-07-24T04:20:35.7442680Z     
2025-07-24T04:20:35.7442890Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-07-24T04:20:35.7442930Z     
2025-07-24T04:20:35.7442990Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7443060Z     >>> from itertools import zip_longest
2025-07-24T04:20:35.7443120Z     >>> from dataclasses import replace
2025-07-24T04:20:35.7443220Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-07-24T04:20:35.7443390Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-07-24T04:20:35.7443470Z     >>> # This sample doesn't handle ShardedTensors
2025-07-24T04:20:35.7443540Z     >>>     def create_global_plan(self, all_plans):
2025-07-24T04:20:35.7443640Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-07-24T04:20:35.7443700Z     >>>         items_per_rank = [
2025-07-24T04:20:35.7443790Z     >>>             [item for item in items if item is not None]
2025-07-24T04:20:35.7443890Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-07-24T04:20:35.7443930Z     >>>         ]
2025-07-24T04:20:35.7443980Z     >>>         all_plans = [
2025-07-24T04:20:35.7444050Z     >>>             replace(plan, items=items)
2025-07-24T04:20:35.7444170Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-07-24T04:20:35.7444220Z     >>>         ]
2025-07-24T04:20:35.7444300Z     >>>         return super().create_global_plan(all_plans)
2025-07-24T04:20:35.7444340Z     
2025-07-24T04:20:35.7444500Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-07-24T04:20:35.7444670Z     accomplished by having each rank contribute their data items in the local plan and
2025-07-24T04:20:35.7444730Z     the global planner aggregate them:
2025-07-24T04:20:35.7444770Z     
2025-07-24T04:20:35.7444840Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7444930Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-07-24T04:20:35.7445030Z     >>>     def create_local_plan(self) -> SavePlan:
2025-07-24T04:20:35.7445100Z     >>>         plan = super().create_local_plan()
2025-07-24T04:20:35.7445200Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-07-24T04:20:35.7445240Z     >>>
2025-07-24T04:20:35.7445420Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-07-24T04:20:35.7445560Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-07-24T04:20:35.7445660Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-07-24T04:20:35.7445790Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-07-24T04:20:35.7445860Z     >>>         return global_plan, metadata
2025-07-24T04:20:35.7445900Z     
2025-07-24T04:20:35.7446080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7446120Z     
2025-07-24T04:20:35.7446170Z       warnings.warn(msg)
2025-07-24T04:20:35.7446210Z     
2025-07-24T04:20:35.7446310Z --- Parse Warning: 58 / 136 ---
2025-07-24T04:20:35.7447010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-07-24T04:20:35.7447160Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7447210Z     
2025-07-24T04:20:35.7447380Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-07-24T04:20:35.7447420Z     
2025-07-24T04:20:35.7447590Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-07-24T04:20:35.7447630Z     
2025-07-24T04:20:35.7447800Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-07-24T04:20:35.7447870Z     will be visible to the whole process.
2025-07-24T04:20:35.7447900Z     
2025-07-24T04:20:35.7448070Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-07-24T04:20:35.7448110Z     
2025-07-24T04:20:35.7448180Z     1) set_up_planner - called on all ranks.
2025-07-24T04:20:35.7448260Z         Signals the start of loading a checkpoint.
2025-07-24T04:20:35.7448300Z     
2025-07-24T04:20:35.7448370Z     2) create_local_plan - called on all ranks.
2025-07-24T04:20:35.7448540Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-07-24T04:20:35.7448590Z     
2025-07-24T04:20:35.7448700Z     3) create_global_plan - called on the coordinator rank only.
2025-07-24T04:20:35.7448820Z         Takes the LoadPlan from all ranks and make any global decision.
2025-07-24T04:20:35.7448860Z     
2025-07-24T04:20:35.7448950Z     4) load_bytes - called multiple times on each rank
2025-07-24T04:20:35.7449050Z         This is called once per non-tensor value in state_dict.
2025-07-24T04:20:35.7449100Z     
2025-07-24T04:20:35.7449230Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-07-24T04:20:35.7449340Z         They are called in pair for each Tensor value in state_dict.
2025-07-24T04:20:35.7449380Z     
2025-07-24T04:20:35.7449560Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-07-24T04:20:35.7449670Z     most changes can be expressed by changes in a single method.
2025-07-24T04:20:35.7449710Z     
2025-07-24T04:20:35.7449790Z     There are two usual patterns of extension:
2025-07-24T04:20:35.7449830Z     
2025-07-24T04:20:35.7449980Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-07-24T04:20:35.7450140Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-07-24T04:20:35.7450280Z     to keep a reference to the original state_dict as load happens in place so
2025-07-24T04:20:35.7450380Z     we need to be able to perform it in place
2025-07-24T04:20:35.7450430Z     
2025-07-24T04:20:35.7450490Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7450570Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-07-24T04:20:35.7450620Z     >>>     def set_up_planner(
2025-07-24T04:20:35.7450670Z     >>>         self,
2025-07-24T04:20:35.7450730Z     >>>         state_dict: STATE_DICT_TYPE,
2025-07-24T04:20:35.7450810Z     >>>         metadata: Metadata,
2025-07-24T04:20:35.7450880Z     >>>         is_coordinator: bool,
2025-07-24T04:20:35.7450920Z     >>>     ) -> None:
2025-07-24T04:20:35.7451020Z     >>>         self.original_state_dict = state_dict
2025-07-24T04:20:35.7451130Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-07-24T04:20:35.7451170Z     >>>
2025-07-24T04:20:35.7451260Z     >>>         if self.flatten_sharded_tensors:
2025-07-24T04:20:35.7451360Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-07-24T04:20:35.7451400Z     >>>
2025-07-24T04:20:35.7451470Z     >>>         if self.flatten_state_dict:
2025-07-24T04:20:35.7451580Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-07-24T04:20:35.7451620Z     >>>
2025-07-24T04:20:35.7451690Z     >>>         self.state_dict = state_dict
2025-07-24T04:20:35.7451740Z     >>>         self.metadata = metadata
2025-07-24T04:20:35.7451820Z     >>>         self.is_coordinator = is_coordinator
2025-07-24T04:20:35.7451860Z     >>>
2025-07-24T04:20:35.7451930Z     >>>     def load_bytes(self, read_item, value):
2025-07-24T04:20:35.7451990Z     >>> # Remove the "foo_" prefix
2025-07-24T04:20:35.7452190Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-07-24T04:20:35.7452230Z     
2025-07-24T04:20:35.7452270Z     
2025-07-24T04:20:35.7452420Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-07-24T04:20:35.7452470Z     
2025-07-24T04:20:35.7452530Z     >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7452630Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-07-24T04:20:35.7452700Z     >>>     def resolve_tensor(self, read_item):
2025-07-24T04:20:35.7452780Z     >>>         tensor = super().resolve_tensor(read_item)
2025-07-24T04:20:35.7452870Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-07-24T04:20:35.7452910Z     >>>
2025-07-24T04:20:35.7452990Z     >>>     def commit_tensor(self, read_item, tensor):
2025-07-24T04:20:35.7453090Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-07-24T04:20:35.7453130Z     
2025-07-24T04:20:35.7453280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7453320Z     
2025-07-24T04:20:35.7453370Z       warnings.warn(msg)
2025-07-24T04:20:35.7453420Z     
2025-07-24T04:20:35.7453520Z --- Parse Warning: 59 / 136 ---
2025-07-24T04:20:35.7454220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-07-24T04:20:35.7454370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7454420Z     
2025-07-24T04:20:35.7454510Z     Return the model state_dict and optimizers state_dict.
2025-07-24T04:20:35.7454560Z     
2025-07-24T04:20:35.7454690Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-07-24T04:20:35.7454850Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-07-24T04:20:35.7455000Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-07-24T04:20:35.7455130Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-07-24T04:20:35.7455280Z     with a different number of trainers and/or different parallelisms.
2025-07-24T04:20:35.7455430Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-07-24T04:20:35.7455480Z     these APIs.
2025-07-24T04:20:35.7455550Z     3.) sanity checking the result state_dict.
2025-07-24T04:20:35.7455590Z     
2025-07-24T04:20:35.7455720Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-07-24T04:20:35.7455880Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-07-24T04:20:35.7456030Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-07-24T04:20:35.7456180Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-07-24T04:20:35.7456310Z     ``module.named_buffers()`` when the module is not distributed by any
2025-07-24T04:20:35.7456480Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-07-24T04:20:35.7456610Z     a parameter, there will be a conversion from the parameter IDs to the
2025-07-24T04:20:35.7456680Z     canonical FQNs when calling this API.
2025-07-24T04:20:35.7456720Z     
2025-07-24T04:20:35.7456860Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-07-24T04:20:35.7456990Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-07-24T04:20:35.7457080Z     optimizer parameter IDs to the canonical FQNs.
2025-07-24T04:20:35.7457120Z     
2025-07-24T04:20:35.7457160Z     Example:
2025-07-24T04:20:35.7457220Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7457270Z         >>> import torch
2025-07-24T04:20:35.7457410Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:35.7457540Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-07-24T04:20:35.7457680Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-07-24T04:20:35.7457720Z     
2025-07-24T04:20:35.7457800Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-07-24T04:20:35.7457910Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-07-24T04:20:35.7457990Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-07-24T04:20:35.7458100Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-07-24T04:20:35.7458140Z     
2025-07-24T04:20:35.7458180Z     
2025-07-24T04:20:35.7458320Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-07-24T04:20:35.7458430Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-07-24T04:20:35.7458490Z         ...     fsdp_model, fsdp_optim
2025-07-24T04:20:35.7458530Z         ... )
2025-07-24T04:20:35.7458570Z     
2025-07-24T04:20:35.7458710Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-07-24T04:20:35.7458770Z         >>> # the asserts will fail.
2025-07-24T04:20:35.7458850Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-07-24T04:20:35.7458940Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-07-24T04:20:35.7458980Z     
2025-07-24T04:20:35.7459020Z     
2025-07-24T04:20:35.7459060Z     Args:
2025-07-24T04:20:35.7459150Z         model (nn.Module): the nn.Module to the model.
2025-07-24T04:20:35.7459260Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-07-24T04:20:35.7459360Z             The optimizers that are used to optimize ``model``.
2025-07-24T04:20:35.7459530Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-07-24T04:20:35.7459590Z             that belong to the submodules.
2025-07-24T04:20:35.7459700Z         options (StateDictOptions): the options to control how
2025-07-24T04:20:35.7459830Z             model state_dict and optimizer state_dict should be returned. See
2025-07-24T04:20:35.7459900Z             `StateDictOptions` for the details.
2025-07-24T04:20:35.7459960Z     
2025-07-24T04:20:35.7460010Z     Returns:
2025-07-24T04:20:35.7460130Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-07-24T04:20:35.7460170Z     
2025-07-24T04:20:35.7460300Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-07-24T04:20:35.7460340Z     
2025-07-24T04:20:35.7460500Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7460540Z     
2025-07-24T04:20:35.7460610Z       warnings.warn(msg)
2025-07-24T04:20:35.7460650Z     
2025-07-24T04:20:35.7460750Z --- Parse Warning: 60 / 136 ---
2025-07-24T04:20:35.7461490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=96.
2025-07-24T04:20:35.7461650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7461690Z     
2025-07-24T04:20:35.7461760Z     Save a distributed model in SPMD style.
2025-07-24T04:20:35.7461800Z     
2025-07-24T04:20:35.7461920Z     This function is different from ``torch.save()`` as it handles
2025-07-24T04:20:35.7462080Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-07-24T04:20:35.7462120Z     
2025-07-24T04:20:35.7462280Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-07-24T04:20:35.7462370Z     save will call ``state_dict`` before serialization.
2025-07-24T04:20:35.7462410Z     
2025-07-24T04:20:35.7462460Z     .. warning::
2025-07-24T04:20:35.7462600Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-07-24T04:20:35.7462650Z         for saved state_dicts.
2025-07-24T04:20:35.7462690Z     
2025-07-24T04:20:35.7462740Z     .. warning::
2025-07-24T04:20:35.7462870Z         If using the `process_group` argument, make sure that only its ranks
2025-07-24T04:20:35.7462990Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-07-24T04:20:35.7463030Z     
2025-07-24T04:20:35.7463080Z     .. note::
2025-07-24T04:20:35.7463230Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-07-24T04:20:35.7463390Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-07-24T04:20:35.7463460Z         group needs to be passed in.
2025-07-24T04:20:35.7463500Z     
2025-07-24T04:20:35.7463540Z     .. note::
2025-07-24T04:20:35.7463700Z         If no process group is available, this function assumes the intention is to save the
2025-07-24T04:20:35.7463770Z          state_dict in the local process.
2025-07-24T04:20:35.7463810Z     
2025-07-24T04:20:35.7463850Z     .. note:
2025-07-24T04:20:35.7463940Z         Rank 0 is assumed to be the coordinator rank.
2025-07-24T04:20:35.7463980Z     
2025-07-24T04:20:35.7464020Z     
2025-07-24T04:20:35.7464060Z     Args:
2025-07-24T04:20:35.7464150Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-07-24T04:20:35.7464240Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:35.7464370Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:35.7464490Z             depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:35.7464600Z             It can also be a key if the storage is a key-value store.
2025-07-24T04:20:35.7464650Z             (Default: ``None``)
2025-07-24T04:20:35.7464730Z         storage_writer (Optional[StorageWriter]):
2025-07-24T04:20:35.7464860Z             Instance of StorageWriter used to perform writes. If this is not
2025-07-24T04:20:35.7464980Z             specified, DCP will automatically infer the writer based on the
2025-07-24T04:20:35.7465100Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:35.7465190Z             be raised. (Default: ``None``)
2025-07-24T04:20:35.7465250Z         planner (Optional[SavePlanner]):
2025-07-24T04:20:35.7465370Z             Instance of SavePlanner. If this is not specified, the default
2025-07-24T04:20:35.7465450Z             planner will be used. (Default: ``None``)
2025-07-24T04:20:35.7465530Z         process_group (Optional[ProcessGroup]):
2025-07-24T04:20:35.7465640Z             ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:35.7465710Z             (Default: ``None``)
2025-07-24T04:20:35.7465760Z         no_dist (bool):
2025-07-24T04:20:35.7465860Z             If ``True``, this function will assume the intent is to load
2025-07-24T04:20:35.7465990Z             a checkpoint without using cross-rank synchronization.
2025-07-24T04:20:35.7466050Z             (Default: ``False``)
2025-07-24T04:20:35.7466090Z     
2025-07-24T04:20:35.7466130Z     Returns:
2025-07-24T04:20:35.7466250Z         Metadata: Metadata object for the saved checkpoint.
2025-07-24T04:20:35.7466290Z     
2025-07-24T04:20:35.7466330Z     Example:
2025-07-24T04:20:35.7466390Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7466440Z         >>> my_model = MyModule()
2025-07-24T04:20:35.7466480Z     
2025-07-24T04:20:35.7466550Z         >>> state_dict = {"model": my_model}
2025-07-24T04:20:35.7466590Z     
2025-07-24T04:20:35.7466730Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-07-24T04:20:35.7466780Z         ...     "/checkpoint/1"
2025-07-24T04:20:35.7466830Z         ... )
2025-07-24T04:20:35.7466910Z         >>> torch.distributed.checkpoint.save(
2025-07-24T04:20:35.7466970Z         >>>     state_dict=state_dict,
2025-07-24T04:20:35.7467040Z         >>>     storage_writer=fs_storage_writer,
2025-07-24T04:20:35.7467080Z         >>> )
2025-07-24T04:20:35.7467120Z     
2025-07-24T04:20:35.7467160Z     .. note::
2025-07-24T04:20:35.7467290Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-07-24T04:20:35.7467430Z         For NCCL-based process groups, internal tensor representations of
2025-07-24T04:20:35.7467560Z         objects must be moved to the GPU device before communication takes place.
2025-07-24T04:20:35.7467700Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-07-24T04:20:35.7467820Z         and it is the user's responsibility to ensure that this is set so that
2025-07-24T04:20:35.7467940Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-07-24T04:20:35.7467980Z     
2025-07-24T04:20:35.7468130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7468170Z     
2025-07-24T04:20:35.7468230Z       warnings.warn(msg)
2025-07-24T04:20:35.7468270Z     
2025-07-24T04:20:35.7468370Z --- Parse Warning: 61 / 136 ---
2025-07-24T04:20:35.7469090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=221.
2025-07-24T04:20:35.7469250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7469410Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-07-24T04:20:35.7469580Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-07-24T04:20:35.7469620Z     
2025-07-24T04:20:35.7469670Z         .. warning::
2025-07-24T04:20:35.7469770Z             This feature is experimental and subject to change.
2025-07-24T04:20:35.7469860Z             MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-07-24T04:20:35.7469900Z     
2025-07-24T04:20:35.7469940Z         Args:
2025-07-24T04:20:35.7470040Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-07-24T04:20:35.7470130Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:35.7470300Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:35.7470430Z                 depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:35.7470530Z                 It can also be a key if the storage is a key-value store.
2025-07-24T04:20:35.7470590Z                 (Default: ``None``)
2025-07-24T04:20:35.7470670Z             storage_writer (Optional[StorageWriter]):
2025-07-24T04:20:35.7470830Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-07-24T04:20:35.7470970Z                 this is not specified, DCP will automatically infer the writer based on the
2025-07-24T04:20:35.7471120Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:35.7471180Z                 be raised. (Default: ``None``)
2025-07-24T04:20:35.7471270Z             planner (Optional[SavePlanner]):
2025-07-24T04:20:35.7471400Z                 Instance of SavePlanner. If this is not specified, the default
2025-07-24T04:20:35.7471480Z                 planner will be used. (Default: ``None``)
2025-07-24T04:20:35.7471560Z             process_group (Optional[ProcessGroup]):
2025-07-24T04:20:35.7471670Z                 ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:35.7471730Z                 (Default: ``None``)
2025-07-24T04:20:35.7471830Z             async_checkpointer_type (AsyncCheckpointerType):
2025-07-24T04:20:35.7471940Z                 whether to do checkpoint in separate thread or process
2025-07-24T04:20:35.7472030Z                 (Default: ``AsyncCheckpointerType.THREAD``)
2025-07-24T04:20:35.7472090Z             async_stager (AsyncStager):
2025-07-24T04:20:35.7472250Z                 provides staging implementation. If storage_writer implements AsyncStager
2025-07-24T04:20:35.7472380Z                 and async_stager is provided, async_stager will be used for staging
2025-07-24T04:20:35.7472420Z     
2025-07-24T04:20:35.7472460Z         Returns:
2025-07-24T04:20:35.7472590Z             Future: A future holding the resultant Metadata object from `save`.
2025-07-24T04:20:35.7472640Z     
2025-07-24T04:20:35.7472680Z         Example:
2025-07-24T04:20:35.7472730Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7472790Z             >>> my_model = MyModule()
2025-07-24T04:20:35.7472830Z     
2025-07-24T04:20:35.7472900Z             >>> state_dict = {"model": my_model}
2025-07-24T04:20:35.7472940Z     
2025-07-24T04:20:35.7473090Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-07-24T04:20:35.7473140Z             ...     "/checkpoint/1"
2025-07-24T04:20:35.7473190Z             ... )
2025-07-24T04:20:35.7473310Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-07-24T04:20:35.7473380Z             >>>     state_dict=state_dict,
2025-07-24T04:20:35.7473450Z             >>>     storage_writer=fs_storage_writer,
2025-07-24T04:20:35.7473500Z             >>> )
2025-07-24T04:20:35.7473540Z             >>>
2025-07-24T04:20:35.7473590Z             >>> # ... do some work ...
2025-07-24T04:20:35.7473640Z             >>>
2025-07-24T04:20:35.7473700Z             >>> checkpoint_future.result()
2025-07-24T04:20:35.7473740Z     
2025-07-24T04:20:35.7473780Z         
2025-07-24T04:20:35.7473930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7473970Z     
2025-07-24T04:20:35.7474020Z       warnings.warn(msg)
2025-07-24T04:20:35.7474060Z     
2025-07-24T04:20:35.7474170Z --- Parse Warning: 62 / 136 ---
2025-07-24T04:20:35.7474860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62.
2025-07-24T04:20:35.7475020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7475080Z     
2025-07-24T04:20:35.7475200Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-07-24T04:20:35.7475240Z     
2025-07-24T04:20:35.7475370Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-07-24T04:20:35.7475510Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-07-24T04:20:35.7475650Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-07-24T04:20:35.7475710Z     costs).
2025-07-24T04:20:35.7475750Z     
2025-07-24T04:20:35.7475870Z     Each rank will try to read the least amount of data necessary
2025-07-24T04:20:35.7476030Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-07-24T04:20:35.7476190Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-07-24T04:20:35.7476250Z     
2025-07-24T04:20:35.7476410Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-07-24T04:20:35.7476560Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-07-24T04:20:35.7476670Z     ``load_state_dict`` once the deserialization is complete.
2025-07-24T04:20:35.7476820Z     For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-07-24T04:20:35.7476910Z     it in the ``state_dict`` with the deserialized object.
2025-07-24T04:20:35.7476960Z     
2025-07-24T04:20:35.7477000Z     .. warning::
2025-07-24T04:20:35.7477110Z         All tensors in ``state_dict`` must be allocated on their
2025-07-24T04:20:35.7477210Z         destination device *prior to* calling this function.
2025-07-24T04:20:35.7477250Z     
2025-07-24T04:20:35.7477390Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-07-24T04:20:35.7477430Z         on state_dict.
2025-07-24T04:20:35.7477480Z     
2025-07-24T04:20:35.7477520Z     .. warning::
2025-07-24T04:20:35.7477650Z         Users must call `load_state_dict` on the root module to ensure load
2025-07-24T04:20:35.7477760Z         pos-processing and non-tensor data properly propagates.
2025-07-24T04:20:35.7477800Z     
2025-07-24T04:20:35.7477840Z     .. note:
2025-07-24T04:20:35.7477980Z         If no process group is initialized, this function will assume the intent
2025-07-24T04:20:35.7478110Z         is to load a checkpoint into the local process. This can be useful in the
2025-07-24T04:20:35.7478260Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-07-24T04:20:35.7478310Z          or ShardedTensor)
2025-07-24T04:20:35.7478360Z     
2025-07-24T04:20:35.7478400Z     .. note:
2025-07-24T04:20:35.7478480Z         Rank 0 is assumed to be the coordinator rank.
2025-07-24T04:20:35.7478520Z     
2025-07-24T04:20:35.7481210Z     Args:
2025-07-24T04:20:35.7481370Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-07-24T04:20:35.7481460Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-07-24T04:20:35.7481580Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-07-24T04:20:35.7481710Z             depends on the storage. It can be a path to a folder or to a file.
2025-07-24T04:20:35.7481810Z             It can also be a key if the storage is a key-value store.
2025-07-24T04:20:35.7481870Z             (Default: ``None``)
2025-07-24T04:20:35.7481940Z         storage_reader (Optional[StorageReader]):
2025-07-24T04:20:35.7482070Z             Instance of StorageWriter used to perform reads. If this is not
2025-07-24T04:20:35.7482190Z             specified, DCP will automatically infer the reader based on the
2025-07-24T04:20:35.7482320Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-07-24T04:20:35.7482380Z             be raised. (Default: ``None``)
2025-07-24T04:20:35.7482450Z         planner (Optional[LoadPlanner]):
2025-07-24T04:20:35.7482570Z             Instance of LoadPlanner. If this is not specified, the default
2025-07-24T04:20:35.7482700Z             planner will be used. (Default: ``None``)
2025-07-24T04:20:35.7482770Z         process_group (Optional[ProcessGroup]):
2025-07-24T04:20:35.7482880Z             ProcessGroup to be used for cross-rank synchronization.
2025-07-24T04:20:35.7482940Z             (Default: ``None``)
2025-07-24T04:20:35.7483070Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-07-24T04:20:35.7483240Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-07-24T04:20:35.7483290Z     Returns:
2025-07-24T04:20:35.7483330Z         None.
2025-07-24T04:20:35.7483370Z     
2025-07-24T04:20:35.7483440Z     Examples
2025-07-24T04:20:35.7483490Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7483550Z         >>> my_model = MyModule()
2025-07-24T04:20:35.7483670Z         >>> optimizer = Adagrad(my_model.parameters())
2025-07-24T04:20:35.7483750Z         >>> model_state_dict = my_model.state_dict()
2025-07-24T04:20:35.7483890Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-07-24T04:20:35.7483950Z         ...     "/checkpoint/1"
2025-07-24T04:20:35.7483990Z         ... )
2025-07-24T04:20:35.7484030Z     
2025-07-24T04:20:35.7484130Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-07-24T04:20:35.7484190Z         >>>     state_dict=model_state_dict,
2025-07-24T04:20:35.7484260Z         >>>     storage_reader=fs_storage_reader,
2025-07-24T04:20:35.7484310Z         >>> )
2025-07-24T04:20:35.7484350Z     
2025-07-24T04:20:35.7484470Z         >>> # module.load_state_dict() function might have customized steps
2025-07-24T04:20:35.7484550Z         >>> # to flush the state_dict, must call it to
2025-07-24T04:20:35.7484610Z         >>> # ensure correct behavior.
2025-07-24T04:20:35.7484680Z         >>> my_model.load_state_dict(model_state_dict)
2025-07-24T04:20:35.7484730Z     
2025-07-24T04:20:35.7484770Z     .. note::
2025-07-24T04:20:35.7484900Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-07-24T04:20:35.7485030Z         For NCCL-based process groups, internal tensor representations of
2025-07-24T04:20:35.7485170Z         objects must be moved to the GPU device before communication takes place.
2025-07-24T04:20:35.7485300Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-07-24T04:20:35.7485440Z         and it is the user's responsibility to ensure that this is set so that each
2025-07-24T04:20:35.7485560Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-07-24T04:20:35.7485600Z     
2025-07-24T04:20:35.7485750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7485790Z     
2025-07-24T04:20:35.7485850Z       warnings.warn(msg)
2025-07-24T04:20:35.7485890Z     
2025-07-24T04:20:35.7486000Z --- Parse Warning: 63 / 136 ---
2025-07-24T04:20:35.7486760Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-07-24T04:20:35.7486920Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7486960Z     
2025-07-24T04:20:35.7487090Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-07-24T04:20:35.7487130Z     
2025-07-24T04:20:35.7487230Z     This is the current recommended way to checkpoint FSDP.
2025-07-24T04:20:35.7487280Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7487380Z     >>> import torch.distributed.checkpoint as dist_cp
2025-07-24T04:20:35.7487420Z     >>> # Save
2025-07-24T04:20:35.7487480Z     >>> model: torch.nn.Model
2025-07-24T04:20:35.7487540Z     >>> optim_params = model.parameters()
2025-07-24T04:20:35.7487630Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-07-24T04:20:35.7487690Z     >>> # Save
2025-07-24T04:20:35.7487820Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-07-24T04:20:35.7487870Z     >>>     state_dict = {
2025-07-24T04:20:35.7487970Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-07-24T04:20:35.7488040Z     >>>         "model": model.state_dict()
2025-07-24T04:20:35.7488080Z     >>>     }
2025-07-24T04:20:35.7488160Z     >>>     dist_cp.save_state_dict(
2025-07-24T04:20:35.7488220Z     >>>         state_dict=optim_state,
2025-07-24T04:20:35.7488330Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-07-24T04:20:35.7488430Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-07-24T04:20:35.7488470Z     >>>     )
2025-07-24T04:20:35.7488510Z     >>>
2025-07-24T04:20:35.7488560Z     >>> # Load
2025-07-24T04:20:35.7488710Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-07-24T04:20:35.7488800Z     >>>     model_state_dict = model_tp.state_dict()
2025-07-24T04:20:35.7488850Z     >>>     checkpoint = {
2025-07-24T04:20:35.7488910Z     >>>         "model": model_state_dict
2025-07-24T04:20:35.7488950Z     >>>     }
2025-07-24T04:20:35.7489010Z     >>>     dist_cp.load_state_dict(
2025-07-24T04:20:35.7489070Z     >>>         state_dict=checkpoint,
2025-07-24T04:20:35.7489180Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-07-24T04:20:35.7489260Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-07-24T04:20:35.7489300Z     >>>     )
2025-07-24T04:20:35.7489400Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-07-24T04:20:35.7489440Z     >>>
2025-07-24T04:20:35.7489550Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-07-24T04:20:35.7489600Z     >>>         model_state_dict,
2025-07-24T04:20:35.7489670Z     >>>         optimizer_key="optimizer",
2025-07-24T04:20:35.7489770Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-07-24T04:20:35.7489820Z     >>>     )
2025-07-24T04:20:35.7489860Z     >>>
2025-07-24T04:20:35.7489950Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:35.7490030Z     >>>        model, optim, optim_state["optimizer"]
2025-07-24T04:20:35.7490070Z     >>>     )
2025-07-24T04:20:35.7490110Z     >>>
2025-07-24T04:20:35.7490180Z     >>>     optim.load_state_dict(flattened_osd)
2025-07-24T04:20:35.7490220Z     
2025-07-24T04:20:35.7490380Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7490420Z     
2025-07-24T04:20:35.7490470Z       warnings.warn(msg)
2025-07-24T04:20:35.7490510Z     
2025-07-24T04:20:35.7490610Z --- Parse Warning: 64 / 136 ---
2025-07-24T04:20:35.7491330Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-07-24T04:20:35.7491480Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7491520Z     
2025-07-24T04:20:35.7491660Z     RemoteModule instance can only be created after RPC initialization.
2025-07-24T04:20:35.7491700Z     
2025-07-24T04:20:35.7491820Z     It creates a user-specified module on a specified remote node.
2025-07-24T04:20:35.7491960Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-07-24T04:20:35.7492020Z     executed on the remote node.
2025-07-24T04:20:35.7492160Z     It takes care of autograd recording to ensure the backward pass propagates
2025-07-24T04:20:35.7492260Z     gradients back to the corresponding remote module.
2025-07-24T04:20:35.7492470Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-07-24T04:20:35.7492620Z     without incurring any overheads of copying the actual module,
2025-07-24T04:20:35.7492750Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-07-24T04:20:35.7492810Z     pointing to the remote module.
2025-07-24T04:20:35.7492850Z     
2025-07-24T04:20:35.7492970Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-07-24T04:20:35.7493090Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-07-24T04:20:35.7493160Z     
2025-07-24T04:20:35.7493350Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-07-24T04:20:35.7493390Z     
2025-07-24T04:20:35.7493550Z     Particularly, to create a hybrid model, typically the local modules should be
2025-07-24T04:20:35.7493770Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-07-24T04:20:35.7493850Z     Hybrid Example:
2025-07-24T04:20:35.7493920Z             >>> class HybridModel(nn.Module):
2025-07-24T04:20:35.7493990Z             >>>     def __init__(self) -> None:
2025-07-24T04:20:35.7494050Z             >>>         nn.Module.__init__(self)
2025-07-24T04:20:35.7494140Z             >>>         self.remote_embedding = RemoteModule(...)
2025-07-24T04:20:35.7494220Z             >>>         self.local_linear = nn.Linear(...)
2025-07-24T04:20:35.7494260Z     
2025-07-24T04:20:35.7494380Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-07-24T04:20:35.7494530Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-07-24T04:20:35.7494660Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-07-24T04:20:35.7494740Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-07-24T04:20:35.7494840Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-07-24T04:20:35.7494880Z     
2025-07-24T04:20:35.7494930Z     .. note::
2025-07-24T04:20:35.7495010Z         If the remote module is placed on a cuda device,
2025-07-24T04:20:35.7495160Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-07-24T04:20:35.7495400Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-07-24T04:20:35.7495440Z     
2025-07-24T04:20:35.7495480Z     Args:
2025-07-24T04:20:35.7495660Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:35.7495840Z             The device can be a local device or a remote device specified by one of the following remote
2025-07-24T04:20:35.7495890Z             formats:
2025-07-24T04:20:35.7495920Z     
2025-07-24T04:20:35.7496020Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-07-24T04:20:35.7496110Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-07-24T04:20:35.7496150Z     
2025-07-24T04:20:35.7496300Z             In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:35.7496370Z         module_cls (nn.Module): For example,
2025-07-24T04:20:35.7496440Z             >>> class MyModule(nn.Module):
2025-07-24T04:20:35.7496500Z             >>>     def forward(input):
2025-07-24T04:20:35.7496550Z             >>>         return input + 1
2025-07-24T04:20:35.7496590Z             >>>
2025-07-24T04:20:35.7496650Z             >>> module_cls = MyModule
2025-07-24T04:20:35.7496770Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-07-24T04:20:35.7496890Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-07-24T04:20:35.7497060Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-07-24T04:20:35.7497210Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-07-24T04:20:35.7497340Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-07-24T04:20:35.7497490Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-07-24T04:20:35.7497550Z     
2025-07-24T04:20:35.7497590Z     Returns:
2025-07-24T04:20:35.7497740Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:35.7497880Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-07-24T04:20:35.7498040Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:35.7498150Z         on the user-provided module on the remote side.
2025-07-24T04:20:35.7498190Z     
2025-07-24T04:20:35.7498240Z     Example::
2025-07-24T04:20:35.7498330Z         Run the following code in two different processes:
2025-07-24T04:20:35.7498400Z     
2025-07-24T04:20:35.7498470Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7498520Z         >>> # On worker 0:
2025-07-24T04:20:35.7498590Z         >>> import torch
2025-07-24T04:20:35.7498660Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7498730Z         >>> from torch import nn, Tensor
2025-07-24T04:20:35.7498860Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:35.7498910Z         >>>
2025-07-24T04:20:35.7498990Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:35.7499060Z         >>> remote_linear_module = RemoteModule(
2025-07-24T04:20:35.7499140Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:35.7499190Z         >>> )
2025-07-24T04:20:35.7499250Z         >>> input = torch.randn(128, 20)
2025-07-24T04:20:35.7499340Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-07-24T04:20:35.7499400Z         >>> ret = ret_fut.wait()
2025-07-24T04:20:35.7499450Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7499490Z     
2025-07-24T04:20:35.7499540Z         >>> # On worker 1:
2025-07-24T04:20:35.7499590Z         >>> import torch
2025-07-24T04:20:35.7499670Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7499710Z         >>>
2025-07-24T04:20:35.7499790Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:35.7499840Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7499880Z     
2025-07-24T04:20:35.7500030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7500070Z     
2025-07-24T04:20:35.7500120Z       warnings.warn(msg)
2025-07-24T04:20:35.7500160Z     
2025-07-24T04:20:35.7500260Z --- Parse Warning: 65 / 136 ---
2025-07-24T04:20:35.7501020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-07-24T04:20:35.7501170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7501220Z     
2025-07-24T04:20:35.7501410Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-07-24T04:20:35.7501450Z     
2025-07-24T04:20:35.7501640Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-07-24T04:20:35.7501830Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-07-24T04:20:35.7501870Z     
2025-07-24T04:20:35.7502030Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-07-24T04:20:35.7502140Z     which is not supported. The recommended way is as follows:
2025-07-24T04:20:35.7502190Z     
2025-07-24T04:20:35.7502250Z         1. the sender creates a RemoteModule;
2025-07-24T04:20:35.7502340Z         2. the sender sends its ``module_rref`` over RPC;
2025-07-24T04:20:35.7502540Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-07-24T04:20:35.7502610Z     
2025-07-24T04:20:35.7502650Z     Example::
2025-07-24T04:20:35.7502740Z         Run the following code in two different processes:
2025-07-24T04:20:35.7502780Z     
2025-07-24T04:20:35.7502850Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7502900Z         >>> # On worker 0:
2025-07-24T04:20:35.7502950Z         >>> import torch
2025-07-24T04:20:35.7503020Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7503080Z         >>> from torch import nn, Tensor
2025-07-24T04:20:35.7503240Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:35.7503280Z         >>>
2025-07-24T04:20:35.7503360Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:35.7503450Z         >>> remote_module = RemoteModule(
2025-07-24T04:20:35.7503530Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:35.7503570Z         >>> )
2025-07-24T04:20:35.7503640Z         >>>
2025-07-24T04:20:35.7503710Z         >>> remote_module1 = rpc.rpc_sync(
2025-07-24T04:20:35.7503760Z         >>>     "worker1/cpu",
2025-07-24T04:20:35.7503830Z         >>>     RemoteModule.init_from_module_rref,
2025-07-24T04:20:35.7503930Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-07-24T04:20:35.7503970Z         >>> )
2025-07-24T04:20:35.7504020Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7504060Z     
2025-07-24T04:20:35.7504110Z         >>> # On worker 1:
2025-07-24T04:20:35.7504160Z         >>> import torch
2025-07-24T04:20:35.7504230Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7504270Z         >>>
2025-07-24T04:20:35.7504360Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:35.7504410Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7504450Z     
2025-07-24T04:20:35.7504490Z     Args:
2025-07-24T04:20:35.7504670Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:35.7504850Z             The device can be a local device or a remote device specified by one of the following remote
2025-07-24T04:20:35.7504900Z             formats:
2025-07-24T04:20:35.7504940Z     
2025-07-24T04:20:35.7505030Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-07-24T04:20:35.7505120Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-07-24T04:20:35.7505160Z     
2025-07-24T04:20:35.7505310Z             In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:35.7505460Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-07-24T04:20:35.7505520Z             the created remote module.
2025-07-24T04:20:35.7505690Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-07-24T04:20:35.7505840Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-07-24T04:20:35.7505970Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-07-24T04:20:35.7506110Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-07-24T04:20:35.7506150Z     
2025-07-24T04:20:35.7506200Z     Returns:
2025-07-24T04:20:35.7506340Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:35.7506490Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-07-24T04:20:35.7506650Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:35.7506740Z         on the user-provided module on the remote side.
2025-07-24T04:20:35.7506780Z     
2025-07-24T04:20:35.7506940Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7506980Z     
2025-07-24T04:20:35.7507030Z       warnings.warn(msg)
2025-07-24T04:20:35.7507070Z     
2025-07-24T04:20:35.7507170Z --- Parse Warning: 66 / 136 ---
2025-07-24T04:20:35.7507870Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-07-24T04:20:35.7508050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7508090Z     
2025-07-24T04:20:35.7508230Z         A RemoteModule instance can only be created after RPC initialization.
2025-07-24T04:20:35.7508280Z     
2025-07-24T04:20:35.7508410Z         It creates a user-specified module on a specified remote node.
2025-07-24T04:20:35.7508570Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-07-24T04:20:35.7508630Z         executed on the remote node.
2025-07-24T04:20:35.7508800Z         It takes care of autograd recording to ensure the backward pass propagates
2025-07-24T04:20:35.7508900Z         gradients back to the corresponding remote module.
2025-07-24T04:20:35.7508940Z     
2025-07-24T04:20:35.7509070Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-07-24T04:20:35.7509200Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-07-24T04:20:35.7509350Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-07-24T04:20:35.7509470Z         and ``forward`` are the same as the ``forward`` method of the module
2025-07-24T04:20:35.7509540Z         returned by the ``module_cls``.
2025-07-24T04:20:35.7509580Z     
2025-07-24T04:20:35.7509700Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-07-24T04:20:35.7509850Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-07-24T04:20:35.7509990Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-07-24T04:20:35.7510030Z     
2025-07-24T04:20:35.7510110Z         | ``def forward(input: Tensor) -> Tensor:``
2025-07-24T04:20:35.7510210Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-07-24T04:20:35.7510250Z     
2025-07-24T04:20:35.7510290Z     Args:
2025-07-24T04:20:35.7510470Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-07-24T04:20:35.7510680Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-07-24T04:20:35.7510770Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-07-24T04:20:35.7510910Z             In addition, the device field can be optional and the default value is "cpu".
2025-07-24T04:20:35.7511070Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-07-24T04:20:35.7511110Z     
2025-07-24T04:20:35.7511170Z             >>> class MyModule(nn.Module):
2025-07-24T04:20:35.7511230Z             >>>     def forward(input):
2025-07-24T04:20:35.7511290Z             >>>         return input + 1
2025-07-24T04:20:35.7511330Z             >>>
2025-07-24T04:20:35.7511390Z             >>> module_cls = MyModule
2025-07-24T04:20:35.7511430Z     
2025-07-24T04:20:35.7511550Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-07-24T04:20:35.7511670Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-07-24T04:20:35.7511710Z     
2025-07-24T04:20:35.7511750Z     Returns:
2025-07-24T04:20:35.7511900Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-07-24T04:20:35.7512040Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-07-24T04:20:35.7512200Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-07-24T04:20:35.7512300Z         on the user-provided module on the remote side.
2025-07-24T04:20:35.7512340Z     
2025-07-24T04:20:35.7512380Z     Example::
2025-07-24T04:20:35.7512470Z         Run the following code in two different processes:
2025-07-24T04:20:35.7512630Z     
2025-07-24T04:20:35.7512690Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7512740Z         >>> # On worker 0:
2025-07-24T04:20:35.7512790Z         >>> import torch
2025-07-24T04:20:35.7512870Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7512930Z         >>> from torch import nn, Tensor
2025-07-24T04:20:35.7513060Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-07-24T04:20:35.7513180Z         >>>
2025-07-24T04:20:35.7513260Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:35.7513340Z         >>> remote_linear_module = RemoteModule(
2025-07-24T04:20:35.7513430Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-07-24T04:20:35.7513480Z         >>> )
2025-07-24T04:20:35.7513540Z         >>> input = torch.randn(128, 20)
2025-07-24T04:20:35.7513660Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-07-24T04:20:35.7513720Z         >>> ret = ret_fut.wait()
2025-07-24T04:20:35.7513770Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7513810Z     
2025-07-24T04:20:35.7513860Z         >>> # On worker 1:
2025-07-24T04:20:35.7513900Z         >>> import torch
2025-07-24T04:20:35.7513980Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7514020Z         >>>
2025-07-24T04:20:35.7514100Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:35.7514150Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7514190Z     
2025-07-24T04:20:35.7514310Z         Furthermore, a more practical example that is combined with
2025-07-24T04:20:35.7514590Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-07-24T04:20:35.7514790Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-07-24T04:20:35.7514830Z     
2025-07-24T04:20:35.7514990Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7515030Z     
2025-07-24T04:20:35.7515080Z       warnings.warn(msg)
2025-07-24T04:20:35.7515120Z     
2025-07-24T04:20:35.7515220Z --- Parse Warning: 67 / 136 ---
2025-07-24T04:20:35.7515970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-07-24T04:20:35.7516120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7516160Z     
2025-07-24T04:20:35.7516290Z     Initialize rendezvous event object and record its operations.
2025-07-24T04:20:35.7516330Z     
2025-07-24T04:20:35.7516370Z     Args:
2025-07-24T04:20:35.7516450Z         run_id (str): The run id of the rendezvous.
2025-07-24T04:20:35.7516540Z         message (str): The message describing the event.
2025-07-24T04:20:35.7516690Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-07-24T04:20:35.7516810Z         name (str): Event name. (E.g. Current action being performed).
2025-07-24T04:20:35.7516880Z         hostname (str): Hostname of the node.
2025-07-24T04:20:35.7516960Z         pid (Optional[int]): The process id of the node.
2025-07-24T04:20:35.7517110Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-07-24T04:20:35.7517280Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-07-24T04:20:35.7517380Z         rank (Optional[int]): The rank of the node, if known.
2025-07-24T04:20:35.7517420Z     Returns:
2025-07-24T04:20:35.7517460Z         None
2025-07-24T04:20:35.7517500Z     Example:
2025-07-24T04:20:35.7517580Z         >>> # See DynamicRendezvousHandler class
2025-07-24T04:20:35.7517630Z         >>> def _record(
2025-07-24T04:20:35.7517700Z         ...     self,
2025-07-24T04:20:35.7517750Z         ...     message: str,
2025-07-24T04:20:35.7517840Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-07-24T04:20:35.7517900Z         ...     rank: Optional[int] = None,
2025-07-24T04:20:35.7517940Z         ... ) -> None:
2025-07-24T04:20:35.7518020Z         ...     construct_and_record_rdzv_event(
2025-07-24T04:20:35.7518120Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-07-24T04:20:35.7518210Z         ...         run_id=self._settings.run_id,
2025-07-24T04:20:35.7518270Z         ...         message=message,
2025-07-24T04:20:35.7518330Z         ...         node_state=node_state,
2025-07-24T04:20:35.7518430Z         ...         hostname=self._this_node.addr,
2025-07-24T04:20:35.7518490Z         ...         pid=self._this_node.pid,
2025-07-24T04:20:35.7518590Z         ...         local_id=self._this_node.local_id,
2025-07-24T04:20:35.7518640Z         ...         rank=rank,
2025-07-24T04:20:35.7518680Z         ...     )
2025-07-24T04:20:35.7518720Z     
2025-07-24T04:20:35.7518880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7518920Z     
2025-07-24T04:20:35.7518970Z       warnings.warn(msg)
2025-07-24T04:20:35.7519010Z     
2025-07-24T04:20:35.7519110Z --- Parse Warning: 68 / 136 ---
2025-07-24T04:20:35.7519810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-07-24T04:20:35.7519970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7520010Z     
2025-07-24T04:20:35.7520150Z     Custom reducer class that can be used to specify a custom operation that
2025-07-24T04:20:35.7520260Z     reduces losses of multiple microbatches into one value.
2025-07-24T04:20:35.7520300Z     
2025-07-24T04:20:35.7520340Z     Example:
2025-07-24T04:20:35.7520390Z     >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7520460Z     >>> sum_reducer = _CustomReducer(
2025-07-24T04:20:35.7520510Z     >>>     torch.tensor(0.0),
2025-07-24T04:20:35.7520560Z     >>>     lambda a, b: a + b
2025-07-24T04:20:35.7520600Z     >>> )
2025-07-24T04:20:35.7520650Z     
2025-07-24T04:20:35.7520800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7520840Z     
2025-07-24T04:20:35.7520890Z       warnings.warn(msg)
2025-07-24T04:20:35.7520930Z     
2025-07-24T04:20:35.7521020Z --- Parse Warning: 69 / 136 ---
2025-07-24T04:20:35.7521790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-07-24T04:20:35.7521950Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7521990Z     
2025-07-24T04:20:35.7522110Z     Averages parameters periodically after the warm-up stage.
2025-07-24T04:20:35.7522150Z     
2025-07-24T04:20:35.7522300Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-07-24T04:20:35.7522420Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-07-24T04:20:35.7522570Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-07-24T04:20:35.7522610Z     
2025-07-24T04:20:35.7522650Z     Args:
2025-07-24T04:20:35.7522750Z         period (int): The number of steps per model averaging.
2025-07-24T04:20:35.7522920Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-07-24T04:20:35.7523000Z                       Otherwise, only DDP needs to be used.
2025-07-24T04:20:35.7523160Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-07-24T04:20:35.7523230Z                             model averaging is skipped.
2025-07-24T04:20:35.7523350Z         process_group: The process group to be used for all-reduce.
2025-07-24T04:20:35.7523440Z                        If ``None``, the default process group, which
2025-07-24T04:20:35.7523560Z                        is created by :func:`torch.distributed.init_process_group`,
2025-07-24T04:20:35.7523660Z                        will be used. (default: ``None``)
2025-07-24T04:20:35.7523700Z     
2025-07-24T04:20:35.7523750Z     Example::
2025-07-24T04:20:35.7523790Z     
2025-07-24T04:20:35.7523890Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7523940Z         >>> import torch
2025-07-24T04:20:35.7524010Z         >>> import torch.distributed as dist
2025-07-24T04:20:35.7524230Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-07-24T04:20:35.7524400Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-07-24T04:20:35.7524460Z         >>> import torch.nn as nn
2025-07-24T04:20:35.7524500Z         >>>
2025-07-24T04:20:35.7524610Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-07-24T04:20:35.7524670Z         >>> torch.cuda.set_device(rank)
2025-07-24T04:20:35.7524750Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-07-24T04:20:35.7524850Z         >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:35.7524940Z         >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:35.7524980Z         >>> )
2025-07-24T04:20:35.7525070Z         >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:35.7525240Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-07-24T04:20:35.7525350Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:35.7525390Z         >>>
2025-07-24T04:20:35.7525560Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-07-24T04:20:35.7525650Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-07-24T04:20:35.7525850Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:35.7526000Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-07-24T04:20:35.7526060Z         >>> for step in range(0, 200):
2025-07-24T04:20:35.7526120Z         >>>    optimizer.zero_grad()
2025-07-24T04:20:35.7526190Z         >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:35.7526240Z         >>>    loss.backward()
2025-07-24T04:20:35.7526300Z         >>>    optimizer.step()
2025-07-24T04:20:35.7526420Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-07-24T04:20:35.7526540Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-07-24T04:20:35.7526620Z         >>>    # the initial ``warmup_steps`` period.
2025-07-24T04:20:35.7526720Z         >>>    averager.average_parameters(model.parameters())
2025-07-24T04:20:35.7526760Z     
2025-07-24T04:20:35.7526910Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7526950Z     
2025-07-24T04:20:35.7527010Z       warnings.warn(msg)
2025-07-24T04:20:35.7527050Z     
2025-07-24T04:20:35.7527150Z --- Parse Warning: 70 / 136 ---
2025-07-24T04:20:35.7527980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-07-24T04:20:35.7528140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7528200Z     
2025-07-24T04:20:35.7528400Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-07-24T04:20:35.7528450Z     
2025-07-24T04:20:35.7528630Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-07-24T04:20:35.7528760Z     by using different periods concurrently after the warm-up stage.
2025-07-24T04:20:35.7529020Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-07-24T04:20:35.7529220Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-07-24T04:20:35.7529430Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-07-24T04:20:35.7529660Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-07-24T04:20:35.7529850Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-07-24T04:20:35.7530010Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-07-24T04:20:35.7530050Z     
2025-07-24T04:20:35.7530100Z     Args:
2025-07-24T04:20:35.7530250Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-07-24T04:20:35.7530380Z                                 process group size, used for initializing process groups of
2025-07-24T04:20:35.7530520Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-07-24T04:20:35.7530650Z                                 Particularly, at each iteration, there will be at most a single
2025-07-24T04:20:35.7530800Z                                 process group that runs averaging -- the period of such group should
2025-07-24T04:20:35.7530930Z                                 have the largest period which the current step can be divided by.
2025-07-24T04:20:35.7531040Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-07-24T04:20:35.7531170Z                                 then this means totally three process groups will be created to
2025-07-24T04:20:35.7531300Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-07-24T04:20:35.7531420Z                                 At the 4th iteration, only the second process group will run
2025-07-24T04:20:35.7531530Z                                 averaging, because the first process group should be a
2025-07-24T04:20:35.7531670Z                                 subset of the second process group, and no need to execute the first
2025-07-24T04:20:35.7531750Z                                 process group redundantly.
2025-07-24T04:20:35.7531880Z                                 On the other hand, the third process group can only be triggered
2025-07-24T04:20:35.7532010Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-07-24T04:20:35.7532200Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-07-24T04:20:35.7532460Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-07-24T04:20:35.7532570Z                                                 If ``None``, the default process group, which is created
2025-07-24T04:20:35.7532710Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-07-24T04:20:35.7532790Z                                                 (default: ``None``)
2025-07-24T04:20:35.7532830Z     
2025-07-24T04:20:35.7532870Z     Example::
2025-07-24T04:20:35.7532940Z         >>> # xdoctest: +SKIP('undefined rank')
2025-07-24T04:20:35.7533020Z         >>> from collections import OrderedDict
2025-07-24T04:20:35.7533070Z         >>> import torch
2025-07-24T04:20:35.7533170Z         >>> import torch.distributed as dist
2025-07-24T04:20:35.7533340Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-07-24T04:20:35.7533400Z         >>>     PostLocalSGDState,
2025-07-24T04:20:35.7533460Z         >>>     post_localSGD_hook,
2025-07-24T04:20:35.7536150Z         >>> )
2025-07-24T04:20:35.7536390Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-07-24T04:20:35.7536520Z         >>> import torch.nn as nn
2025-07-24T04:20:35.7536560Z         >>>
2025-07-24T04:20:35.7536670Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-07-24T04:20:35.7536750Z         >>> torch.cuda.set_device(rank)
2025-07-24T04:20:35.7536830Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-07-24T04:20:35.7536930Z         >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:35.7537040Z         >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:35.7537080Z         >>> )
2025-07-24T04:20:35.7537170Z         >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:35.7537340Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-07-24T04:20:35.7537410Z         >>> subgroup, _ = dist.new_subgroups()
2025-07-24T04:20:35.7537590Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-07-24T04:20:35.7537700Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:35.7537740Z         >>>
2025-07-24T04:20:35.7537910Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-07-24T04:20:35.7537990Z         >>> # the 16 processes every 16 iterations.
2025-07-24T04:20:35.7538100Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-07-24T04:20:35.7538240Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-07-24T04:20:35.7538440Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:35.7538600Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-07-24T04:20:35.7538700Z         >>> # After 100 steps, run model averaging at two levels.
2025-07-24T04:20:35.7538760Z         >>> for step in range(0, 200):
2025-07-24T04:20:35.7538820Z         >>>    optimizer.zero_grad()
2025-07-24T04:20:35.7538890Z         >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:35.7538940Z         >>>    loss.backward()
2025-07-24T04:20:35.7539000Z         >>>    optimizer.step()
2025-07-24T04:20:35.7539090Z         >>>    # Average parameters after ``optimizer.step()``.
2025-07-24T04:20:35.7539270Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-07-24T04:20:35.7539370Z         >>>    averager.average_parameters(model.parameters())
2025-07-24T04:20:35.7539410Z     
2025-07-24T04:20:35.7539460Z     .. warning ::
2025-07-24T04:20:35.7539610Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-07-24T04:20:35.7539750Z         which indicates model averaging at the highest level of the hierarchy.
2025-07-24T04:20:35.7539940Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-07-24T04:20:35.7539980Z     
2025-07-24T04:20:35.7540030Z     .. warning ::
2025-07-24T04:20:35.7540170Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-07-24T04:20:35.7540210Z     
2025-07-24T04:20:35.7540360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7540400Z     
2025-07-24T04:20:35.7540460Z       warnings.warn(msg)
2025-07-24T04:20:35.7540490Z     
2025-07-24T04:20:35.7540610Z --- Parse Warning: 71 / 136 ---
2025-07-24T04:20:35.7541390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-07-24T04:20:35.7541570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7541610Z     
2025-07-24T04:20:35.7541670Z     Run post-localSGD algorithm.
2025-07-24T04:20:35.7541740Z     
2025-07-24T04:20:35.7541890Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-07-24T04:20:35.7541980Z     by combining with a model averaging component (e.g.,
2025-07-24T04:20:35.7542210Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-07-24T04:20:35.7542280Z     that runs after the optimizer step.
2025-07-24T04:20:35.7542340Z     
2025-07-24T04:20:35.7542380Z     Args:
2025-07-24T04:20:35.7542520Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-07-24T04:20:35.7542690Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-07-24T04:20:35.7542940Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-07-24T04:20:35.7543090Z             Note that since DDP comm hook only supports single process single device mode,
2025-07-24T04:20:35.7543180Z             only exactly one tensor is stored in this bucket.
2025-07-24T04:20:35.7543230Z     
2025-07-24T04:20:35.7543270Z     Returns:
2025-07-24T04:20:35.7543420Z         Future handler of the communication, which updates the gradients in place.
2025-07-24T04:20:35.7543460Z     
2025-07-24T04:20:35.7543500Z     Example::
2025-07-24T04:20:35.7543560Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7543710Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-07-24T04:20:35.7543790Z                                   start_localSGD_iter=10)
2025-07-24T04:20:35.7543900Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:35.7544100Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-07-24T04:20:35.7544300Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-07-24T04:20:35.7544350Z     
2025-07-24T04:20:35.7544500Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7544540Z     
2025-07-24T04:20:35.7544590Z       warnings.warn(msg)
2025-07-24T04:20:35.7544630Z     
2025-07-24T04:20:35.7544730Z --- Parse Warning: 72 / 136 ---
2025-07-24T04:20:35.7545480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-07-24T04:20:35.7545640Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7545680Z     
2025-07-24T04:20:35.7545740Z     Implement PowerSGD algorithm.
2025-07-24T04:20:35.7545780Z     
2025-07-24T04:20:35.7545920Z     This DDP communication hook implements PowerSGD gradient compression
2025-07-24T04:20:35.7546070Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-07-24T04:20:35.7546210Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-07-24T04:20:35.7546270Z     compression as follows:
2025-07-24T04:20:35.7546310Z     
2025-07-24T04:20:35.7546580Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-07-24T04:20:35.7546620Z     
2025-07-24T04:20:35.7546860Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-07-24T04:20:35.7546930Z     
2025-07-24T04:20:35.7547170Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-07-24T04:20:35.7547220Z     
2025-07-24T04:20:35.7547280Z     2. Handles uncompressed tensors:
2025-07-24T04:20:35.7547320Z     
2025-07-24T04:20:35.7547620Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-07-24T04:20:35.7547680Z     
2025-07-24T04:20:35.7547910Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-07-24T04:20:35.7547950Z     
2025-07-24T04:20:35.7548090Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-07-24T04:20:35.7548160Z     
2025-07-24T04:20:35.7548310Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-07-24T04:20:35.7548500Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-07-24T04:20:35.7548540Z     
2025-07-24T04:20:35.7548630Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-07-24T04:20:35.7548670Z     
2025-07-24T04:20:35.7548730Z         3.3. Allreduces Ps as a batch;
2025-07-24T04:20:35.7548780Z     
2025-07-24T04:20:35.7548840Z         3.4. Orthogonalizes each P in Ps;
2025-07-24T04:20:35.7548880Z     
2025-07-24T04:20:35.7549000Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-07-24T04:20:35.7549050Z     
2025-07-24T04:20:35.7549110Z         3.6. Allreduces Qs as a batch;
2025-07-24T04:20:35.7549150Z     
2025-07-24T04:20:35.7549320Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-07-24T04:20:35.7549370Z     
2025-07-24T04:20:35.7549610Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-07-24T04:20:35.7549780Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-07-24T04:20:35.7550040Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-07-24T04:20:35.7550080Z     
2025-07-24T04:20:35.7550120Z     Args:
2025-07-24T04:20:35.7550380Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-07-24T04:20:35.7550600Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-07-24T04:20:35.7550660Z             and ``min_compression_rate``.
2025-07-24T04:20:35.7550910Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-07-24T04:20:35.7551060Z             Note that since DDP comm hook only supports single process single device mode,
2025-07-24T04:20:35.7551160Z             only exactly one tensor is stored in this bucket.
2025-07-24T04:20:35.7551200Z     
2025-07-24T04:20:35.7551240Z     Returns:
2025-07-24T04:20:35.7551390Z         Future handler of the communication, which updates the gradients in place.
2025-07-24T04:20:35.7551430Z     
2025-07-24T04:20:35.7551470Z     Example::
2025-07-24T04:20:35.7551530Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7551690Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-07-24T04:20:35.7551800Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-07-24T04:20:35.7551890Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-07-24T04:20:35.7551930Z     
2025-07-24T04:20:35.7552090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7552130Z     
2025-07-24T04:20:35.7552200Z       warnings.warn(msg)
2025-07-24T04:20:35.7552240Z     
2025-07-24T04:20:35.7552350Z --- Parse Warning: 73 / 136 ---
2025-07-24T04:20:35.7553100Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-07-24T04:20:35.7553280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7553320Z     
2025-07-24T04:20:35.7553570Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-07-24T04:20:35.7553670Z     This optimizer runs local optimizer at every step.
2025-07-24T04:20:35.7553890Z     After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-07-24T04:20:35.7553930Z     
2025-07-24T04:20:35.7553980Z     Args:
2025-07-24T04:20:35.7554040Z         optim: The local optimizer.
2025-07-24T04:20:35.7554170Z         averager: A model averager instance to run post-localSGD algorithm.
2025-07-24T04:20:35.7554210Z     
2025-07-24T04:20:35.7554250Z     Example::
2025-07-24T04:20:35.7554290Z     
2025-07-24T04:20:35.7554370Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7554420Z         >>> import torch
2025-07-24T04:20:35.7554490Z         >>> import torch.distributed as dist
2025-07-24T04:20:35.7554660Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-07-24T04:20:35.7554710Z         >>> import torch.nn as nn
2025-07-24T04:20:35.7554840Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-07-24T04:20:35.7555000Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-07-24T04:20:35.7555060Z         >>>   PostLocalSGDState,
2025-07-24T04:20:35.7555120Z         >>>   post_localSGD_hook,
2025-07-24T04:20:35.7555160Z         >>> )
2025-07-24T04:20:35.7555200Z         >>>
2025-07-24T04:20:35.7555300Z         >>> model = nn.parallel.DistributedDataParallel(
2025-07-24T04:20:35.7555380Z         >>>    module, device_ids=[rank], output_device=rank
2025-07-24T04:20:35.7555430Z         >>> )
2025-07-24T04:20:35.7555470Z         >>>
2025-07-24T04:20:35.7555560Z         >>> # Register a post-localSGD communication hook.
2025-07-24T04:20:35.7555730Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-07-24T04:20:35.7555830Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-07-24T04:20:35.7555880Z         >>>
2025-07-24T04:20:35.7556000Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-07-24T04:20:35.7556160Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-07-24T04:20:35.7556260Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-07-24T04:20:35.7556400Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-07-24T04:20:35.7556460Z         >>> opt = PostLocalSGDOptimizer(
2025-07-24T04:20:35.7556520Z         >>>     optim=local_optim,
2025-07-24T04:20:35.7556670Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-07-24T04:20:35.7556710Z         >>> )
2025-07-24T04:20:35.7556750Z         >>>
2025-07-24T04:20:35.7556890Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-07-24T04:20:35.7557070Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-07-24T04:20:35.7557300Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-07-24T04:20:35.7557360Z         >>> for step in range(0, 200):
2025-07-24T04:20:35.7557410Z         >>>    opt.zero_grad()
2025-07-24T04:20:35.7557510Z         >>>    loss = loss_fn(output, labels)
2025-07-24T04:20:35.7557570Z         >>>    loss.backward()
2025-07-24T04:20:35.7557620Z         >>>    opt.step()
2025-07-24T04:20:35.7557660Z     
2025-07-24T04:20:35.7557810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7557850Z     
2025-07-24T04:20:35.7557910Z       warnings.warn(msg)
2025-07-24T04:20:35.7557940Z     
2025-07-24T04:20:35.7558050Z --- Parse Warning: 74 / 136 ---
2025-07-24T04:20:35.7558800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-07-24T04:20:35.7558980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7559020Z     
2025-07-24T04:20:35.7559170Z     DistributedOptimizer takes remote references to parameters scattered
2025-07-24T04:20:35.7559310Z     across workers and applies the given optimizer locally for each parameter.
2025-07-24T04:20:35.7559350Z     
2025-07-24T04:20:35.7559500Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-07-24T04:20:35.7559590Z     to retrieve the gradients for specific parameters.
2025-07-24T04:20:35.7559630Z     
2025-07-24T04:20:35.7559680Z     Concurrent calls to
2025-07-24T04:20:35.7559810Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-07-24T04:20:35.7559890Z     either from the same or different clients, will
2025-07-24T04:20:35.7560030Z     be serialized on each worker -- as each worker's optimizer can only work
2025-07-24T04:20:35.7560160Z     on one set of gradients at a time. However, there is no guarantee that
2025-07-24T04:20:35.7560310Z     the full forward-backward-optimizer sequence will execute for one client
2025-07-24T04:20:35.7560440Z     at a time. This means that the gradients being applied may not correspond
2025-07-24T04:20:35.7560570Z     to the latest forward pass executed on a given worker. Also, there is no
2025-07-24T04:20:35.7560630Z     guaranteed ordering across workers.
2025-07-24T04:20:35.7560680Z     
2025-07-24T04:20:35.7560830Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-07-24T04:20:35.7560970Z     by default, so that optimizer updates are not blocked by the Python Global
2025-07-24T04:20:35.7561120Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-07-24T04:20:35.7561260Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-07-24T04:20:35.7561420Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-07-24T04:20:35.7561480Z     for your own custom optimizers.
2025-07-24T04:20:35.7561520Z     
2025-07-24T04:20:35.7561560Z     Args:
2025-07-24T04:20:35.7561690Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-07-24T04:20:35.7561750Z             instantiate on each worker.
2025-07-24T04:20:35.7561880Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-07-24T04:20:35.7561930Z             to optimize.
2025-07-24T04:20:35.7562060Z         args: arguments to pass to the optimizer constructor on each worker.
2025-07-24T04:20:35.7562190Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-07-24T04:20:35.7562240Z     
2025-07-24T04:20:35.7562280Z     Example::
2025-07-24T04:20:35.7562350Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7562450Z         >>> import torch.distributed.autograd as dist_autograd
2025-07-24T04:20:35.7562530Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7562590Z         >>> from torch import optim
2025-07-24T04:20:35.7562700Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-07-24T04:20:35.7562740Z         >>>
2025-07-24T04:20:35.7562850Z         >>> with dist_autograd.context() as context_id:
2025-07-24T04:20:35.7562910Z         >>>   # Forward pass.
2025-07-24T04:20:35.7563030Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-07-24T04:20:35.7563150Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-07-24T04:20:35.7563230Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-07-24T04:20:35.7563270Z         >>>
2025-07-24T04:20:35.7563340Z         >>>   # Backward pass.
2025-07-24T04:20:35.7563440Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-07-24T04:20:35.7563480Z         >>>
2025-07-24T04:20:35.7563530Z         >>>   # Optimizer.
2025-07-24T04:20:35.7563650Z         >>>   dist_optim = DistributedOptimizer(
2025-07-24T04:20:35.7563700Z         >>>      optim.SGD,
2025-07-24T04:20:35.7563760Z         >>>      [rref1, rref2],
2025-07-24T04:20:35.7563820Z         >>>      lr=0.05,
2025-07-24T04:20:35.7563870Z         >>>   )
2025-07-24T04:20:35.7563930Z         >>>   dist_optim.step(context_id)
2025-07-24T04:20:35.7563970Z     
2025-07-24T04:20:35.7564060Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-07-24T04:20:35.7564110Z     
2025-07-24T04:20:35.7564250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7564300Z     
2025-07-24T04:20:35.7564350Z       warnings.warn(msg)
2025-07-24T04:20:35.7564390Z     
2025-07-24T04:20:35.7564490Z --- Parse Warning: 75 / 136 ---
2025-07-24T04:20:35.7565250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-07-24T04:20:35.7565410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7565460Z     
2025-07-24T04:20:35.7565700Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-07-24T04:20:35.7565740Z     
2025-07-24T04:20:35.7565890Z     The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-07-24T04:20:35.7565930Z     
2025-07-24T04:20:35.7566020Z     The local optimizer instance in each rank is only
2025-07-24T04:20:35.7566160Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-07-24T04:20:35.7566290Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-07-24T04:20:35.7566440Z     parameters are updated locally, each rank will broadcast its parameters to
2025-07-24T04:20:35.7566550Z     all other peers to keep all model replicas in the same state.
2025-07-24T04:20:35.7566670Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-07-24T04:20:35.7566830Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-07-24T04:20:35.7566880Z     memory consumption.
2025-07-24T04:20:35.7566920Z     
2025-07-24T04:20:35.7567070Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-07-24T04:20:35.7567210Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-07-24T04:20:35.7567360Z     not divided among ranks. The partition is arbitrary and might not match the
2025-07-24T04:20:35.7567430Z     the parameter registration or usage order.
2025-07-24T04:20:35.7567480Z     
2025-07-24T04:20:35.7567520Z     Arguments:
2025-07-24T04:20:35.7567640Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-07-24T04:20:35.7567760Z             or :class:`dict` s giving all parameters, which will be sharded
2025-07-24T04:20:35.7567810Z             across ranks.
2025-07-24T04:20:35.7567850Z     
2025-07-24T04:20:35.7567890Z     Keyword Args:
2025-07-24T04:20:35.7568030Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-07-24T04:20:35.7568100Z             optimizer.
2025-07-24T04:20:35.7568230Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-07-24T04:20:35.7568350Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-07-24T04:20:35.7568440Z             :meth:`torch.distributed.init_process_group`).
2025-07-24T04:20:35.7568580Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-07-24T04:20:35.7568710Z             packed into buckets to speed up communication, and ``param.data``
2025-07-24T04:20:35.7568870Z             fields point to bucket views at different offsets; if ``False``,
2025-07-24T04:20:35.7569020Z             each individual parameter is communicated separately, and each
2025-07-24T04:20:35.7569120Z             ``params.data`` stays intact (default: ``False``).
2025-07-24T04:20:35.7569270Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-07-24T04:20:35.7569390Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-07-24T04:20:35.7569530Z             synchronization; this requires (1) either a functional optimizer
2025-07-24T04:20:35.7569640Z             for the ``optimizer_class`` argument or one with a functional
2025-07-24T04:20:35.7569750Z             equivalent and (2) registering a DDP communication hook
2025-07-24T04:20:35.7569870Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-07-24T04:20:35.7569970Z             parameters are packed into buckets matching those in
2025-07-24T04:20:35.7570070Z             :class:`DistributedDataParallel`, meaning that the
2025-07-24T04:20:35.7570160Z             ``parameters_as_bucket_view`` argument is ignored.
2025-07-24T04:20:35.7570280Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-07-24T04:20:35.7570330Z             (per normal).
2025-07-24T04:20:35.7570390Z             (default: ``False``)
2025-07-24T04:20:35.7570520Z         **defaults: any trailing arguments, which are forwarded to the local
2025-07-24T04:20:35.7570570Z             optimizer.
2025-07-24T04:20:35.7570610Z     
2025-07-24T04:20:35.7570650Z     Example::
2025-07-24T04:20:35.7570690Z     
2025-07-24T04:20:35.7570750Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7570800Z         >>> import torch.nn as nn
2025-07-24T04:20:35.7570930Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-07-24T04:20:35.7571050Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-07-24T04:20:35.7571200Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-07-24T04:20:35.7571270Z         >>> ddp = DDP(model, device_ids=[rank])
2025-07-24T04:20:35.7571340Z         >>> opt = ZeroRedundancyOptimizer(
2025-07-24T04:20:35.7571400Z         >>>     ddp.parameters(),
2025-07-24T04:20:35.7571480Z         >>>     optimizer_class=torch.optim.Adam,
2025-07-24T04:20:35.7571520Z         >>>     lr=0.01
2025-07-24T04:20:35.7571560Z         >>> )
2025-07-24T04:20:35.7571630Z         >>> ddp(inputs).sum().backward()
2025-07-24T04:20:35.7571670Z         >>> opt.step()
2025-07-24T04:20:35.7571710Z     
2025-07-24T04:20:35.7571760Z     .. warning::
2025-07-24T04:20:35.7571890Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-07-24T04:20:35.7571970Z         passed-in parameters are the same dense type.
2025-07-24T04:20:35.7572010Z     
2025-07-24T04:20:35.7572060Z     .. warning::
2025-07-24T04:20:35.7572190Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-07-24T04:20:35.7572310Z         the way that overlapping :class:`DistributedDataParallel` with
2025-07-24T04:20:35.7572460Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-07-24T04:20:35.7572590Z         two or three training iterations do not perform parameter updates in
2025-07-24T04:20:35.7572710Z         the optimizer step, depending on if ``static_graph=False`` or
2025-07-24T04:20:35.7572820Z         ``static_graph=True``, respectively. This is because it needs
2025-07-24T04:20:35.7572950Z         information about the gradient bucketing strategy used by
2025-07-24T04:20:35.7573090Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-07-24T04:20:35.7573210Z         second forward pass if ``static_graph=False`` or until the third
2025-07-24T04:20:35.7573340Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-07-24T04:20:35.7573410Z         is to prepend dummy inputs.
2025-07-24T04:20:35.7573460Z     
2025-07-24T04:20:35.7573610Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-07-24T04:20:35.7573650Z     
2025-07-24T04:20:35.7573820Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7573860Z     
2025-07-24T04:20:35.7573920Z       warnings.warn(msg)
2025-07-24T04:20:35.7573980Z     
2025-07-24T04:20:35.7574080Z --- Parse Warning: 76 / 136 ---
2025-07-24T04:20:35.7574910Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=637.
2025-07-24T04:20:35.7575060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7575220Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-07-24T04:20:35.7575260Z     
2025-07-24T04:20:35.7575420Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-07-24T04:20:35.7575550Z             The target module does not have to be a FSDP module. If the target
2025-07-24T04:20:35.7575680Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-07-24T04:20:35.7575720Z     
2025-07-24T04:20:35.7575840Z             .. note:: This API should be called for only the top-level (root)
2025-07-24T04:20:35.7575890Z                 module.
2025-07-24T04:20:35.7575930Z     
2025-07-24T04:20:35.7576050Z             .. note:: This API enables users to transparently use the conventional
2025-07-24T04:20:35.7576170Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-07-24T04:20:35.7576300Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-07-24T04:20:35.7576430Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-07-24T04:20:35.7576570Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-07-24T04:20:35.7576620Z                 for FSDP:
2025-07-24T04:20:35.7576670Z     
2025-07-24T04:20:35.7576710Z             Example::
2025-07-24T04:20:35.7576750Z     
2025-07-24T04:20:35.7576840Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7576900Z                 >>> model = DDP(FSDP(...))
2025-07-24T04:20:35.7576970Z                 >>> FSDP.set_state_dict_type(
2025-07-24T04:20:35.7577020Z                 >>>     model,
2025-07-24T04:20:35.7577100Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-07-24T04:20:35.7577230Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-07-24T04:20:35.7577370Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-07-24T04:20:35.7577410Z                 >>> )
2025-07-24T04:20:35.7577490Z                 >>> param_state_dict = model.state_dict()
2025-07-24T04:20:35.7577600Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-07-24T04:20:35.7577640Z     
2025-07-24T04:20:35.7577690Z             Args:
2025-07-24T04:20:35.7577760Z                 module (torch.nn.Module): Root module.
2025-07-24T04:20:35.7577910Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-07-24T04:20:35.7578080Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-07-24T04:20:35.7578150Z                     target ``state_dict_type``.
2025-07-24T04:20:35.7578310Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-07-24T04:20:35.7578380Z                     for the optimizer state dict.
2025-07-24T04:20:35.7578420Z     
2025-07-24T04:20:35.7578460Z             Returns:
2025-07-24T04:20:35.7578630Z                 A StateDictSettings that include the previous state_dict type and
2025-07-24T04:20:35.7578700Z                 configuration for the module.
2025-07-24T04:20:35.7578740Z             
2025-07-24T04:20:35.7578910Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7578950Z     
2025-07-24T04:20:35.7579000Z       warnings.warn(msg)
2025-07-24T04:20:35.7579060Z     
2025-07-24T04:20:35.7579170Z --- Parse Warning: 77 / 136 ---
2025-07-24T04:20:35.7579980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=795.
2025-07-24T04:20:35.7580130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7580290Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-07-24T04:20:35.7580330Z     
2025-07-24T04:20:35.7580520Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-07-24T04:20:35.7580600Z             :meth:`set_state_dict_type` for the detail.
2025-07-24T04:20:35.7580640Z     
2025-07-24T04:20:35.7580690Z             Example::
2025-07-24T04:20:35.7580730Z     
2025-07-24T04:20:35.7580810Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7580880Z                 >>> model = DDP(FSDP(...))
2025-07-24T04:20:35.7580950Z                 >>> with FSDP.state_dict_type(
2025-07-24T04:20:35.7580990Z                 >>>     model,
2025-07-24T04:20:35.7581070Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-07-24T04:20:35.7581120Z                 >>> ):
2025-07-24T04:20:35.7581190Z                 >>>     checkpoint = model.state_dict()
2025-07-24T04:20:35.7581240Z     
2025-07-24T04:20:35.7581280Z             Args:
2025-07-24T04:20:35.7581350Z                 module (torch.nn.Module): Root module.
2025-07-24T04:20:35.7581500Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-07-24T04:20:35.7581640Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-07-24T04:20:35.7581740Z                     configuration for the target ``state_dict_type``.
2025-07-24T04:20:35.7581890Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-07-24T04:20:35.7582010Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-07-24T04:20:35.7582050Z             
2025-07-24T04:20:35.7582210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7582250Z     
2025-07-24T04:20:35.7582300Z       warnings.warn(msg)
2025-07-24T04:20:35.7582340Z     
2025-07-24T04:20:35.7582440Z --- Parse Warning: 78 / 136 ---
2025-07-24T04:20:35.7583250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1808.
2025-07-24T04:20:35.7583400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7583470Z     
2025-07-24T04:20:35.7583610Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-07-24T04:20:35.7583650Z     
2025-07-24T04:20:35.7583770Z     The given state-dict can be transformed to one of three types:
2025-07-24T04:20:35.7583950Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-07-24T04:20:35.7584000Z     
2025-07-24T04:20:35.7584140Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-07-24T04:20:35.7584300Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-07-24T04:20:35.7584340Z     avoid OOM.
2025-07-24T04:20:35.7584380Z     
2025-07-24T04:20:35.7584550Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-07-24T04:20:35.7584700Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-07-24T04:20:35.7584740Z     memory.
2025-07-24T04:20:35.7584790Z     
2025-07-24T04:20:35.7584920Z     For local state_dict, no transformation will be performed. But a state
2025-07-24T04:20:35.7585060Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-07-24T04:20:35.7585130Z     nature (this is not supported yet).
2025-07-24T04:20:35.7585170Z     
2025-07-24T04:20:35.7585210Z     Example::
2025-07-24T04:20:35.7585250Z     
2025-07-24T04:20:35.7585330Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7585480Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:35.7585580Z         >>> from torch.distributed.fsdp import StateDictType
2025-07-24T04:20:35.7585690Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-07-24T04:20:35.7585820Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-07-24T04:20:35.7585870Z         >>> # Save a checkpoint
2025-07-24T04:20:35.7585930Z         >>> model, optim = ...
2025-07-24T04:20:35.7585990Z         >>> FSDP.set_state_dict_type(
2025-07-24T04:20:35.7586030Z         >>>     model,
2025-07-24T04:20:35.7586100Z         >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:35.7586180Z         >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7586270Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7586310Z         >>> )
2025-07-24T04:20:35.7586380Z         >>> state_dict = model.state_dict()
2025-07-24T04:20:35.7586480Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-07-24T04:20:35.7586570Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-07-24T04:20:35.7586630Z         >>> # Load a checkpoint
2025-07-24T04:20:35.7586680Z         >>> model, optim = ...
2025-07-24T04:20:35.7586770Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-07-24T04:20:35.7586830Z         >>> FSDP.set_state_dict_type(
2025-07-24T04:20:35.7586880Z         >>>     model,
2025-07-24T04:20:35.7586950Z         >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:35.7587030Z         >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7587120Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7587160Z         >>> )
2025-07-24T04:20:35.7587230Z         >>> model.load_state_dict(state_dict)
2025-07-24T04:20:35.7587320Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:35.7587380Z         >>>     model, optim, optim_state_dict
2025-07-24T04:20:35.7587430Z         >>> )
2025-07-24T04:20:35.7587500Z         >>> optim.load_state_dict(optim_state_dict)
2025-07-24T04:20:35.7587540Z     
2025-07-24T04:20:35.7587580Z     Args:
2025-07-24T04:20:35.7587710Z         model (torch.nn.Module): Root module (which may or may not be a
2025-07-24T04:20:35.7587830Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-07-24T04:20:35.7587910Z             were passed into the optimizer ``optim``.
2025-07-24T04:20:35.7588020Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-07-24T04:20:35.7588100Z             parameters.
2025-07-24T04:20:35.7588230Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-07-24T04:20:35.7588350Z             transform. If the value is None, optim.state_dict() will be used. (
2025-07-24T04:20:35.7588410Z             Default: ``None``)
2025-07-24T04:20:35.7588550Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-07-24T04:20:35.7588690Z             are sharded or ``None`` if using the default process group. (
2025-07-24T04:20:35.7588740Z             Default: ``None``)
2025-07-24T04:20:35.7588780Z     
2025-07-24T04:20:35.7588820Z     Returns:
2025-07-24T04:20:35.7588960Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-07-24T04:20:35.7589070Z         ``model``. The sharding of the optimizer state is based on
2025-07-24T04:20:35.7589150Z         ``state_dict_type``.
2025-07-24T04:20:35.7589190Z     
2025-07-24T04:20:35.7589350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7589390Z     
2025-07-24T04:20:35.7589440Z       warnings.warn(msg)
2025-07-24T04:20:35.7589480Z     
2025-07-24T04:20:35.7589580Z --- Parse Warning: 79 / 136 ---
2025-07-24T04:20:35.7590410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1906.
2025-07-24T04:20:35.7590560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7590610Z     
2025-07-24T04:20:35.7590820Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-07-24T04:20:35.7590860Z     
2025-07-24T04:20:35.7590970Z     Given a ``optim_state_dict`` that is transformed through
2025-07-24T04:20:35.7591100Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-07-24T04:20:35.7591230Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-07-24T04:20:35.7591340Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-07-24T04:20:35.7591390Z     
2025-07-24T04:20:35.7591460Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7591610Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:35.7594290Z         >>> from torch.distributed.fsdp import StateDictType
2025-07-24T04:20:35.7594420Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-07-24T04:20:35.7594540Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-07-24T04:20:35.7594590Z         >>> # Save a checkpoint
2025-07-24T04:20:35.7594650Z         >>> model, optim = ...
2025-07-24T04:20:35.7594710Z         >>> FSDP.set_state_dict_type(
2025-07-24T04:20:35.7594760Z         >>>     model,
2025-07-24T04:20:35.7594830Z         >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:35.7594910Z         >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7595000Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7595040Z         >>> )
2025-07-24T04:20:35.7595100Z         >>> state_dict = model.state_dict()
2025-07-24T04:20:35.7595170Z         >>> original_osd = optim.state_dict()
2025-07-24T04:20:35.7595250Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-07-24T04:20:35.7595300Z         >>>     model,
2025-07-24T04:20:35.7595340Z         >>>     optim,
2025-07-24T04:20:35.7595410Z         >>>     optim_state_dict=original_osd
2025-07-24T04:20:35.7595450Z         >>> )
2025-07-24T04:20:35.7595540Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-07-24T04:20:35.7595590Z         >>> # Load a checkpoint
2025-07-24T04:20:35.7595690Z         >>> model, optim = ...
2025-07-24T04:20:35.7595780Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-07-24T04:20:35.7595850Z         >>> FSDP.set_state_dict_type(
2025-07-24T04:20:35.7595890Z         >>>     model,
2025-07-24T04:20:35.7595960Z         >>>     StateDictType.FULL_STATE_DICT,
2025-07-24T04:20:35.7596040Z         >>>     FullStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7596130Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-07-24T04:20:35.7596190Z         >>> )
2025-07-24T04:20:35.7596250Z         >>> model.load_state_dict(state_dict)
2025-07-24T04:20:35.7596350Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-07-24T04:20:35.7596440Z         >>>     model, optim, optim_state_dict
2025-07-24T04:20:35.7596480Z         >>> )
2025-07-24T04:20:35.7596560Z         >>> optim.load_state_dict(optim_state_dict)
2025-07-24T04:20:35.7596600Z     
2025-07-24T04:20:35.7596660Z     Args:
2025-07-24T04:20:35.7596790Z         model (torch.nn.Module): Root module (which may or may not be a
2025-07-24T04:20:35.7596910Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-07-24T04:20:35.7596990Z             were passed into the optimizer ``optim``.
2025-07-24T04:20:35.7597100Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-07-24T04:20:35.7597150Z             parameters.
2025-07-24T04:20:35.7597290Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-07-24T04:20:35.7597410Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-07-24T04:20:35.7597520Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-07-24T04:20:35.7597640Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-07-24T04:20:35.7597750Z         load_directly (bool): If this is set to True, this API will also
2025-07-24T04:20:35.7597880Z             call optim.load_state_dict(result) before returning the result.
2025-07-24T04:20:35.7598010Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-07-24T04:20:35.7598070Z             (Default: ``False``)
2025-07-24T04:20:35.7598210Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-07-24T04:20:35.7598330Z             are sharded or ``None`` if using the default process group. (
2025-07-24T04:20:35.7598380Z             Default: ``None``)
2025-07-24T04:20:35.7598420Z     
2025-07-24T04:20:35.7598570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7598610Z     
2025-07-24T04:20:35.7598660Z       warnings.warn(msg)
2025-07-24T04:20:35.7598700Z     
2025-07-24T04:20:35.7598820Z --- Parse Warning: 80 / 136 ---
2025-07-24T04:20:35.7599500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-07-24T04:20:35.7599660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7599700Z     
2025-07-24T04:20:35.7599800Z     This configures FSDP-native mixed precision training.
2025-07-24T04:20:35.7599840Z     
2025-07-24T04:20:35.7599880Z     Attributes:
2025-07-24T04:20:35.7600020Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-07-24T04:20:35.7600150Z             parameters during forward and backward and thus the dtype for
2025-07-24T04:20:35.7600280Z             forward and backward computation. Outside forward and backward, the
2025-07-24T04:20:35.7600400Z             *sharded* parameters are kept in full precision (e.g. for the
2025-07-24T04:20:35.7600520Z             optimizer step), and for model checkpointing, the parameters are
2025-07-24T04:20:35.7600620Z             always saved in full precision. (Default: ``None``)
2025-07-24T04:20:35.7600790Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-07-24T04:20:35.7600920Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-07-24T04:20:35.7601030Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-07-24T04:20:35.7601150Z             the ``param_dtype`` value, still running gradient reduction in low
2025-07-24T04:20:35.7601280Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-07-24T04:20:35.7601490Z             to force gradient reduction to run in full precision. (Default:
2025-07-24T04:20:35.7601540Z             ``None``)
2025-07-24T04:20:35.7601690Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-07-24T04:20:35.7601810Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-07-24T04:20:35.7601950Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-07-24T04:20:35.7602080Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-07-24T04:20:35.7602200Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-07-24T04:20:35.7602240Z             ``None``)
2025-07-24T04:20:35.7602360Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-07-24T04:20:35.7602490Z             gradients to full precision after the backward pass in preparation
2025-07-24T04:20:35.7602620Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-07-24T04:20:35.7602740Z             in the dtype used for gradient reduction, which can save memory if
2025-07-24T04:20:35.7602860Z             using a custom optimizer that supports running in low precision.
2025-07-24T04:20:35.7602930Z             (Default: ``False``)
2025-07-24T04:20:35.7603050Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-07-24T04:20:35.7603180Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-07-24T04:20:35.7603300Z             that parameter and input dtypes match for forward computation, as
2025-07-24T04:20:35.7603430Z             required by many ops. This may need to be set to ``True`` when only
2025-07-24T04:20:35.7603560Z             applying mixed precision to some but not all FSDP modules, in which
2025-07-24T04:20:35.7603690Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-07-24T04:20:35.7603750Z             (Default: ``False``)
2025-07-24T04:20:35.7603880Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-07-24T04:20:35.7604000Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-07-24T04:20:35.7604120Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-07-24T04:20:35.7604210Z             this does not do anything. (Default: ``True``)
2025-07-24T04:20:35.7604340Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-07-24T04:20:35.7604460Z             module classes to ignore for mixed precision when using an
2025-07-24T04:20:35.7604560Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-07-24T04:20:35.7604690Z             applied to them separately with mixed precision disabled (meaning
2025-07-24T04:20:35.7604820Z             that the final FSDP construction would deviate from the specified
2025-07-24T04:20:35.7604930Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-07-24T04:20:35.7605050Z             not do anything. This API is experimental and subject to change.
2025-07-24T04:20:35.7605120Z             (Default: ``(_BatchNorm,)``)
2025-07-24T04:20:35.7605160Z     
2025-07-24T04:20:35.7605260Z     .. note:: This API is experimental and subject to change.
2025-07-24T04:20:35.7605300Z     
2025-07-24T04:20:35.7605440Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-07-24T04:20:35.7605480Z     
2025-07-24T04:20:35.7605590Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-07-24T04:20:35.7605670Z         precision, but buffers are not.
2025-07-24T04:20:35.7605710Z     
2025-07-24T04:20:35.7605840Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-07-24T04:20:35.7605970Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-07-24T04:20:35.7606110Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-07-24T04:20:35.7606250Z         the affine parameters are kept in ``float32``. However, this incurs
2025-07-24T04:20:35.7606400Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-07-24T04:20:35.7606550Z         may be inefficient, so if the workload permits, the user should prefer
2025-07-24T04:20:35.7606650Z         to still apply mixed precision to those modules.
2025-07-24T04:20:35.7606690Z     
2025-07-24T04:20:35.7606830Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-07-24T04:20:35.7606960Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-07-24T04:20:35.7607100Z         modules will have FSDP applied to them separately with mixed precision
2025-07-24T04:20:35.7607200Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-07-24T04:20:35.7607250Z     
2025-07-24T04:20:35.7607370Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-07-24T04:20:35.7607500Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-07-24T04:20:35.7607610Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-07-24T04:20:35.7607720Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-07-24T04:20:35.7607850Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-07-24T04:20:35.7607990Z         sufficient for the typical case where each FSDP instance has the same
2025-07-24T04:20:35.7608130Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-07-24T04:20:35.7608240Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-07-24T04:20:35.7608280Z     
2025-07-24T04:20:35.7608400Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-07-24T04:20:35.7608550Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-07-24T04:20:35.7608670Z         values to configure casting inputs or not before each instance's
2025-07-24T04:20:35.7608800Z         forward. In such a case, since the casts happen before each FSDP
2025-07-24T04:20:35.7608920Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-07-24T04:20:35.7609070Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-07-24T04:20:35.7609190Z         being changed due to a different ``MixedPrecision`` configuration.
2025-07-24T04:20:35.7609240Z     
2025-07-24T04:20:35.7609280Z         Example::
2025-07-24T04:20:35.7609330Z     
2025-07-24T04:20:35.7609410Z             >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7609520Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-07-24T04:20:35.7609570Z             >>> model[1] = FSDP(
2025-07-24T04:20:35.7609620Z             >>>     model[1],
2025-07-24T04:20:35.7609800Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-07-24T04:20:35.7609850Z             >>> )
2025-07-24T04:20:35.7609900Z             >>> model = FSDP(
2025-07-24T04:20:35.7609950Z             >>>     model,
2025-07-24T04:20:35.7610130Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-07-24T04:20:35.7610170Z             >>> )
2025-07-24T04:20:35.7610220Z     
2025-07-24T04:20:35.7610350Z         The above shows a working example. On the other hand, if ``model[1]``
2025-07-24T04:20:35.7610470Z         were replaced with ``model[0]``, meaning that the submodule using
2025-07-24T04:20:35.7610630Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-07-24T04:20:35.7610760Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-07-24T04:20:35.7610810Z         ones.
2025-07-24T04:20:35.7610850Z     
2025-07-24T04:20:35.7610890Z     
2025-07-24T04:20:35.7611040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7611080Z     
2025-07-24T04:20:35.7611150Z       warnings.warn(msg)
2025-07-24T04:20:35.7611190Z     
2025-07-24T04:20:35.7611290Z --- Parse Warning: 81 / 136 ---
2025-07-24T04:20:35.7612040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-07-24T04:20:35.7612200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7612240Z     
2025-07-24T04:20:35.7612360Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-07-24T04:20:35.7612490Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-07-24T04:20:35.7612610Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-07-24T04:20:35.7612740Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-07-24T04:20:35.7612870Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-07-24T04:20:35.7612910Z     follows:
2025-07-24T04:20:35.7612950Z     
2025-07-24T04:20:35.7613030Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7613170Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-07-24T04:20:35.7613260Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-07-24T04:20:35.7613380Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-07-24T04:20:35.7613510Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-07-24T04:20:35.7613580Z         >>>     state = fsdp.state_dict()
2025-07-24T04:20:35.7613710Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-07-24T04:20:35.7613850Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-07-24T04:20:35.7613990Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-07-24T04:20:35.7614050Z         >>> if dist.get_rank() == 0:
2025-07-24T04:20:35.7614160Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-07-24T04:20:35.7614250Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-07-24T04:20:35.7614330Z         >>>     model.load_state_dict(state_dict)
2025-07-24T04:20:35.7614470Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-07-24T04:20:35.7614620Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-07-24T04:20:35.7614670Z         >>> fsdp = FSDP(
2025-07-24T04:20:35.7614710Z         ...     model,
2025-07-24T04:20:35.7614800Z         ...     device_id=torch.cuda.current_device(),
2025-07-24T04:20:35.7614850Z         ...     auto_wrap_policy=...,
2025-07-24T04:20:35.7614910Z         ...     sync_module_states=True,
2025-07-24T04:20:35.7614960Z         ... )
2025-07-24T04:20:35.7615080Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-07-24T04:20:35.7615130Z     
2025-07-24T04:20:35.7615170Z     Attributes:
2025-07-24T04:20:35.7615290Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-07-24T04:20:35.7615410Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-07-24T04:20:35.7615510Z             ranks save the full state dict. (Default: ``False``)
2025-07-24T04:20:35.7615550Z     
2025-07-24T04:20:35.7615730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7615770Z     
2025-07-24T04:20:35.7615820Z       warnings.warn(msg)
2025-07-24T04:20:35.7615860Z     
2025-07-24T04:20:35.7615960Z --- Parse Warning: 82 / 136 ---
2025-07-24T04:20:35.7616700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-07-24T04:20:35.7616890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7616940Z     
2025-07-24T04:20:35.7617080Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-07-24T04:20:35.7617190Z     Needs to be called on all ranks in an SPMD fashion.
2025-07-24T04:20:35.7617230Z     
2025-07-24T04:20:35.7617280Z     Args:
2025-07-24T04:20:35.7617440Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-07-24T04:20:35.7617550Z             of shards that represent the local shards on this rank.
2025-07-24T04:20:35.7617690Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-07-24T04:20:35.7617760Z             shape of the overall sharded tensor.
2025-07-24T04:20:35.7617800Z     
2025-07-24T04:20:35.7617850Z     Keyword args:
2025-07-24T04:20:35.7618010Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-07-24T04:20:35.7618080Z             the default process group will be used.
2025-07-24T04:20:35.7618190Z         init_rrefs (bool, optional): Whether or not to initialize
2025-07-24T04:20:35.7618320Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-07-24T04:20:35.7618440Z             Need to initialize the RPC Framework if specified as ``True``.
2025-07-24T04:20:35.7618500Z             Default: ``False``.
2025-07-24T04:20:35.7618540Z     
2025-07-24T04:20:35.7618580Z     Returns:
2025-07-24T04:20:35.7618670Z         A :class:`ShardedTensor` object handle on this rank
2025-07-24T04:20:35.7618710Z     
2025-07-24T04:20:35.7618750Z     
2025-07-24T04:20:35.7618800Z     Examples:
2025-07-24T04:20:35.7618950Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-07-24T04:20:35.7619070Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-07-24T04:20:35.7619110Z     
2025-07-24T04:20:35.7619150Z         on rank 0:
2025-07-24T04:20:35.7619230Z         >>> # xdoctest: +SKIP("not distributed")
2025-07-24T04:20:35.7619300Z         >>> local_shard_metadata = ShardMetadata(
2025-07-24T04:20:35.7619360Z         >>>     shard_offsets=[0, 0],
2025-07-24T04:20:35.7619410Z         >>>     shard_lengths=[5, 5],
2025-07-24T04:20:35.7619480Z         >>>     placement="rank:0/cuda:0"
2025-07-24T04:20:35.7619520Z         >>> )
2025-07-24T04:20:35.7619640Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-07-24T04:20:35.7619760Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-07-24T04:20:35.7619800Z     
2025-07-24T04:20:35.7619850Z         on rank 1:
2025-07-24T04:20:35.7619920Z         >>> # xdoctest: +SKIP("not distributed")
2025-07-24T04:20:35.7619990Z         >>> local_shard_metadata = ShardMetadata(
2025-07-24T04:20:35.7620050Z         >>>     shard_offsets=[5, 0],
2025-07-24T04:20:35.7620100Z         >>>     shard_lengths=[5, 5],
2025-07-24T04:20:35.7620160Z         >>>     placement="rank:1/cuda:1"
2025-07-24T04:20:35.7620210Z         >>> )
2025-07-24T04:20:35.7620320Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-07-24T04:20:35.7620440Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-07-24T04:20:35.7620480Z     
2025-07-24T04:20:35.7620630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7620710Z     
2025-07-24T04:20:35.7620760Z       warnings.warn(msg)
2025-07-24T04:20:35.7620800Z     
2025-07-24T04:20:35.7620900Z --- Parse Warning: 83 / 136 ---
2025-07-24T04:20:35.7621660Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-07-24T04:20:35.7621850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7621910Z     
2025-07-24T04:20:35.7622070Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-07-24T04:20:35.7622150Z     size and sharding spec on each rank.
2025-07-24T04:20:35.7622190Z     
2025-07-24T04:20:35.7622240Z     Args:
2025-07-24T04:20:35.7622370Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-07-24T04:20:35.7622530Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-07-24T04:20:35.7622640Z             The specification describing how to shard the Tensor.
2025-07-24T04:20:35.7622740Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-07-24T04:20:35.7622890Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-07-24T04:20:35.7622950Z             Default: None
2025-07-24T04:20:35.7623050Z         init_rrefs (bool, optional): Whether or not to initialize
2025-07-24T04:20:35.7623180Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-07-24T04:20:35.7623300Z             Need to initialize the RPC Framework if specified as ``True``.
2025-07-24T04:20:35.7623350Z             Default: ``False``.
2025-07-24T04:20:35.7623390Z     
2025-07-24T04:20:35.7623430Z     Returns:
2025-07-24T04:20:35.7623580Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-07-24T04:20:35.7623650Z             tensor stored in the current rank.
2025-07-24T04:20:35.7623700Z     
2025-07-24T04:20:35.7623740Z     Examples:
2025-07-24T04:20:35.7623800Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7623880Z         >>> # All tensors below are of torch.int64 type.
2025-07-24T04:20:35.7623950Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7624060Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-07-24T04:20:35.7624180Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-07-24T04:20:35.7624230Z         >>> local_tensor
2025-07-24T04:20:35.7624290Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-07-24T04:20:35.7624340Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-07-24T04:20:35.7624400Z         >>> sharding_dim = 0
2025-07-24T04:20:35.7624470Z         >>> sharding_spec = ChunkShardingSpec(
2025-07-24T04:20:35.7624530Z                 dim=sharding_dim,
2025-07-24T04:20:35.7624580Z                 placements=[
2025-07-24T04:20:35.7624630Z                     "rank:0/cuda:0",
2025-07-24T04:20:35.7624690Z                     "rank:1/cuda:1",
2025-07-24T04:20:35.7624730Z                 ],
2025-07-24T04:20:35.7624770Z             )
2025-07-24T04:20:35.7624850Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-07-24T04:20:35.7624930Z         ...     local_tensor, sharding_spec, [2, 4]
2025-07-24T04:20:35.7624970Z         ... )
2025-07-24T04:20:35.7625010Z         >>> st
2025-07-24T04:20:35.7625060Z         ShardedTensor(
2025-07-24T04:20:35.7625120Z             ShardedTensorMetadata(
2025-07-24T04:20:35.7625180Z                 shards_metadata=[
2025-07-24T04:20:35.7625340Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-07-24T04:20:35.7625500Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-07-24T04:20:35.7625570Z                 ],
2025-07-24T04:20:35.7625630Z                 size=torch.Size([2, 4])
2025-07-24T04:20:35.7625670Z         )
2025-07-24T04:20:35.7625720Z         >>> st.local_tensor()
2025-07-24T04:20:35.7625780Z         tensor([1, 2, 3, 4]) # Rank 0
2025-07-24T04:20:35.7625830Z         tensor([3, 4, 5, 6]) # Rank 1
2025-07-24T04:20:35.7625870Z     
2025-07-24T04:20:35.7626030Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-07-24T04:20:35.7626200Z              rank validations, and we only validate the local shard on the current rank.
2025-07-24T04:20:35.7626330Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-07-24T04:20:35.7626420Z              sharding spec.
2025-07-24T04:20:35.7626460Z     
2025-07-24T04:20:35.7626610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7626670Z     
2025-07-24T04:20:35.7626720Z       warnings.warn(msg)
2025-07-24T04:20:35.7626760Z     
2025-07-24T04:20:35.7626860Z --- Parse Warning: 84 / 136 ---
2025-07-24T04:20:35.7627600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-07-24T04:20:35.7627760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7627800Z     
2025-07-24T04:20:35.7627950Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-07-24T04:20:35.7628000Z     single local shard.
2025-07-24T04:20:35.7628040Z     
2025-07-24T04:20:35.7628180Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-07-24T04:20:35.7628330Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-07-24T04:20:35.7628390Z     we swap local shards directly.
2025-07-24T04:20:35.7628550Z     For more generic cases, we merge different shards across different ranks and split
2025-07-24T04:20:35.7628700Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-07-24T04:20:35.7628740Z     
2025-07-24T04:20:35.7628780Z     Args:
2025-07-24T04:20:35.7628960Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-07-24T04:20:35.7629060Z             specification describing how the tensor is sharded.
2025-07-24T04:20:35.7629100Z     
2025-07-24T04:20:35.7629150Z     Returns:
2025-07-24T04:20:35.7629270Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-07-24T04:20:35.7629310Z     
2025-07-24T04:20:35.7629350Z     Examples:
2025-07-24T04:20:35.7629410Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7629480Z         >>> # We have 2 process groups, 2 ranks.
2025-07-24T04:20:35.7629590Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-07-24T04:20:35.7629660Z         >>> tensor = torch.stack([tensor, tensor])
2025-07-24T04:20:35.7629700Z         >>> tensor
2025-07-24T04:20:35.7629780Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-07-24T04:20:35.7629850Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-07-24T04:20:35.7629920Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-07-24T04:20:35.7629990Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-07-24T04:20:35.7630050Z         >>> sharding_dim = 0
2025-07-24T04:20:35.7630110Z         >>> spec = ChunkShardingSpec(
2025-07-24T04:20:35.7630170Z                 dim=sharding_dim,
2025-07-24T04:20:35.7630220Z                 placements=[
2025-07-24T04:20:35.7630270Z                     "rank:0/cuda:0",
2025-07-24T04:20:35.7630320Z                     "rank:1/cuda:1",
2025-07-24T04:20:35.7630380Z                     "rank:2/cuda:2",
2025-07-24T04:20:35.7630430Z                     "rank:3/cuda:3",
2025-07-24T04:20:35.7630490Z                 ],
2025-07-24T04:20:35.7630540Z             )
2025-07-24T04:20:35.7630590Z         >>> current_offsets = [0] * 2
2025-07-24T04:20:35.7630650Z         >>> current_offsets[0] = rank * 2
2025-07-24T04:20:35.7630720Z         >>> shard_metadata = ShardMetadata(
2025-07-24T04:20:35.7630810Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-07-24T04:20:35.7630870Z                 shard_sizes=tensor.size(),
2025-07-24T04:20:35.7630970Z                 placement=spec.placements[rank],
2025-07-24T04:20:35.7631010Z             )
2025-07-24T04:20:35.7631060Z         >>> local_shards = [
2025-07-24T04:20:35.7631110Z                 Shard(
2025-07-24T04:20:35.7631180Z                     tensor=tensor,
2025-07-24T04:20:35.7631250Z                     metadata=shard_metadata,
2025-07-24T04:20:35.7631290Z                 )
2025-07-24T04:20:35.7631330Z             ]
2025-07-24T04:20:35.7631500Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-07-24T04:20:35.7631560Z         >>> sharding_dim = 1
2025-07-24T04:20:35.7631630Z         >>> resharding_spec = ChunkShardingSpec(
2025-07-24T04:20:35.7631690Z                 dim=sharding_dim,
2025-07-24T04:20:35.7631740Z                 placements=[
2025-07-24T04:20:35.7631790Z                     "rank:0/cuda:0",
2025-07-24T04:20:35.7631840Z                     "rank:1/cuda:1",
2025-07-24T04:20:35.7631900Z                     "rank:2/cuda:2",
2025-07-24T04:20:35.7631950Z                     "rank:3/cuda:3",
2025-07-24T04:20:35.7631990Z                 ],
2025-07-24T04:20:35.7632030Z             )
2025-07-24T04:20:35.7632090Z         >>> st.reshard(resharding_spec)
2025-07-24T04:20:35.7632160Z         >>> tensor = st.local_shards()[0].tensor
2025-07-24T04:20:35.7632200Z         >>> tensor
2025-07-24T04:20:35.7632290Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-07-24T04:20:35.7632380Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-07-24T04:20:35.7632470Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-07-24T04:20:35.7632550Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-07-24T04:20:35.7632600Z     
2025-07-24T04:20:35.7632750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7632790Z     
2025-07-24T04:20:35.7632840Z       warnings.warn(msg)
2025-07-24T04:20:35.7632880Z     
2025-07-24T04:20:35.7632980Z --- Parse Warning: 85 / 136 ---
2025-07-24T04:20:35.7633690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-07-24T04:20:35.7633850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7633890Z     
2025-07-24T04:20:35.7634020Z     Representation of a sharding plan, describes how to shard a module
2025-07-24T04:20:35.7634190Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-07-24T04:20:35.7634360Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-07-24T04:20:35.7634520Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-07-24T04:20:35.7634560Z     
2025-07-24T04:20:35.7634600Z     Args:
2025-07-24T04:20:35.7634770Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-07-24T04:20:35.7634870Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-07-24T04:20:35.7635040Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-07-24T04:20:35.7635190Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-07-24T04:20:35.7635300Z                    a parameter to a `ShardingSpec`.
2025-07-24T04:20:35.7635450Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-07-24T04:20:35.7635510Z                    to a `Sharder` object.
2025-07-24T04:20:35.7635710Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-07-24T04:20:35.7635870Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-07-24T04:20:35.7636030Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-07-24T04:20:35.7636090Z             Default: `None`
2025-07-24T04:20:35.7636260Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-07-24T04:20:35.7636410Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-07-24T04:20:35.7636580Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-07-24T04:20:35.7636630Z             root module).
2025-07-24T04:20:35.7636690Z             Default: None
2025-07-24T04:20:35.7636730Z     Example:
2025-07-24T04:20:35.7636900Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-07-24T04:20:35.7637070Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-07-24T04:20:35.7637110Z     
2025-07-24T04:20:35.7637220Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-07-24T04:20:35.7637280Z         >>> class MyModule(nn.Module):
2025-07-24T04:20:35.7637340Z         >>>     def __init__(self) -> None:
2025-07-24T04:20:35.7637400Z         >>>        super().__init__()
2025-07-24T04:20:35.7637460Z         >>>        self.fc1 = nn.Linear()
2025-07-24T04:20:35.7637520Z         >>>        self.gelu = nn.GELU()
2025-07-24T04:20:35.7637580Z         >>>        self.fc2 = nn.Linear()
2025-07-24T04:20:35.7637640Z         >>>        self.relu = nn.Linear()
2025-07-24T04:20:35.7637680Z         >>>
2025-07-24T04:20:35.7637740Z         >>>     def forward(self, input):
2025-07-24T04:20:35.7637850Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-07-24T04:20:35.7637890Z     
2025-07-24T04:20:35.7637930Z     
2025-07-24T04:20:35.7638010Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-07-24T04:20:35.7638070Z         >>> sharding_plan = ShardingPlan(
2025-07-24T04:20:35.7638120Z         >>>    plan={
2025-07-24T04:20:35.7638170Z         >>>        "fc1.weight": spec1,
2025-07-24T04:20:35.7638230Z         >>>        "fc2.weight": spec2
2025-07-24T04:20:35.7638270Z         >>>    },
2025-07-24T04:20:35.7638320Z         >>>    output_plan={
2025-07-24T04:20:35.7638380Z         >>>        "fc2": output_spec
2025-07-24T04:20:35.7638420Z         >>>    },
2025-07-24T04:20:35.7638490Z         >>>    return_local_tensor=["fc2"]
2025-07-24T04:20:35.7638530Z         >>> )
2025-07-24T04:20:35.7638570Z     
2025-07-24T04:20:35.7638720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7638760Z     
2025-07-24T04:20:35.7638810Z       warnings.warn(msg)
2025-07-24T04:20:35.7638850Z     
2025-07-24T04:20:35.7638950Z --- Parse Warning: 86 / 136 ---
2025-07-24T04:20:35.7639710Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-07-24T04:20:35.7639870Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7639920Z     
2025-07-24T04:20:35.7640090Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-07-24T04:20:35.7640230Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-07-24T04:20:35.7640420Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-07-24T04:20:35.7640570Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-07-24T04:20:35.7640740Z     when users would like to overwrite default sharding strategies of existing operators.
2025-07-24T04:20:35.7640780Z     
2025-07-24T04:20:35.7640820Z     Args:
2025-07-24T04:20:35.7640900Z         op (Union[OpOverload, List[OpOverload]]):
2025-07-24T04:20:35.7641050Z             An op or a list of ops to register the customized sharding function.
2025-07-24T04:20:35.7641090Z     
2025-07-24T04:20:35.7641130Z     Returns:
2025-07-24T04:20:35.7641310Z         A function decorator which can be used to wrap a function that defines the sharding
2025-07-24T04:20:35.7641500Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-07-24T04:20:35.7641670Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-07-24T04:20:35.7641850Z         already implemented the operator. The customized sharding function takes the same inputs
2025-07-24T04:20:35.7642000Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-07-24T04:20:35.7642160Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-07-24T04:20:35.7642320Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-07-24T04:20:35.7642390Z         corresponding input placements.
2025-07-24T04:20:35.7642430Z     
2025-07-24T04:20:35.7642470Z     Example:
2025-07-24T04:20:35.7642540Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7642630Z         >>> @register_sharding(aten._softmax.default)
2025-07-24T04:20:35.7642720Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-07-24T04:20:35.7642810Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-07-24T04:20:35.7642880Z         >>>     acceptable_shardings = []
2025-07-24T04:20:35.7642920Z         >>>
2025-07-24T04:20:35.7643030Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-07-24T04:20:35.7643120Z         >>>     acceptable_shardings.append(all_replicate)
2025-07-24T04:20:35.7643160Z         >>>
2025-07-24T04:20:35.7643230Z         >>>     for sharding_dim in range(x.ndim):
2025-07-24T04:20:35.7643300Z         >>>         if sharding_dim != softmax_dim:
2025-07-24T04:20:35.7643350Z         >>>             all_sharded = (
2025-07-24T04:20:35.7643420Z         >>>                 [Shard(sharding_dim)],
2025-07-24T04:20:35.7643500Z         >>>                 [Shard(sharding_dim), None, None],
2025-07-24T04:20:35.7643550Z         >>>             )
2025-07-24T04:20:35.7643640Z         >>>             acceptable_shardings.append(all_sharded)
2025-07-24T04:20:35.7643680Z         >>>
2025-07-24T04:20:35.7643740Z         >>>     return acceptable_shardings
2025-07-24T04:20:35.7643790Z     
2025-07-24T04:20:35.7643910Z     .. note:: This API is currently experimental and subject to change
2025-07-24T04:20:35.7643950Z     
2025-07-24T04:20:35.7644100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7644140Z     
2025-07-24T04:20:35.7644190Z       warnings.warn(msg)
2025-07-24T04:20:35.7644230Z     
2025-07-24T04:20:35.7644330Z --- Parse Warning: 87 / 136 ---
2025-07-24T04:20:35.7645040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-07-24T04:20:35.7645200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7645240Z     
2025-07-24T04:20:35.7645400Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-07-24T04:20:35.7648140Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-07-24T04:20:35.7648310Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-07-24T04:20:35.7648410Z     :class:`DTensor` according to the ``out_placements``.
2025-07-24T04:20:35.7648450Z     
2025-07-24T04:20:35.7648490Z     Args:
2025-07-24T04:20:35.7648620Z         func (Callable): the function to be applied on each local shard of
2025-07-24T04:20:35.7648730Z             :class:`DTensor` s.
2025-07-24T04:20:35.7648870Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-07-24T04:20:35.7649060Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-07-24T04:20:35.7649220Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-07-24T04:20:35.7649380Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-07-24T04:20:35.7649530Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-07-24T04:20:35.7649600Z             mapping to the flattened ``output``.
2025-07-24T04:20:35.7649730Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-07-24T04:20:35.7649900Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-07-24T04:20:35.7649950Z             should be `None`.
2025-07-24T04:20:35.7650100Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-07-24T04:20:35.7650240Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-07-24T04:20:35.7650390Z             should ignore the desired placements because the function is not running with
2025-07-24T04:20:35.7650440Z             :class:`DTensor` s.
2025-07-24T04:20:35.7650540Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-07-24T04:20:35.7650710Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-07-24T04:20:35.7650860Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-07-24T04:20:35.7651000Z             placements of each :class:`DTensor` argument is the same as the required
2025-07-24T04:20:35.7651110Z             placements or not. If the placements are not the same and
2025-07-24T04:20:35.7651260Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-07-24T04:20:35.7651410Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-07-24T04:20:35.7651570Z             the required sharding placements before passing its local tensor to ``func``.
2025-07-24T04:20:35.7651700Z             The only exception is when required placements are not ``None`` and the
2025-07-24T04:20:35.7651850Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-07-24T04:20:35.7651990Z             will be skipped and the argument will be directly passed to ``func``.
2025-07-24T04:20:35.7652120Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-07-24T04:20:35.7652180Z             Default: None
2025-07-24T04:20:35.7652290Z         in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-07-24T04:20:35.7652420Z             the placements hint of the :class:`DTensor` s gradient corresponds
2025-07-24T04:20:35.7652550Z             to the flattened input DTensor. This argument is the hint that user
2025-07-24T04:20:35.7652670Z             can give to :meth:`to_local` in case the gradient layout of the
2025-07-24T04:20:35.7652800Z             local tensor input does not match its :class:`DTensor` input layout.
2025-07-24T04:20:35.7652920Z             If not specified, we will assume the gradient layout of the local
2025-07-24T04:20:35.7653050Z             tensor input remains the same as the original :class:`DTensor` input
2025-07-24T04:20:35.7653180Z             and use that for gradient computation. Default: None.
2025-07-24T04:20:35.7653260Z         device_mesh (:class:`DeviceMesh`, optional):
2025-07-24T04:20:35.7653400Z             the device mesh that the output :class:`DTensor` s are placed on. If not
2025-07-24T04:20:35.7653550Z             specified, this will be inferred from the first input :class:`DTensor`'s device
2025-07-24T04:20:35.7653630Z             mesh. Default: None.
2025-07-24T04:20:35.7653670Z     
2025-07-24T04:20:35.7653720Z     Keyword Args:
2025-07-24T04:20:35.7653790Z         redistribute_inputs (bool, optional):
2025-07-24T04:20:35.7653970Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-07-24T04:20:35.7654120Z             their placements are different from the required input placements. If this
2025-07-24T04:20:35.7654280Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-07-24T04:20:35.7654370Z             an exception will be raised. Default: False.
2025-07-24T04:20:35.7654410Z     
2025-07-24T04:20:35.7654460Z     Returns:
2025-07-24T04:20:35.7654610Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-07-24T04:20:35.7654760Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-07-24T04:20:35.7654800Z     
2025-07-24T04:20:35.7654840Z     Raises:
2025-07-24T04:20:35.7654990Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-07-24T04:20:35.7655150Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-07-24T04:20:35.7655210Z             if this is not the case.
2025-07-24T04:20:35.7655250Z     
2025-07-24T04:20:35.7655410Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-07-24T04:20:35.7655500Z             a redistribution according to ``in_placements``.
2025-07-24T04:20:35.7655540Z     
2025-07-24T04:20:35.7655580Z     Example:
2025-07-24T04:20:35.7655650Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7655740Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-07-24T04:20:35.7655810Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-07-24T04:20:35.7655960Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-07-24T04:20:35.7656020Z         >>>     return reduced_tensor
2025-07-24T04:20:35.7656060Z         >>>
2025-07-24T04:20:35.7656140Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-07-24T04:20:35.7656220Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-07-24T04:20:35.7656270Z         >>> Y = torch.mm(W, X)
2025-07-24T04:20:35.7656390Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-07-24T04:20:35.7656500Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-07-24T04:20:35.7656550Z         >>>
2025-07-24T04:20:35.7656710Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-07-24T04:20:35.7656790Z         >>> local_mm_allreduce_forward = local_map(
2025-07-24T04:20:35.7656850Z         >>>     mm_allreduce_forward,
2025-07-24T04:20:35.7656920Z         >>>     out_placements=[Replicate()],
2025-07-24T04:20:35.7656990Z         >>>     in_placements=[col_wise, row_wise],
2025-07-24T04:20:35.7657050Z         >>>     device_mesh=device_mesh,
2025-07-24T04:20:35.7657090Z         >>> )
2025-07-24T04:20:35.7657130Z         >>>
2025-07-24T04:20:35.7657190Z         >>> W_dt = distribute_tensor(
2025-07-24T04:20:35.7657250Z         ...     W, device_mesh, (col_wise)
2025-07-24T04:20:35.7657310Z         ... )  # col-wisely sharded W tensor
2025-07-24T04:20:35.7657370Z         >>> X_dt = distribute_tensor(
2025-07-24T04:20:35.7657430Z         ...     X, device_mesh, (row_wise)
2025-07-24T04:20:35.7657490Z         ... )  # row-wisely sharded X tensor
2025-07-24T04:20:35.7657580Z         >>> Y_dt = local_mm_allreduce_forward(
2025-07-24T04:20:35.7657640Z         ...     device_mesh, W_dt, X_dt
2025-07-24T04:20:35.7657730Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-07-24T04:20:35.7657770Z     
2025-07-24T04:20:35.7657890Z     .. note:: This API is currently experimental and subject to change
2025-07-24T04:20:35.7657930Z     
2025-07-24T04:20:35.7658090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7658140Z     
2025-07-24T04:20:35.7658200Z       warnings.warn(msg)
2025-07-24T04:20:35.7658230Z     
2025-07-24T04:20:35.7658350Z --- Parse Warning: 88 / 136 ---
2025-07-24T04:20:35.7659120Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-07-24T04:20:35.7659280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7659320Z     
2025-07-24T04:20:35.7659550Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-07-24T04:20:35.7659740Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-07-24T04:20:35.7659790Z     
2025-07-24T04:20:35.7659830Z     Keyword Args:
2025-07-24T04:20:35.7659960Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:35.7660150Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-07-24T04:20:35.7660370Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-07-24T04:20:35.7660440Z             as a placeholder. default: None.
2025-07-24T04:20:35.7660580Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:35.7660810Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:35.7661040Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-07-24T04:20:35.7661120Z         input_kwarg_layouts (Dict[str, Placement]):
2025-07-24T04:20:35.7661340Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-07-24T04:20:35.7661390Z             default: None
2025-07-24T04:20:35.7661490Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-07-24T04:20:35.7661710Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:35.7661800Z             have the desired DTensor layouts. default: None.
2025-07-24T04:20:35.7661870Z         use_local_output (bool, optional):
2025-07-24T04:20:35.7662090Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-07-24T04:20:35.7662130Z     Returns:
2025-07-24T04:20:35.7662320Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-07-24T04:20:35.7662370Z     
2025-07-24T04:20:35.7662410Z     Example::
2025-07-24T04:20:35.7662470Z         >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:35.7662660Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-07-24T04:20:35.7662780Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:35.7662820Z         >>> ...
2025-07-24T04:20:35.7663010Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:35.7663090Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:35.7663170Z         >>>
2025-07-24T04:20:35.7663380Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-07-24T04:20:35.7663460Z         >>> # and then redistributed to Replicated DTensor.
2025-07-24T04:20:35.7663520Z         >>> parallelize_module(
2025-07-24T04:20:35.7663600Z         >>>     block, # this can be a submodule or module
2025-07-24T04:20:35.7663650Z         >>>     tp_mesh,
2025-07-24T04:20:35.7663740Z         >>>     parallelize_plan={
2025-07-24T04:20:35.7663810Z         >>>         "attn": PrepareModuleInput(
2025-07-24T04:20:35.7663900Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-07-24T04:20:35.7664020Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-07-24T04:20:35.7664060Z         >>>         ),
2025-07-24T04:20:35.7664110Z         >>>     }
2025-07-24T04:20:35.7664170Z         >>> )
2025-07-24T04:20:35.7664220Z     
2025-07-24T04:20:35.7664370Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7664410Z     
2025-07-24T04:20:35.7664460Z       warnings.warn(msg)
2025-07-24T04:20:35.7664500Z     
2025-07-24T04:20:35.7664600Z --- Parse Warning: 89 / 136 ---
2025-07-24T04:20:35.7665330Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-07-24T04:20:35.7665490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7665530Z     
2025-07-24T04:20:35.7665760Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-07-24T04:20:35.7665960Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-07-24T04:20:35.7666000Z     
2025-07-24T04:20:35.7666050Z     Keyword Args:
2025-07-24T04:20:35.7666150Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:35.7666350Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-07-24T04:20:35.7666580Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-07-24T04:20:35.7666670Z             ``None`` need to be specified as a placeholder.
2025-07-24T04:20:35.7666790Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:35.7667020Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-07-24T04:20:35.7667090Z             have the desired DTensor layouts.
2025-07-24T04:20:35.7667150Z         use_local_output (bool, optional):
2025-07-24T04:20:35.7667370Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-07-24T04:20:35.7667420Z     Returns:
2025-07-24T04:20:35.7667600Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-07-24T04:20:35.7667640Z     
2025-07-24T04:20:35.7667680Z     Example::
2025-07-24T04:20:35.7667740Z         >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:35.7667930Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-07-24T04:20:35.7668050Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:35.7668090Z         >>> ...
2025-07-24T04:20:35.7668280Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:35.7668360Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:35.7668400Z         >>>
2025-07-24T04:20:35.7668640Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-07-24T04:20:35.7668750Z         >>> # and then redistributed to Sharded DTensor.
2025-07-24T04:20:35.7668800Z         >>> parallelize_module(
2025-07-24T04:20:35.7668900Z         >>>     block, # this can be a submodule or module
2025-07-24T04:20:35.7668950Z         >>>     tp_mesh,
2025-07-24T04:20:35.7669040Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-07-24T04:20:35.7669130Z         >>>         output_layouts=Replicate(),
2025-07-24T04:20:35.7669200Z         >>>         desired_output_layouts=Shard(0)
2025-07-24T04:20:35.7669240Z         >>>     )
2025-07-24T04:20:35.7669280Z         >>> )
2025-07-24T04:20:35.7669350Z     
2025-07-24T04:20:35.7669510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7669550Z     
2025-07-24T04:20:35.7669620Z       warnings.warn(msg)
2025-07-24T04:20:35.7669660Z     
2025-07-24T04:20:35.7669760Z --- Parse Warning: 90 / 136 ---
2025-07-24T04:20:35.7670500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-07-24T04:20:35.7670660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7670700Z     
2025-07-24T04:20:35.7670960Z     Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-07-24T04:20:35.7671210Z     to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-07-24T04:20:35.7671430Z     according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-07-24T04:20:35.7671570Z     :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-07-24T04:20:35.7671610Z     
2025-07-24T04:20:35.7671650Z     Keyword Args:
2025-07-24T04:20:35.7671770Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:35.7671970Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-07-24T04:20:35.7672190Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-07-24T04:20:35.7672260Z             as a placeholder. default: None.
2025-07-24T04:20:35.7672400Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-07-24T04:20:35.7672620Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:35.7672850Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-07-24T04:20:35.7672940Z         input_kwarg_layouts (Dict[str, Placement]):
2025-07-24T04:20:35.7673160Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-07-24T04:20:35.7673210Z             default: None
2025-07-24T04:20:35.7673310Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-07-24T04:20:35.7673520Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-07-24T04:20:35.7673620Z             have the desired DTensor layouts. default: None.
2025-07-24T04:20:35.7673680Z         use_local_input (bool, optional):
2025-07-24T04:20:35.7673900Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-07-24T04:20:35.7674000Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:35.7674200Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-07-24T04:20:35.7674450Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-07-24T04:20:35.7674540Z             ``None`` need to be specified as a placeholder.
2025-07-24T04:20:35.7674660Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-07-24T04:20:35.7674880Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-07-24T04:20:35.7674970Z             have the desired DTensor layouts.
2025-07-24T04:20:35.7675060Z         use_local_output (bool, optional):
2025-07-24T04:20:35.7675270Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-07-24T04:20:35.7675320Z     Returns:
2025-07-24T04:20:35.7675570Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-07-24T04:20:35.7675620Z     
2025-07-24T04:20:35.7675660Z     Example::
2025-07-24T04:20:35.7675720Z         >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:35.7675920Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-07-24T04:20:35.7676040Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-07-24T04:20:35.7676090Z         >>> ...
2025-07-24T04:20:35.7676270Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-07-24T04:20:35.7676350Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-07-24T04:20:35.7676390Z         >>>
2025-07-24T04:20:35.7676590Z         >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-07-24T04:20:35.7676810Z         >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-07-24T04:20:35.7676940Z         >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-07-24T04:20:35.7677000Z         >>> parallelize_module(
2025-07-24T04:20:35.7677080Z         >>>     block, # this can be a submodule or module
2025-07-24T04:20:35.7677130Z         >>>     tp_mesh,
2025-07-24T04:20:35.7677190Z         >>>     parallelize_plan={
2025-07-24T04:20:35.7677270Z         >>>         "attn": PrepareModuleInputOutput(
2025-07-24T04:20:35.7677360Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-07-24T04:20:35.7677460Z         >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-07-24T04:20:35.7677540Z         >>>             output_layouts=Replicate(),
2025-07-24T04:20:35.7677610Z         >>>             desired_output_layouts=Shard(0),
2025-07-24T04:20:35.7677660Z         >>>         ),
2025-07-24T04:20:35.7677700Z         >>>     }
2025-07-24T04:20:35.7677740Z         >>> )
2025-07-24T04:20:35.7677780Z     
2025-07-24T04:20:35.7677930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7677980Z     
2025-07-24T04:20:35.7678030Z       warnings.warn(msg)
2025-07-24T04:20:35.7678070Z     
2025-07-24T04:20:35.7678170Z --- Parse Warning: 91 / 136 ---
2025-07-24T04:20:35.7678840Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-07-24T04:20:35.7679000Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7679040Z     
2025-07-24T04:20:35.7679190Z     A decorator for a function indicating that the return value of the function
2025-07-24T04:20:35.7679320Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-07-24T04:20:35.7679460Z     function can run asynchronously on the RPC callee. More specifically, the
2025-07-24T04:20:35.7679630Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-07-24T04:20:35.7679770Z     function and installs subsequent processing steps as a callback to that
2025-07-24T04:20:35.7679910Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-07-24T04:20:35.7680040Z     from the :class:`~torch.futures.Future` when completed and send the
2025-07-24T04:20:35.7680170Z     value back as the RPC response. That also means the returned
2025-07-24T04:20:35.7680310Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-07-24T04:20:35.7680470Z     sent through RPC. This decorator is useful when the wrapped function's
2025-07-24T04:20:35.7680590Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-07-24T04:20:35.7680740Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-07-24T04:20:35.7680790Z     
2025-07-24T04:20:35.7680920Z     .. note:: To enable asynchronous execution, applications must pass the
2025-07-24T04:20:35.7681060Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-07-24T04:20:35.7681190Z         attributes installed by this decorator, it knows that this function
2025-07-24T04:20:35.7681310Z         returns a ``Future`` object and will handle that accordingly.
2025-07-24T04:20:35.7681440Z         However, this does not mean this decorator has to be outmost one when
2025-07-24T04:20:35.7681580Z         defining a function. For example, when combined with ``@staticmethod``
2025-07-24T04:20:35.7681710Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-07-24T04:20:35.7681840Z         inner decorator to allow the target function be recognized as a static
2025-07-24T04:20:35.7681980Z         or class function. This target function can still execute asynchronously
2025-07-24T04:20:35.7682120Z         because, when accessed, the static or class method preserves attributes
2025-07-24T04:20:35.7682210Z         installed by ``@rpc.functions.async_execution``.
2025-07-24T04:20:35.7682260Z     
2025-07-24T04:20:35.7682300Z     
2025-07-24T04:20:35.7682340Z     Example::
2025-07-24T04:20:35.7682460Z         The returned :class:`~torch.futures.Future` object can come from
2025-07-24T04:20:35.7682540Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-07-24T04:20:35.7682680Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-07-24T04:20:35.7682790Z         constructor. The example below shows directly using the
2025-07-24T04:20:35.7682870Z         :class:`~torch.futures.Future` returned by
2025-07-24T04:20:35.7682940Z         :meth:`~torch.futures.Future.then`.
2025-07-24T04:20:35.7682980Z     
2025-07-24T04:20:35.7683050Z         >>> from torch.distributed import rpc
2025-07-24T04:20:35.7683090Z         >>>
2025-07-24T04:20:35.7683160Z         >>> # omitting setup and shutdown RPC
2025-07-24T04:20:35.7683200Z         >>>
2025-07-24T04:20:35.7683250Z         >>> # On all workers
2025-07-24T04:20:35.7683320Z         >>> @rpc.functions.async_execution
2025-07-24T04:20:35.7683390Z         >>> def async_add_chained(to, x, y, z):
2025-07-24T04:20:35.7683500Z         >>>     # This function runs on "worker1" and returns immediately when
2025-07-24T04:20:35.7683620Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-07-24T04:20:35.7683730Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-07-24T04:20:35.7683840Z         >>>     # When the return value of that `rpc_async` arrives at
2025-07-24T04:20:35.7683950Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-07-24T04:20:35.7684070Z         >>>     # and set the value for the previously returned `Future`, which
2025-07-24T04:20:35.7684180Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-07-24T04:20:35.7684290Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:35.7684390Z         >>>         lambda fut: fut.wait() + z
2025-07-24T04:20:35.7684430Z         >>>     )
2025-07-24T04:20:35.7684470Z         >>>
2025-07-24T04:20:35.7684520Z         >>> # On worker0
2025-07-24T04:20:35.7684570Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7684630Z         >>> ret = rpc.rpc_sync(
2025-07-24T04:20:35.7684680Z         >>>     "worker1",
2025-07-24T04:20:35.7684840Z         >>>     async_add_chained,
2025-07-24T04:20:35.7684920Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-07-24T04:20:35.7684960Z         >>> )
2025-07-24T04:20:35.7685030Z         >>> print(ret)  # prints tensor([3., 3.])
2025-07-24T04:20:35.7685090Z     
2025-07-24T04:20:35.7685230Z         When combined with TorchScript decorators, this decorator must be the
2025-07-24T04:20:35.7685270Z         outmost one.
2025-07-24T04:20:35.7685330Z     
2025-07-24T04:20:35.7685390Z         >>> from torch import Tensor
2025-07-24T04:20:35.7685460Z         >>> from torch.futures import Future
2025-07-24T04:20:35.7685530Z         >>> from torch.distributed import rpc
2025-07-24T04:20:35.7685570Z         >>>
2025-07-24T04:20:35.7685640Z         >>> # omitting setup and shutdown RPC
2025-07-24T04:20:35.7685680Z         >>>
2025-07-24T04:20:35.7685730Z         >>> # On all workers
2025-07-24T04:20:35.7685780Z         >>> @torch.jit.script
2025-07-24T04:20:35.7685870Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-07-24T04:20:35.7685930Z         >>>     return x + y
2025-07-24T04:20:35.7685970Z         >>>
2025-07-24T04:20:35.7686030Z         >>> @rpc.functions.async_execution
2025-07-24T04:20:35.7686090Z         >>> @torch.jit.script
2025-07-24T04:20:35.7686200Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-07-24T04:20:35.7686290Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-07-24T04:20:35.7686330Z         >>>
2025-07-24T04:20:35.7686380Z         >>> # On worker0
2025-07-24T04:20:35.7686440Z         >>> ret = rpc.rpc_sync(
2025-07-24T04:20:35.7686490Z         >>>     "worker1",
2025-07-24T04:20:35.7686530Z         >>>     async_add,
2025-07-24T04:20:35.7686600Z         >>>     args=("worker2", torch.ones(2), 1)
2025-07-24T04:20:35.7686640Z         >>> )
2025-07-24T04:20:35.7686710Z         >>> print(ret)  # prints tensor([2., 2.])
2025-07-24T04:20:35.7686760Z     
2025-07-24T04:20:35.7686890Z         When combined with static or class method, this decorator must be the
2025-07-24T04:20:35.7686930Z         inner one.
2025-07-24T04:20:35.7686970Z     
2025-07-24T04:20:35.7687040Z         >>> from torch.distributed import rpc
2025-07-24T04:20:35.7687080Z         >>>
2025-07-24T04:20:35.7687150Z         >>> # omitting setup and shutdown RPC
2025-07-24T04:20:35.7687190Z         >>>
2025-07-24T04:20:35.7687240Z         >>> # On all workers
2025-07-24T04:20:35.7687300Z         >>> class AsyncExecutionClass:
2025-07-24T04:20:35.7687340Z         >>>
2025-07-24T04:20:35.7687400Z         >>>     @staticmethod
2025-07-24T04:20:35.7687470Z         >>>     @rpc.functions.async_execution
2025-07-24T04:20:35.7687540Z         >>>     def static_async_add(to, x, y, z):
2025-07-24T04:20:35.7687640Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:35.7687710Z         >>>             lambda fut: fut.wait() + z
2025-07-24T04:20:35.7687760Z         >>>         )
2025-07-24T04:20:35.7687800Z         >>>
2025-07-24T04:20:35.7687850Z         >>>     @classmethod
2025-07-24T04:20:35.7687920Z         >>>     @rpc.functions.async_execution
2025-07-24T04:20:35.7687990Z         >>>     def class_async_add(cls, to, x, y, z):
2025-07-24T04:20:35.7688070Z         >>>         ret_fut = torch.futures.Future()
2025-07-24T04:20:35.7688160Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:35.7688260Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-07-24T04:20:35.7688300Z         >>>         )
2025-07-24T04:20:35.7688380Z         >>>         return ret_fut
2025-07-24T04:20:35.7688420Z         >>>
2025-07-24T04:20:35.7688490Z         >>>     @rpc.functions.async_execution
2025-07-24T04:20:35.7688570Z         >>>     def bound_async_add(self, to, x, y, z):
2025-07-24T04:20:35.7688670Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-07-24T04:20:35.7688740Z         >>>             lambda fut: fut.wait() + z
2025-07-24T04:20:35.7688780Z         >>>         )
2025-07-24T04:20:35.7688850Z         >>>
2025-07-24T04:20:35.7688890Z         >>> # On worker0
2025-07-24T04:20:35.7688950Z         >>> ret = rpc.rpc_sync(
2025-07-24T04:20:35.7689000Z         >>>     "worker1",
2025-07-24T04:20:35.7689110Z         >>>     AsyncExecutionClass.static_async_add,
2025-07-24T04:20:35.7689180Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:35.7689220Z         >>> )
2025-07-24T04:20:35.7689310Z         >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:35.7689350Z         >>>
2025-07-24T04:20:35.7689410Z         >>> ret = rpc.rpc_sync(
2025-07-24T04:20:35.7689460Z         >>>     "worker1",
2025-07-24T04:20:35.7689540Z         >>>     AsyncExecutionClass.class_async_add,
2025-07-24T04:20:35.7689610Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:35.7689650Z         >>> )
2025-07-24T04:20:35.7689720Z         >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:35.7689760Z     
2025-07-24T04:20:35.7689860Z         This decorator also works with RRef helpers, i.e., .
2025-07-24T04:20:35.7689950Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-07-24T04:20:35.7690040Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-07-24T04:20:35.7690130Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-07-24T04:20:35.7690170Z     
2025-07-24T04:20:35.7690240Z         >>> from torch.distributed import rpc
2025-07-24T04:20:35.7690280Z         >>>
2025-07-24T04:20:35.7690360Z         >>> # reuse the AsyncExecutionClass class above
2025-07-24T04:20:35.7690460Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:35.7690590Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-07-24T04:20:35.7690660Z         >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:35.7690700Z         >>>
2025-07-24T04:20:35.7690790Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:35.7690930Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-07-24T04:20:35.7691010Z         >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:35.7691050Z         >>>
2025-07-24T04:20:35.7691140Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-07-24T04:20:35.7691280Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-07-24T04:20:35.7691350Z         >>> print(ret)  # prints tensor([4., 4.])
2025-07-24T04:20:35.7691390Z     
2025-07-24T04:20:35.7691540Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7691590Z     
2025-07-24T04:20:35.7691640Z       warnings.warn(msg)
2025-07-24T04:20:35.7691680Z     
2025-07-24T04:20:35.7691780Z --- Parse Warning: 92 / 136 ---
2025-07-24T04:20:35.7692530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-07-24T04:20:35.7692690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7692730Z     
2025-07-24T04:20:35.7692860Z     Set device mapping between each RPC caller and callee pair. This
2025-07-24T04:20:35.7692970Z     function can be called multiple times to incrementally add
2025-07-24T04:20:35.7693040Z     device placement configurations.
2025-07-24T04:20:35.7693100Z     
2025-07-24T04:20:35.7693140Z     Args:
2025-07-24T04:20:35.7693200Z         to (str): Callee name.
2025-07-24T04:20:35.7693320Z         device_map (Dict of int, str, or torch.device): Device placement
2025-07-24T04:20:35.7693430Z             mappings from this worker to the callee. This map must be
2025-07-24T04:20:35.7693480Z             invertible.
2025-07-24T04:20:35.7693520Z     
2025-07-24T04:20:35.7693560Z     Example:
2025-07-24T04:20:35.7693650Z         >>> # xdoctest: +SKIP("distributed")
2025-07-24T04:20:35.7693700Z         >>> # both workers
2025-07-24T04:20:35.7693750Z         >>> def add(x, y):
2025-07-24T04:20:35.7693840Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-07-24T04:20:35.7693920Z         >>>     return x + y, (x + y).to(2)
2025-07-24T04:20:35.7693960Z         >>>
2025-07-24T04:20:35.7694010Z         >>> # on worker 0
2025-07-24T04:20:35.7694120Z         >>> options = TensorPipeRpcBackendOptions(
2025-07-24T04:20:35.7694180Z         >>>     num_worker_threads=8,
2025-07-24T04:20:35.7694250Z         >>>     device_maps={"worker1": {0: 1}}
2025-07-24T04:20:35.7694330Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-07-24T04:20:35.7694370Z         >>> )
2025-07-24T04:20:35.7694450Z         >>> options.set_device_map("worker1", {1: 2})
2025-07-24T04:20:35.7694530Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-07-24T04:20:35.7694570Z         >>>
2025-07-24T04:20:35.7694620Z         >>> rpc.init_rpc(
2025-07-24T04:20:35.7694670Z         >>>     "worker0",
2025-07-24T04:20:35.7694720Z         >>>     rank=0,
2025-07-24T04:20:35.7694770Z         >>>     world_size=2,
2025-07-24T04:20:35.7694850Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-07-24T04:20:35.7694910Z         >>>     rpc_backend_options=options
2025-07-24T04:20:35.7694950Z         >>> )
2025-07-24T04:20:35.7694990Z         >>>
2025-07-24T04:20:35.7695040Z         >>> x = torch.ones(2)
2025-07-24T04:20:35.7695140Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-07-24T04:20:35.7695260Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-07-24T04:20:35.7695370Z         >>> # sending the return value back, it will follow the invert of
2025-07-24T04:20:35.7695480Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-07-24T04:20:35.7695530Z         >>> # cuda:1 on worker0
2025-07-24T04:20:35.7695620Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-07-24T04:20:35.7695710Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-07-24T04:20:35.7695760Z     
2025-07-24T04:20:35.7695910Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7695950Z     
2025-07-24T04:20:35.7696000Z       warnings.warn(msg)
2025-07-24T04:20:35.7696040Z     
2025-07-24T04:20:35.7696140Z --- Parse Warning: 93 / 136 ---
2025-07-24T04:20:35.7696910Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-07-24T04:20:35.7697070Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7697110Z     
2025-07-24T04:20:35.7697240Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-07-24T04:20:35.7697410Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-07-24T04:20:35.7697450Z     
2025-07-24T04:20:35.7697620Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-07-24T04:20:35.7697760Z     Under the hood it just records events of functions being executed in C++ and
2025-07-24T04:20:35.7697900Z     exposes those events to Python. You can wrap any code into it and it will
2025-07-24T04:20:35.7698000Z     only report runtime of PyTorch functions.
2025-07-24T04:20:35.7698160Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-07-24T04:20:35.7698210Z     
2025-07-24T04:20:35.7698250Z     Args:
2025-07-24T04:20:35.7698410Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-07-24T04:20:35.7698460Z             Default: ``True``.
2025-07-24T04:20:35.7698500Z     
2025-07-24T04:20:35.7698690Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-07-24T04:20:35.7698820Z             Adds approximately 4us of overhead to each tensor operation.
2025-07-24T04:20:35.7698890Z             Default: ``False``
2025-07-24T04:20:35.7698930Z     
2025-07-24T04:20:35.7699070Z         record_shapes (bool, optional): If shapes recording is set, information
2025-07-24T04:20:35.7699230Z             about input dimensions will be collected. This allows one to see which
2025-07-24T04:20:35.7699370Z             dimensions have been used under the hood and further group by them
2025-07-24T04:20:35.7699500Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-07-24T04:20:35.7699640Z             shape recording might skew your profiling data. It is recommended to
2025-07-24T04:20:35.7699780Z             use separate runs with and without shape recording to validate the timing.
2025-07-24T04:20:35.7699920Z             Most likely the skew will be negligible for bottom most events (in a case
2025-07-24T04:20:35.7700060Z             of nested function calls). But for higher level functions the total
2025-07-24T04:20:35.7700190Z             self cpu time might be artificially increased because of the shape
2025-07-24T04:20:35.7700240Z             collection.
2025-07-24T04:20:35.7700280Z     
2025-07-24T04:20:35.7700440Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-07-24T04:20:35.7700480Z     
2025-07-24T04:20:35.7700530Z     .. warning::
2025-07-24T04:20:35.7700650Z         Enabling memory profiling incurs additional profiler overhead
2025-07-24T04:20:35.7700690Z     
2025-07-24T04:20:35.7700740Z     .. warning::
2025-07-24T04:20:35.7700910Z         Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-07-24T04:20:35.7701030Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-07-24T04:20:35.7701170Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-07-24T04:20:35.7701280Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-07-24T04:20:35.7701320Z     
2025-07-24T04:20:35.7701360Z     Example:
2025-07-24T04:20:35.7701410Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7701470Z         >>> # On worker 0:
2025-07-24T04:20:35.7704100Z         >>> import torch
2025-07-24T04:20:35.7704190Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7704280Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-07-24T04:20:35.7704360Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-07-24T04:20:35.7704420Z         >>> outer_profile_rref = rpc.remote(
2025-07-24T04:20:35.7704530Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-07-24T04:20:35.7704570Z         ... )
2025-07-24T04:20:35.7704650Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-07-24T04:20:35.7704740Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-07-24T04:20:35.7704810Z         >>> inner_profile_rref = rpc.remote(
2025-07-24T04:20:35.7704910Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-07-24T04:20:35.7704950Z         ... )
2025-07-24T04:20:35.7705030Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-07-24T04:20:35.7705120Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-07-24T04:20:35.7705230Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-07-24T04:20:35.7705330Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-07-24T04:20:35.7705490Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-07-24T04:20:35.7705650Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7705830Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-07-24T04:20:35.7705980Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7706130Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-07-24T04:20:35.7706270Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-07-24T04:20:35.7706440Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7706510Z         Self CPU time total: 89.667us
2025-07-24T04:20:35.7706600Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-07-24T04:20:35.7706740Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7706930Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-07-24T04:20:35.7707070Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7707190Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-07-24T04:20:35.7707300Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-07-24T04:20:35.7707420Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-07-24T04:20:35.7707560Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7707620Z         Self CPU time total: 213.926us
2025-07-24T04:20:35.7707680Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7707720Z     
2025-07-24T04:20:35.7707770Z         >>> # On worker 1:
2025-07-24T04:20:35.7707840Z         >>> import torch.distributed.rpc as rpc
2025-07-24T04:20:35.7707930Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-07-24T04:20:35.7708030Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-07-24T04:20:35.7708080Z         >>> rpc.shutdown()
2025-07-24T04:20:35.7708120Z     
2025-07-24T04:20:35.7708280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7708320Z     
2025-07-24T04:20:35.7708370Z       warnings.warn(msg)
2025-07-24T04:20:35.7708410Z     
2025-07-24T04:20:35.7708520Z --- Parse Warning: 94 / 136 ---
2025-07-24T04:20:35.7709190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-07-24T04:20:35.7709350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7709570Z     Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-07-24T04:20:35.7709690Z         Label will only appear if CPU activity tracing is enabled.
2025-07-24T04:20:35.7709730Z     
2025-07-24T04:20:35.7709810Z         It is useful when tracing the code profile.
2025-07-24T04:20:35.7709850Z     
2025-07-24T04:20:35.7709890Z         Args:
2025-07-24T04:20:35.7709980Z             name (str): Label assigned to the block of code.
2025-07-24T04:20:35.7710100Z             node_id (int): ID of node, for distributed profiling. Unset in
2025-07-24T04:20:35.7710180Z             non-distributed cases.
2025-07-24T04:20:35.7710220Z     
2025-07-24T04:20:35.7710270Z         Example:
2025-07-24T04:20:35.7710380Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-07-24T04:20:35.7710460Z             >>> x = torch.randn((1, 1), requires_grad=True)
2025-07-24T04:20:35.7710560Z             >>> with torch.autograd.profiler.profile() as prof:
2025-07-24T04:20:35.7710610Z             ...     y = x**2
2025-07-24T04:20:35.7710740Z             ...     with torch.autograd.profiler.record_function(
2025-07-24T04:20:35.7710790Z             ...         "label-z"
2025-07-24T04:20:35.7710840Z             ...     ):  # label the block
2025-07-24T04:20:35.7710930Z             ...         z = y**3
2025-07-24T04:20:35.7710980Z             ...     y.backward()
2025-07-24T04:20:35.7711040Z             >>> # xdoctest: +IGNORE_WANT
2025-07-24T04:20:35.7711140Z             >>> # NOTE: some columns were removed for brevity
2025-07-24T04:20:35.7711270Z             >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-07-24T04:20:35.7711400Z             -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7711510Z             Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-07-24T04:20:35.7711640Z             -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7711730Z             pow                                  60.77%           47.470us         3
2025-07-24T04:20:35.7711810Z             mul                                  21.73%           25.465us         2
2025-07-24T04:20:35.7711920Z             PowBackward0                         12.03%           121.891us        1
2025-07-24T04:20:35.7712050Z             torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-07-24T04:20:35.7712150Z             label-z                              2.13%            12.421us         1
2025-07-24T04:20:35.7712270Z             torch::autograd::GraphRoot           0.64%            1.503us          1
2025-07-24T04:20:35.7712400Z             -----------------------------------  ---------------  ---------------  ---------------
2025-07-24T04:20:35.7712460Z             Self CPU time total: 234.344us
2025-07-24T04:20:35.7712520Z             CUDA time total: 0.000us
2025-07-24T04:20:35.7712560Z     
2025-07-24T04:20:35.7712600Z         
2025-07-24T04:20:35.7712750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7712790Z     
2025-07-24T04:20:35.7712850Z       warnings.warn(msg)
2025-07-24T04:20:35.7712890Z     
2025-07-24T04:20:35.7712990Z --- Parse Warning: 95 / 136 ---
2025-07-24T04:20:35.7713720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-07-24T04:20:35.7713880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7714000Z     Return a new dict with new, potentially nested, key value pair
2025-07-24T04:20:35.7714040Z     
2025-07-24T04:20:35.7714090Z         >>> purchase = {
2025-07-24T04:20:35.7714140Z         ...     "name": "Alice",
2025-07-24T04:20:35.7714250Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:35.7714330Z         ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:35.7714370Z         ... }
2025-07-24T04:20:35.7714500Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-07-24T04:20:35.7714560Z         {'credit card': '5555-1234-1234-1234',
2025-07-24T04:20:35.7714610Z          'name': 'Alice',
2025-07-24T04:20:35.7714720Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-07-24T04:20:35.7714780Z         
2025-07-24T04:20:35.7714930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7714970Z     
2025-07-24T04:20:35.7715020Z       warnings.warn(msg)
2025-07-24T04:20:35.7715060Z     
2025-07-24T04:20:35.7715160Z --- Parse Warning: 96 / 136 ---
2025-07-24T04:20:35.7715890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-07-24T04:20:35.7716090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7716180Z     Update value in a (potentially) nested dictionary
2025-07-24T04:20:35.7716250Z     
2025-07-24T04:20:35.7716300Z         inputs:
2025-07-24T04:20:35.7716370Z         d - dictionary on which to operate
2025-07-24T04:20:35.7716500Z         keys - list or tuple giving the location of the value to be changed in d
2025-07-24T04:20:35.7716580Z         func - function to operate on that value
2025-07-24T04:20:35.7716620Z     
2025-07-24T04:20:35.7716740Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-07-24T04:20:35.7716880Z         original dictionary with v replaced by func(v), but does not mutate the
2025-07-24T04:20:35.7716930Z         original dictionary.
2025-07-24T04:20:35.7716970Z     
2025-07-24T04:20:35.7717100Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-07-24T04:20:35.7717240Z         specified by the keys, with the innermost value set to func(default).
2025-07-24T04:20:35.7717280Z     
2025-07-24T04:20:35.7717330Z         >>> inc = lambda x: x + 1
2025-07-24T04:20:35.7717400Z         >>> update_in({"a": 0}, ["a"], inc)
2025-07-24T04:20:35.7717440Z         {'a': 1}
2025-07-24T04:20:35.7717480Z     
2025-07-24T04:20:35.7717530Z         >>> transaction = {
2025-07-24T04:20:35.7717580Z         ...     "name": "Alice",
2025-07-24T04:20:35.7717700Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:35.7717780Z         ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:35.7717820Z         ... }
2025-07-24T04:20:35.7717950Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-07-24T04:20:35.7718010Z         {'credit card': '5555-1234-1234-1234',
2025-07-24T04:20:35.7718070Z          'name': 'Alice',
2025-07-24T04:20:35.7718170Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-07-24T04:20:35.7718210Z     
2025-07-24T04:20:35.7718280Z         >>> # updating a value when k0 is not in d
2025-07-24T04:20:35.7718360Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-07-24T04:20:35.7718410Z         {1: {2: {3: 'bar'}}}
2025-07-24T04:20:35.7718480Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-07-24T04:20:35.7718540Z         {1: 'foo', 2: {3: {4: 1}}}
2025-07-24T04:20:35.7718580Z         
2025-07-24T04:20:35.7718730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7718770Z     
2025-07-24T04:20:35.7718830Z       warnings.warn(msg)
2025-07-24T04:20:35.7718860Z     
2025-07-24T04:20:35.7718970Z --- Parse Warning: 97 / 136 ---
2025-07-24T04:20:35.7719680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-07-24T04:20:35.7719840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7719940Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-07-24T04:20:35.7720000Z     
2025-07-24T04:20:35.7720120Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-07-24T04:20:35.7720240Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-07-24T04:20:35.7720280Z     
2025-07-24T04:20:35.7720410Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-07-24T04:20:35.7720490Z         structures such as dictionaries and lists.
2025-07-24T04:20:35.7720530Z     
2025-07-24T04:20:35.7720600Z         >>> transaction = {
2025-07-24T04:20:35.7720650Z         ...     "name": "Alice",
2025-07-24T04:20:35.7720760Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-07-24T04:20:35.7720860Z         ...     "credit card": "5555-1234-1234-1234",
2025-07-24T04:20:35.7720900Z         ... }
2025-07-24T04:20:35.7720980Z         >>> get_in(["purchase", "items", 0], transaction)
2025-07-24T04:20:35.7721050Z         'Apple'
2025-07-24T04:20:35.7721110Z         >>> get_in(["name"], transaction)
2025-07-24T04:20:35.7721160Z         'Alice'
2025-07-24T04:20:35.7721240Z         >>> get_in(["purchase", "total"], transaction)
2025-07-24T04:20:35.7721330Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-07-24T04:20:35.7721410Z         >>> get_in(["purchase", "items", 10], transaction)
2025-07-24T04:20:35.7721500Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-07-24T04:20:35.7721540Z         0
2025-07-24T04:20:35.7721600Z         >>> get_in(["y"], {}, no_default=True)
2025-07-24T04:20:35.7721670Z         Traceback (most recent call last):
2025-07-24T04:20:35.7721710Z             ...
2025-07-24T04:20:35.7721760Z         KeyError: 'y'
2025-07-24T04:20:35.7721800Z     
2025-07-24T04:20:35.7721840Z         See Also:
2025-07-24T04:20:35.7721890Z             itertoolz.get
2025-07-24T04:20:35.7721950Z             operator.getitem
2025-07-24T04:20:35.7721990Z         
2025-07-24T04:20:35.7722140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7722180Z     
2025-07-24T04:20:35.7722240Z       warnings.warn(msg)
2025-07-24T04:20:35.7722270Z     
2025-07-24T04:20:35.7722370Z --- Parse Warning: 98 / 136 ---
2025-07-24T04:20:35.7723100Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-07-24T04:20:35.7723250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7723320Z     Group a collection by a key function
2025-07-24T04:20:35.7723360Z     
2025-07-24T04:20:35.7723460Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-07-24T04:20:35.7723530Z         >>> groupby(len, names)  # doctest: +SKIP
2025-07-24T04:20:35.7723640Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-07-24T04:20:35.7723680Z     
2025-07-24T04:20:35.7723740Z         >>> iseven = lambda x: x % 2 == 0
2025-07-24T04:20:35.7723850Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-07-24T04:20:35.7723910Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-07-24T04:20:35.7723950Z     
2025-07-24T04:20:35.7724040Z         Non-callable keys imply grouping on a member.
2025-07-24T04:20:35.7724080Z     
2025-07-24T04:20:35.7724130Z         >>> groupby(
2025-07-24T04:20:35.7724170Z         ...     "gender",
2025-07-24T04:20:35.7724210Z         ...     [
2025-07-24T04:20:35.7724290Z         ...         {"name": "Alice", "gender": "F"},
2025-07-24T04:20:35.7724360Z         ...         {"name": "Bob", "gender": "M"},
2025-07-24T04:20:35.7724430Z         ...         {"name": "Charlie", "gender": "M"},
2025-07-24T04:20:35.7724470Z         ...     ],
2025-07-24T04:20:35.7724530Z         ... )  # doctest:+SKIP
2025-07-24T04:20:35.7724600Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-07-24T04:20:35.7724700Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-07-24T04:20:35.7724760Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-07-24T04:20:35.7724800Z     
2025-07-24T04:20:35.7724890Z         Not to be confused with ``itertools.groupby``
2025-07-24T04:20:35.7724930Z     
2025-07-24T04:20:35.7724970Z         See Also:
2025-07-24T04:20:35.7725020Z             countby
2025-07-24T04:20:35.7725060Z         
2025-07-24T04:20:35.7725240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7725280Z     
2025-07-24T04:20:35.7725330Z       warnings.warn(msg)
2025-07-24T04:20:35.7725370Z     
2025-07-24T04:20:35.7725490Z --- Parse Warning: 99 / 136 ---
2025-07-24T04:20:35.7726170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-07-24T04:20:35.7726330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7726530Z     Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-07-24T04:20:35.7726570Z     
2025-07-24T04:20:35.7726790Z         Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-07-24T04:20:35.7726920Z         intervals by which each scheduler should be called at a given epoch.
2025-07-24T04:20:35.7726960Z     
2025-07-24T04:20:35.7727000Z         Args:
2025-07-24T04:20:35.7727090Z             optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:35.7727170Z             schedulers (list): List of chained schedulers.
2025-07-24T04:20:35.7727310Z             milestones (list): List of integers that reflects milestone points.
2025-07-24T04:20:35.7727410Z             last_epoch (int): The index of last epoch. Default: -1.
2025-07-24T04:20:35.7727450Z     
2025-07-24T04:20:35.7727500Z         Example:
2025-07-24T04:20:35.7727560Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7727650Z             >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-07-24T04:20:35.7727710Z             >>> # lr = 0.005     if epoch == 0
2025-07-24T04:20:35.7727780Z             >>> # lr = 0.005     if epoch == 1
2025-07-24T04:20:35.7727840Z             >>> # lr = 0.005     if epoch == 2
2025-07-24T04:20:35.7727880Z             >>> # ...
2025-07-24T04:20:35.7727940Z             >>> # lr = 0.05      if epoch == 20
2025-07-24T04:20:35.7728010Z             >>> # lr = 0.045     if epoch == 21
2025-07-24T04:20:35.7728070Z             >>> # lr = 0.0405    if epoch == 22
2025-07-24T04:20:35.7728190Z             >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-07-24T04:20:35.7728290Z             >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-07-24T04:20:35.7728350Z             >>> scheduler = SequentialLR(
2025-07-24T04:20:35.7728410Z             ...     optimizer,
2025-07-24T04:20:35.7728490Z             ...     schedulers=[scheduler1, scheduler2],
2025-07-24T04:20:35.7728540Z             ...     milestones=[20],
2025-07-24T04:20:35.7728580Z             ... )
2025-07-24T04:20:35.7728640Z             >>> for epoch in range(100):
2025-07-24T04:20:35.7728690Z             >>>     train(...)
2025-07-24T04:20:35.7728750Z             >>>     validate(...)
2025-07-24T04:20:35.7728800Z             >>>     scheduler.step()
2025-07-24T04:20:35.7728850Z     
2025-07-24T04:20:35.7728950Z         .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-07-24T04:20:35.7728990Z         
2025-07-24T04:20:35.7729150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7729190Z     
2025-07-24T04:20:35.7729240Z       warnings.warn(msg)
2025-07-24T04:20:35.7729280Z     
2025-07-24T04:20:35.7729380Z --- Parse Warning: 100 / 136 ---
2025-07-24T04:20:35.7730080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-07-24T04:20:35.7730230Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7730340Z     Reduce learning rate when a metric has stopped improving.
2025-07-24T04:20:35.7730400Z     
2025-07-24T04:20:35.7730530Z         Models often benefit from reducing the learning rate by a factor
2025-07-24T04:20:35.7730670Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-07-24T04:20:35.7730800Z         quantity and if no improvement is seen for a 'patience' number
2025-07-24T04:20:35.7730890Z         of epochs, the learning rate is reduced.
2025-07-24T04:20:35.7730930Z     
2025-07-24T04:20:35.7730970Z         Args:
2025-07-24T04:20:35.7731060Z             optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:35.7731160Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-07-24T04:20:35.7731250Z                 be reduced when the quantity monitored has stopped
2025-07-24T04:20:35.7731350Z                 decreasing; in `max` mode it will be reduced when the
2025-07-24T04:20:35.7731470Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-07-24T04:20:35.7731580Z             factor (float): Factor by which the learning rate will be
2025-07-24T04:20:35.7731660Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-07-24T04:20:35.7731800Z             patience (int): The number of allowed epochs with no improvement after
2025-07-24T04:20:35.7731880Z                 which the learning rate will be reduced.
2025-07-24T04:20:35.7732020Z                 For example, consider the case of having no patience (`patience = 0`).
2025-07-24T04:20:35.7732240Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-07-24T04:20:35.7732370Z                 In the second epoch, if the performance is worse than the baseline,
2025-07-24T04:20:35.7732460Z                 we have what is considered an intolerable epoch.
2025-07-24T04:20:35.7732620Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-07-24T04:20:35.7732730Z                 the learning rate is reduced at the end of this epoch.
2025-07-24T04:20:35.7732920Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-07-24T04:20:35.7733110Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-07-24T04:20:35.7733190Z                 the learning rate is not adjusted.
2025-07-24T04:20:35.7733240Z                 Default: 10.
2025-07-24T04:20:35.7733360Z             threshold (float): Threshold for measuring the new optimum,
2025-07-24T04:20:35.7733460Z                 to only focus on significant changes. Default: 1e-4.
2025-07-24T04:20:35.7733570Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-07-24T04:20:35.7733670Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-07-24T04:20:35.7733760Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-07-24T04:20:35.7733860Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-07-24T04:20:35.7733970Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-07-24T04:20:35.7734080Z             cooldown (int): Number of epochs to wait before resuming
2025-07-24T04:20:35.7734190Z                 normal operation after lr has been reduced. Default: 0.
2025-07-24T04:20:35.7734280Z             min_lr (float or list): A scalar or a list of scalars. A
2025-07-24T04:20:35.7734380Z                 lower bound on the learning rate of all param groups
2025-07-24T04:20:35.7734490Z                 or each group respectively. Default: 0.
2025-07-24T04:20:35.7734600Z             eps (float): Minimal decay applied to lr. If the difference
2025-07-24T04:20:35.7734710Z                 between new and old lr is smaller than eps, the update is
2025-07-24T04:20:35.7734770Z                 ignored. Default: 1e-8.
2025-07-24T04:20:35.7734810Z     
2025-07-24T04:20:35.7734850Z         Example:
2025-07-24T04:20:35.7734910Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7735070Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-07-24T04:20:35.7735170Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-07-24T04:20:35.7735250Z             >>> for epoch in range(10):
2025-07-24T04:20:35.7735300Z             >>>     train(...)
2025-07-24T04:20:35.7735370Z             >>>     val_loss = validate(...)
2025-07-24T04:20:35.7735490Z             >>> # Note that step should be called after validate()
2025-07-24T04:20:35.7735560Z             >>>     scheduler.step(val_loss)
2025-07-24T04:20:35.7735600Z     
2025-07-24T04:20:35.7735720Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-07-24T04:20:35.7735760Z         
2025-07-24T04:20:35.7736010Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-07-24T04:20:35.7736050Z     
2025-07-24T04:20:35.7736110Z         scheduler.step(val_loss)
2025-07-24T04:20:35.7736150Z        ^
2025-07-24T04:20:35.7736200Z       warnings.warn(msg)
2025-07-24T04:20:35.7736250Z     
2025-07-24T04:20:35.7736350Z --- Parse Warning: 101 / 136 ---
2025-07-24T04:20:35.7737000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-07-24T04:20:35.7737150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7737350Z     Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-07-24T04:20:35.7737390Z     
2025-07-24T04:20:35.7737560Z         The policy cycles the learning rate between two boundaries with a constant frequency,
2025-07-24T04:20:35.7737720Z         as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-07-24T04:20:35.7737860Z         The distance between the two boundaries can be scaled on a per-iteration
2025-07-24T04:20:35.7737920Z         or per-cycle basis.
2025-07-24T04:20:35.7737960Z     
2025-07-24T04:20:35.7738100Z         Cyclical learning rate policy changes the learning rate after every batch.
2025-07-24T04:20:35.7738220Z         `step` should be called after a batch has been used for training.
2025-07-24T04:20:35.7738270Z     
2025-07-24T04:20:35.7738390Z         This class has three built-in policies, as put forth in the paper:
2025-07-24T04:20:35.7738440Z     
2025-07-24T04:20:35.7738560Z         * "triangular": A basic triangular cycle without amplitude scaling.
2025-07-24T04:20:35.7738740Z         * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-07-24T04:20:35.7738940Z         * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-07-24T04:20:35.7739000Z           at each cycle iteration.
2025-07-24T04:20:35.7739040Z     
2025-07-24T04:20:35.7739180Z         This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-07-24T04:20:35.7739220Z     
2025-07-24T04:20:35.7739270Z         Args:
2025-07-24T04:20:35.7739350Z             optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:35.7739470Z             base_lr (float or list): Initial learning rate which is the
2025-07-24T04:20:35.7739570Z                 lower boundary in the cycle for each parameter group.
2025-07-24T04:20:35.7739710Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-07-24T04:20:35.7739800Z                 for each parameter group. Functionally,
2025-07-24T04:20:35.7739890Z                 it defines the cycle amplitude (max_lr - base_lr).
2025-07-24T04:20:35.7739970Z                 The lr at any cycle is the sum of base_lr
2025-07-24T04:20:35.7740060Z                 and some scaling of the amplitude; therefore
2025-07-24T04:20:35.7740150Z                 max_lr may not actually be reached depending on
2025-07-24T04:20:35.7740230Z                 scaling function.
2025-07-24T04:20:35.7740340Z             step_size_up (int): Number of training iterations in the
2025-07-24T04:20:35.7740440Z                 increasing half of a cycle. Default: 2000
2025-07-24T04:20:35.7740550Z             step_size_down (int): Number of training iterations in the
2025-07-24T04:20:35.7740680Z                 decreasing half of a cycle. If step_size_down is None,
2025-07-24T04:20:35.7740760Z                 it is set to step_size_up. Default: None
2025-07-24T04:20:35.7740860Z             mode (str): One of {triangular, triangular2, exp_range}.
2025-07-24T04:20:35.7740950Z                 Values correspond to policies detailed above.
2025-07-24T04:20:35.7741050Z                 If scale_fn is not None, this argument is ignored.
2025-07-24T04:20:35.7741110Z                 Default: 'triangular'
2025-07-24T04:20:35.7741210Z             gamma (float): Constant in 'exp_range' scaling function:
2025-07-24T04:20:35.7741270Z                 gamma**(cycle iterations)
2025-07-24T04:20:35.7741320Z                 Default: 1.0
2025-07-24T04:20:35.7741440Z             scale_fn (function): Custom scaling policy defined by a single
2025-07-24T04:20:35.7741510Z                 argument lambda function, where
2025-07-24T04:20:35.7741580Z                 0 <= scale_fn(x) <= 1 for all x >= 0.
2025-07-24T04:20:35.7741660Z                 If specified, then 'mode' is ignored.
2025-07-24T04:20:35.7741710Z                 Default: None
2025-07-24T04:20:35.7741790Z             scale_mode (str): {'cycle', 'iterations'}.
2025-07-24T04:20:35.7741870Z                 Defines whether scale_fn is evaluated on
2025-07-24T04:20:35.7741950Z                 cycle number or cycle iterations (training
2025-07-24T04:20:35.7742020Z                 iterations since start of cycle).
2025-07-24T04:20:35.7742080Z                 Default: 'cycle'
2025-07-24T04:20:35.7742200Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-07-24T04:20:35.7742320Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-07-24T04:20:35.7742370Z                 Default: True
2025-07-24T04:20:35.7742500Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-07-24T04:20:35.7742630Z                 for each parameter group. Note that momentum is cycled inversely
2025-07-24T04:20:35.7742730Z                 to learning rate; at the peak of a cycle, momentum is
2025-07-24T04:20:35.7742820Z                 'base_momentum' and learning rate is 'max_lr'.
2025-07-24T04:20:35.7742870Z                 Default: 0.8
2025-07-24T04:20:35.7743000Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-07-24T04:20:35.7743080Z                 for each parameter group. Functionally,
2025-07-24T04:20:35.7743200Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-07-24T04:20:35.7743310Z                 The momentum at any cycle is the difference of max_momentum
2025-07-24T04:20:35.7743400Z                 and some scaling of the amplitude; therefore
2025-07-24T04:20:35.7743500Z                 base_momentum may not actually be reached depending on
2025-07-24T04:20:35.7743620Z                 scaling function. Note that momentum is cycled inversely
2025-07-24T04:20:35.7743750Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-07-24T04:20:35.7743820Z                 and learning rate is 'base_lr'
2025-07-24T04:20:35.7743900Z                 Default: 0.9
2025-07-24T04:20:35.7744040Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-07-24T04:20:35.7744170Z                 resuming a training job. Since `step()` should be invoked after each
2025-07-24T04:20:35.7744310Z                 batch instead of after each epoch, this number represents the total
2025-07-24T04:20:35.7744440Z                 number of *batches* computed, not the total number of epochs computed.
2025-07-24T04:20:35.7744590Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-07-24T04:20:35.7744640Z                 Default: -1
2025-07-24T04:20:35.7744690Z     
2025-07-24T04:20:35.7744740Z         Example:
2025-07-24T04:20:35.7744800Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7744940Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-07-24T04:20:35.7745060Z             >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-07-24T04:20:35.7745120Z             ...     optimizer,
2025-07-24T04:20:35.7745170Z             ...     base_lr=0.01,
2025-07-24T04:20:35.7745220Z             ...     max_lr=0.1,
2025-07-24T04:20:35.7745280Z             ...     step_size_up=10,
2025-07-24T04:20:35.7745320Z             ... )
2025-07-24T04:20:35.7745410Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-07-24T04:20:35.7745470Z             >>> for epoch in range(10):
2025-07-24T04:20:35.7745540Z             >>>     for batch in data_loader:
2025-07-24T04:20:35.7745600Z             >>>         train_batch(...)
2025-07-24T04:20:35.7745650Z             >>>         scheduler.step()
2025-07-24T04:20:35.7745690Z     
2025-07-24T04:20:35.7745790Z         .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-07-24T04:20:35.7745830Z     
2025-07-24T04:20:35.7746020Z         .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-07-24T04:20:35.7746120Z         .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-07-24T04:20:35.7746160Z         
2025-07-24T04:20:35.7746310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7746360Z     
2025-07-24T04:20:35.7746410Z       warnings.warn(msg)
2025-07-24T04:20:35.7746450Z     
2025-07-24T04:20:35.7746550Z --- Parse Warning: 102 / 136 ---
2025-07-24T04:20:35.7747260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1713.
2025-07-24T04:20:35.7747420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7747580Z     Set the learning rate of each parameter group using a cosine annealing schedule.
2025-07-24T04:20:35.7747620Z     
2025-07-24T04:20:35.7747730Z         The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-07-24T04:20:35.7747880Z         is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-07-24T04:20:35.7747960Z         of epochs between two warm restarts in SGDR:
2025-07-24T04:20:35.7748000Z     
2025-07-24T04:20:35.7748040Z         .. math::
2025-07-24T04:20:35.7748160Z             \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-07-24T04:20:35.7748250Z             \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-07-24T04:20:35.7748290Z     
2025-07-24T04:20:35.7748390Z         When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-07-24T04:20:35.7748510Z         When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-07-24T04:20:35.7748550Z     
2025-07-24T04:20:35.7748610Z         It has been proposed in
2025-07-24T04:20:35.7748720Z         `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-07-24T04:20:35.7748760Z     
2025-07-24T04:20:35.7748830Z         Args:
2025-07-24T04:20:35.7748910Z             optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:35.7749010Z             T_0 (int): Number of iterations until the first restart.
2025-07-24T04:20:35.7749180Z             T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-07-24T04:20:35.7749300Z             eta_min (float, optional): Minimum learning rate. Default: 0.
2025-07-24T04:20:35.7749430Z             last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-07-24T04:20:35.7749490Z     
2025-07-24T04:20:35.7749600Z         .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-07-24T04:20:35.7749700Z             https://arxiv.org/abs/1608.03983
2025-07-24T04:20:35.7749740Z     
2025-07-24T04:20:35.7749790Z         Example:
2025-07-24T04:20:35.7749840Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7749970Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-07-24T04:20:35.7750120Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-07-24T04:20:35.7750180Z             ...     optimizer, T_0=20
2025-07-24T04:20:35.7750220Z             ... )
2025-07-24T04:20:35.7750280Z             >>> for epoch in range(100):
2025-07-24T04:20:35.7750330Z             >>>     train(...)
2025-07-24T04:20:35.7750380Z             >>>     validate(...)
2025-07-24T04:20:35.7750440Z             >>>     scheduler.step()
2025-07-24T04:20:35.7750480Z     
2025-07-24T04:20:35.7750620Z         .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-07-24T04:20:35.7750670Z         
2025-07-24T04:20:35.7750820Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7750860Z     
2025-07-24T04:20:35.7750920Z       warnings.warn(msg)
2025-07-24T04:20:35.7750950Z     
2025-07-24T04:20:35.7751060Z --- Parse Warning: 103 / 136 ---
2025-07-24T04:20:35.7751720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1863.
2025-07-24T04:20:35.7751880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7752060Z     Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-07-24T04:20:35.7752100Z     
2025-07-24T04:20:35.7752280Z         The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-07-24T04:20:35.7752450Z         learning rate and then from that maximum learning rate to some minimum learning rate much
2025-07-24T04:20:35.7752520Z         lower than the initial learning rate.
2025-07-24T04:20:35.7752660Z         This policy was initially described in the paper `Super-Convergence:
2025-07-24T04:20:35.7752790Z         Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-07-24T04:20:35.7752830Z     
2025-07-24T04:20:35.7752980Z         The 1cycle learning rate policy changes the learning rate after every batch.
2025-07-24T04:20:35.7753100Z         `step` should be called after a batch has been used for training.
2025-07-24T04:20:35.7753140Z     
2025-07-24T04:20:35.7753200Z         This scheduler is not chainable.
2025-07-24T04:20:35.7753240Z     
2025-07-24T04:20:35.7753390Z         Note also that the total number of steps in the cycle can be determined in one
2025-07-24T04:20:35.7753470Z         of two ways (listed in order of precedence):
2025-07-24T04:20:35.7753510Z     
2025-07-24T04:20:35.7753610Z         #. A value for total_steps is explicitly provided.
2025-07-24T04:20:35.7753720Z         #. A number of epochs (epochs) and a number of steps per epoch
2025-07-24T04:20:35.7753790Z            (steps_per_epoch) are provided.
2025-07-24T04:20:35.7753890Z            In this case, the number of total steps is inferred by
2025-07-24T04:20:35.7753990Z            total_steps = epochs * steps_per_epoch
2025-07-24T04:20:35.7754030Z     
2025-07-24T04:20:35.7754170Z         You must either provide a value for total_steps or provide a value for both
2025-07-24T04:20:35.7754240Z         epochs and steps_per_epoch.
2025-07-24T04:20:35.7754280Z     
2025-07-24T04:20:35.7754460Z         The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-07-24T04:20:35.7754630Z         claims that "unpublished work has shown even better results by using only two phases". To
2025-07-24T04:20:35.7754800Z         mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-07-24T04:20:35.7754850Z     
2025-07-24T04:20:35.7754910Z         Args:
2025-07-24T04:20:35.7754990Z             optimizer (Optimizer): Wrapped optimizer.
2025-07-24T04:20:35.7755150Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-07-24T04:20:35.7755210Z                 for each parameter group.
2025-07-24T04:20:35.7755340Z             total_steps (int): The total number of steps in the cycle. Note that
2025-07-24T04:20:35.7755480Z                 if a value is not provided here, then it must be inferred by providing
2025-07-24T04:20:35.7755550Z                 a value for epochs and steps_per_epoch.
2025-07-24T04:20:35.7755610Z                 Default: None
2025-07-24T04:20:35.7755730Z             epochs (int): The number of epochs to train for. This is used along
2025-07-24T04:20:35.7758510Z                 with steps_per_epoch in order to infer the total number of steps in the cycle
2025-07-24T04:20:35.7758610Z                 if a value for total_steps is not provided.
2025-07-24T04:20:35.7758670Z                 Default: None
2025-07-24T04:20:35.7758810Z             steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-07-24T04:20:35.7758960Z                 used along with epochs in order to infer the total number of steps in the
2025-07-24T04:20:35.7759050Z                 cycle if a value for total_steps is not provided.
2025-07-24T04:20:35.7759100Z                 Default: None
2025-07-24T04:20:35.7759240Z             pct_start (float): The percentage of the cycle (in number of steps) spent
2025-07-24T04:20:35.7759310Z                 increasing the learning rate.
2025-07-24T04:20:35.7759360Z                 Default: 0.3
2025-07-24T04:20:35.7759440Z             anneal_strategy (str): {'cos', 'linear'}
2025-07-24T04:20:35.7759590Z                 Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-07-24T04:20:35.7759650Z                 linear annealing.
2025-07-24T04:20:35.7759700Z                 Default: 'cos'
2025-07-24T04:20:35.7759820Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-07-24T04:20:35.7759940Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-07-24T04:20:35.7759990Z                 Default: True
2025-07-24T04:20:35.7760120Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-07-24T04:20:35.7760250Z                 for each parameter group. Note that momentum is cycled inversely
2025-07-24T04:20:35.7760350Z                 to learning rate; at the peak of a cycle, momentum is
2025-07-24T04:20:35.7760440Z                 'base_momentum' and learning rate is 'max_lr'.
2025-07-24T04:20:35.7760490Z                 Default: 0.85
2025-07-24T04:20:35.7760620Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-07-24T04:20:35.7760700Z                 for each parameter group. Functionally,
2025-07-24T04:20:35.7760820Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-07-24T04:20:35.7760900Z                 Note that momentum is cycled inversely
2025-07-24T04:20:35.7761030Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-07-24T04:20:35.7761100Z                 and learning rate is 'base_lr'
2025-07-24T04:20:35.7761150Z                 Default: 0.95
2025-07-24T04:20:35.7761310Z             div_factor (float): Determines the initial learning rate via
2025-07-24T04:20:35.7761380Z                 initial_lr = max_lr/div_factor
2025-07-24T04:20:35.7761430Z                 Default: 25
2025-07-24T04:20:35.7761560Z             final_div_factor (float): Determines the minimum learning rate via
2025-07-24T04:20:35.7761630Z                 min_lr = initial_lr/final_div_factor
2025-07-24T04:20:35.7761680Z                 Default: 1e4
2025-07-24T04:20:35.7761860Z             three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-07-24T04:20:35.7762030Z                 learning rate according to 'final_div_factor' instead of modifying the second
2025-07-24T04:20:35.7762180Z                 phase (the first two phases will be symmetrical about the step indicated by
2025-07-24T04:20:35.7762240Z                 'pct_start').
2025-07-24T04:20:35.7762390Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-07-24T04:20:35.7762530Z                 resuming a training job. Since `step()` should be invoked after each
2025-07-24T04:20:35.7762660Z                 batch instead of after each epoch, this number represents the total
2025-07-24T04:20:35.7762800Z                 number of *batches* computed, not the total number of epochs computed.
2025-07-24T04:20:35.7762920Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-07-24T04:20:35.7762970Z                 Default: -1
2025-07-24T04:20:35.7763010Z     
2025-07-24T04:20:35.7763060Z         Example:
2025-07-24T04:20:35.7763110Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7763210Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-07-24T04:20:35.7763350Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-07-24T04:20:35.7763450Z             >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-07-24T04:20:35.7763580Z             ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-07-24T04:20:35.7763630Z             ... )
2025-07-24T04:20:35.7763680Z             >>> for epoch in range(10):
2025-07-24T04:20:35.7763750Z             >>>     for batch in data_loader:
2025-07-24T04:20:35.7763810Z             >>>         train_batch(...)
2025-07-24T04:20:35.7763870Z             >>>         optimizer.step()
2025-07-24T04:20:35.7763930Z             >>>         scheduler.step()
2025-07-24T04:20:35.7763970Z     
2025-07-24T04:20:35.7764080Z         .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-07-24T04:20:35.7764120Z     
2025-07-24T04:20:35.7764290Z         .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-07-24T04:20:35.7764360Z             https://arxiv.org/abs/1708.07120
2025-07-24T04:20:35.7764410Z         
2025-07-24T04:20:35.7764560Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7764600Z     
2025-07-24T04:20:35.7764650Z       warnings.warn(msg)
2025-07-24T04:20:35.7764700Z     
2025-07-24T04:20:35.7764820Z --- Parse Warning: 104 / 136 ---
2025-07-24T04:20:35.7765470Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-07-24T04:20:35.7765630Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7765840Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-07-24T04:20:35.7765880Z     
2025-07-24T04:20:35.7766030Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-07-24T04:20:35.7766160Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-07-24T04:20:35.7766300Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-07-24T04:20:35.7766370Z         (UAI 2018).
2025-07-24T04:20:35.7766410Z     
2025-07-24T04:20:35.7766540Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-07-24T04:20:35.7766690Z         but using exponential weights instead of equal weights across iterations.
2025-07-24T04:20:35.7766730Z     
2025-07-24T04:20:35.7766870Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-07-24T04:20:35.7767120Z         on the device :attr:`device` and allows to compute running averages of the
2025-07-24T04:20:35.7767180Z         parameters of the :attr:`model`.
2025-07-24T04:20:35.7767220Z     
2025-07-24T04:20:35.7767280Z         Args:
2025-07-24T04:20:35.7767380Z             model (torch.nn.Module): model to use with SWA/EMA
2025-07-24T04:20:35.7767540Z             device (torch.device, optional): if provided, the averaged model will be
2025-07-24T04:20:35.7767610Z                 stored on the :attr:`device`
2025-07-24T04:20:35.7767740Z             avg_fn (function, optional): the averaging function used to update
2025-07-24T04:20:35.7767860Z                 parameters; the function must take in the current value of the
2025-07-24T04:20:35.7767990Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-07-24T04:20:35.7768110Z                 parameter, and the number of models already averaged; if None,
2025-07-24T04:20:35.7768210Z                 an equally weighted average is used (default: None)
2025-07-24T04:20:35.7768350Z             multi_avg_fn (function, optional): the averaging function used to update
2025-07-24T04:20:35.7768500Z                 parameters inplace; the function must take in the current values of the
2025-07-24T04:20:35.7768660Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-07-24T04:20:35.7768800Z                 parameters as a list, and the number of models already averaged; if None,
2025-07-24T04:20:35.7768910Z                 an equally weighted average is used (default: None)
2025-07-24T04:20:35.7769040Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-07-24T04:20:35.7769180Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-07-24T04:20:35.7769220Z     
2025-07-24T04:20:35.7769260Z         Example:
2025-07-24T04:20:35.7769340Z             >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7769420Z             >>> loader, optimizer, model, loss_fn = ...
2025-07-24T04:20:35.7769530Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-07-24T04:20:35.7769670Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-07-24T04:20:35.7769740Z             >>>                                     T_max=300)
2025-07-24T04:20:35.7769790Z             >>> swa_start = 160
2025-07-24T04:20:35.7769880Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-07-24T04:20:35.7769940Z             >>> for i in range(300):
2025-07-24T04:20:35.7770010Z             >>>      for input, target in loader:
2025-07-24T04:20:35.7770080Z             >>>          optimizer.zero_grad()
2025-07-24T04:20:35.7770160Z             >>>          loss_fn(model(input), target).backward()
2025-07-24T04:20:35.7770230Z             >>>          optimizer.step()
2025-07-24T04:20:35.7770280Z             >>>      if i > swa_start:
2025-07-24T04:20:35.7770360Z             >>>          swa_model.update_parameters(model)
2025-07-24T04:20:35.7770430Z             >>>          swa_scheduler.step()
2025-07-24T04:20:35.7770480Z             >>>      else:
2025-07-24T04:20:35.7770540Z             >>>          scheduler.step()
2025-07-24T04:20:35.7770580Z             >>>
2025-07-24T04:20:35.7770670Z             >>> # Update bn statistics for the swa_model at the end
2025-07-24T04:20:35.7770780Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-07-24T04:20:35.7770820Z     
2025-07-24T04:20:35.7771020Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-07-24T04:20:35.7771140Z         If no averaging function is provided, the default is to compute
2025-07-24T04:20:35.7771230Z         equally-weighted average of the weights (SWA).
2025-07-24T04:20:35.7771270Z     
2025-07-24T04:20:35.7771320Z         Example:
2025-07-24T04:20:35.7771400Z             >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7771550Z             >>> # Compute exponential moving averages of the weights and buffers
2025-07-24T04:20:35.7771650Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-07-24T04:20:35.7771820Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-07-24T04:20:35.7771860Z     
2025-07-24T04:20:35.7771910Z         .. note::
2025-07-24T04:20:35.7772060Z             When using SWA/EMA with models containing Batch Normalization you may
2025-07-24T04:20:35.7772190Z             need to update the activation statistics for Batch Normalization.
2025-07-24T04:20:35.7772330Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-07-24T04:20:35.7772470Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-07-24T04:20:35.7772620Z             statistics in a post-training step by passing data through the model. The
2025-07-24T04:20:35.7772760Z             second does it during the parameter update phase by averaging all buffers.
2025-07-24T04:20:35.7772910Z             Empirical evidence has shown that updating the statistics in normalization
2025-07-24T04:20:35.7773040Z             layers increases accuracy, but you may wish to empirically test which
2025-07-24T04:20:35.7773140Z             approach yields the best results in your problem.
2025-07-24T04:20:35.7773180Z     
2025-07-24T04:20:35.7773230Z         .. note::
2025-07-24T04:20:35.7773380Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-07-24T04:20:35.7773420Z     
2025-07-24T04:20:35.7773470Z         .. note::
2025-07-24T04:20:35.7773590Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-07-24T04:20:35.7773710Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-07-24T04:20:35.7773830Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-07-24T04:20:35.7773950Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-07-24T04:20:35.7774010Z             to update the parameters.
2025-07-24T04:20:35.7774050Z     
2025-07-24T04:20:35.7774180Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-07-24T04:20:35.7774260Z             https://arxiv.org/abs/1803.05407
2025-07-24T04:20:35.7774400Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-07-24T04:20:35.7774450Z             Average:
2025-07-24T04:20:35.7774520Z             https://arxiv.org/abs/1806.05594
2025-07-24T04:20:35.7774640Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-07-24T04:20:35.7774710Z             https://arxiv.org/abs/1904.11943
2025-07-24T04:20:35.7774840Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-07-24T04:20:35.7774890Z             Generalizes Well:
2025-07-24T04:20:35.7774960Z             https://arxiv.org/abs/2001.02312
2025-07-24T04:20:35.7775020Z         .. _Polyak averaging:
2025-07-24T04:20:35.7775120Z             https://paperswithcode.com/method/polyak-averaging
2025-07-24T04:20:35.7775160Z         
2025-07-24T04:20:35.7775310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7775350Z     
2025-07-24T04:20:35.7775400Z       warnings.warn(msg)
2025-07-24T04:20:35.7775440Z     
2025-07-24T04:20:35.7775550Z --- Parse Warning: 105 / 136 ---
2025-07-24T04:20:35.7776180Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-07-24T04:20:35.7776360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7776490Z     Anneals the learning rate in each parameter group to a fixed value.
2025-07-24T04:20:35.7776550Z     
2025-07-24T04:20:35.7776690Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-07-24T04:20:35.7776820Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-07-24T04:20:35.7776880Z     
2025-07-24T04:20:35.7776930Z         Args:
2025-07-24T04:20:35.7777030Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-07-24T04:20:35.7777190Z             swa_lrs (float or list): the learning rate value for all param groups
2025-07-24T04:20:35.7777270Z                 together or separately for each group.
2025-07-24T04:20:35.7777400Z             annealing_epochs (int): number of epochs in the annealing phase
2025-07-24T04:20:35.7777450Z                 (default: 10)
2025-07-24T04:20:35.7777580Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-07-24T04:20:35.7777710Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-07-24T04:20:35.7777760Z                 (default: "cos")
2025-07-24T04:20:35.7777870Z             last_epoch (int): the index of the last epoch (default: -1)
2025-07-24T04:20:35.7777920Z     
2025-07-24T04:20:35.7778030Z         The :class:`SWALR` scheduler can be used together with other
2025-07-24T04:20:35.7778160Z         schedulers to switch to a constant learning rate late in the training
2025-07-24T04:20:35.7778220Z         as in the example below.
2025-07-24T04:20:35.7778260Z     
2025-07-24T04:20:35.7778300Z         Example:
2025-07-24T04:20:35.7778380Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-07-24T04:20:35.7778450Z             >>> loader, optimizer, model = ...
2025-07-24T04:20:35.7778520Z             >>> lr_lambda = lambda epoch: 0.9
2025-07-24T04:20:35.7778660Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-07-24T04:20:35.7778710Z             >>>        lr_lambda=lr_lambda)
2025-07-24T04:20:35.7778820Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-07-24T04:20:35.7778940Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-07-24T04:20:35.7778990Z             >>> swa_start = 160
2025-07-24T04:20:35.7779040Z             >>> for i in range(300):
2025-07-24T04:20:35.7779120Z             >>>      for input, target in loader:
2025-07-24T04:20:35.7779180Z             >>>          optimizer.zero_grad()
2025-07-24T04:20:35.7779270Z             >>>          loss_fn(model(input), target).backward()
2025-07-24T04:20:35.7779330Z             >>>          optimizer.step()
2025-07-24T04:20:35.7779390Z             >>>      if i > swa_start:
2025-07-24T04:20:35.7779450Z             >>>          swa_scheduler.step()
2025-07-24T04:20:35.7779500Z             >>>      else:
2025-07-24T04:20:35.7779560Z             >>>          scheduler.step()
2025-07-24T04:20:35.7779600Z     
2025-07-24T04:20:35.7779730Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-07-24T04:20:35.7779800Z             https://arxiv.org/abs/1803.05407
2025-07-24T04:20:35.7779840Z         
2025-07-24T04:20:35.7779990Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7780030Z     
2025-07-24T04:20:35.7780090Z       warnings.warn(msg)
2025-07-24T04:20:35.7780130Z     
2025-07-24T04:20:35.7780230Z --- Parse Warning: 106 / 136 ---
2025-07-24T04:20:35.7780900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-07-24T04:20:35.7781080Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7781140Z     Load the optimizer state.
2025-07-24T04:20:35.7781180Z     
2025-07-24T04:20:35.7781220Z             Args:
2025-07-24T04:20:35.7781340Z                 state_dict (dict): optimizer state. Should be an object returned
2025-07-24T04:20:35.7781430Z                     from a call to :meth:`state_dict`.
2025-07-24T04:20:35.7781480Z     
2025-07-24T04:20:35.7781520Z             .. warning::
2025-07-24T04:20:35.7781750Z                 Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-07-24T04:20:35.7781900Z                 as calling it beforehand will overwrite the loaded learning rates.
2025-07-24T04:20:35.7781940Z     
2025-07-24T04:20:35.7781990Z             .. note::
2025-07-24T04:20:35.7782170Z                 The names of the parameters (if they exist under the "param_names" key of each param group
2025-07-24T04:20:35.7782270Z                 in :meth:`state_dict`) will not affect the loading process.
2025-07-24T04:20:35.7782470Z                 To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-07-24T04:20:35.7782570Z                 differ from those initialized in the optimizer),
2025-07-24T04:20:35.7782760Z                 a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-07-24T04:20:35.7782810Z                 accordingly.
2025-07-24T04:20:35.7782990Z                 If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-07-24T04:20:35.7783180Z                 the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-07-24T04:20:35.7783280Z                 the optimizer ``param_names`` will remain unchanged.
2025-07-24T04:20:35.7783320Z     
2025-07-24T04:20:35.7783370Z             Example:
2025-07-24T04:20:35.7783420Z                 >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7783500Z                 >>> model = torch.nn.Linear(10, 10)
2025-07-24T04:20:35.7783600Z                 >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-07-24T04:20:35.7783700Z                 >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-07-24T04:20:35.7783760Z                 ...     optim,
2025-07-24T04:20:35.7783810Z                 ...     start_factor=0.1,
2025-07-24T04:20:35.7783870Z                 ...     end_factor=1,
2025-07-24T04:20:35.7783930Z                 ...     total_iters=20,
2025-07-24T04:20:35.7783970Z                 ... )
2025-07-24T04:20:35.7784090Z                 >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-07-24T04:20:35.7784140Z                 ...     optim,
2025-07-24T04:20:35.7784190Z                 ...     T_max=80,
2025-07-24T04:20:35.7784240Z                 ...     eta_min=3e-5,
2025-07-24T04:20:35.7784290Z                 ... )
2025-07-24T04:20:35.7784380Z                 >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-07-24T04:20:35.7784430Z                 ...     optim,
2025-07-24T04:20:35.7784510Z                 ...     schedulers=[scheduler1, scheduler2],
2025-07-24T04:20:35.7784570Z                 ...     milestones=[20],
2025-07-24T04:20:35.7784610Z                 ... )
2025-07-24T04:20:35.7784710Z                 >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-07-24T04:20:35.7784830Z                 >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-07-24T04:20:35.7784940Z                 >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-07-24T04:20:35.7784980Z     
2025-07-24T04:20:35.7785030Z             
2025-07-24T04:20:35.7785180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7785250Z     
2025-07-24T04:20:35.7785310Z       warnings.warn(msg)
2025-07-24T04:20:35.7785350Z     
2025-07-24T04:20:35.7785450Z --- Parse Warning: 107 / 136 ---
2025-07-24T04:20:35.7786150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-07-24T04:20:35.7786340Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7786380Z     
2025-07-24T04:20:35.7786530Z     Context passed to policy function during selective checkpointing.
2025-07-24T04:20:35.7786570Z     
2025-07-24T04:20:35.7786700Z     This class is used to pass relevant metadata to the policy function during
2025-07-24T04:20:35.7786880Z     selective checkpointing. The metadata includes whether the current invocation
2025-07-24T04:20:35.7786990Z     of the policy function is during recomputation or not.
2025-07-24T04:20:35.7787030Z     
2025-07-24T04:20:35.7787070Z     Example:
2025-07-24T04:20:35.7787130Z         >>> # xdoctest: +SKIP(stub)
2025-07-24T04:20:35.7787170Z         >>>
2025-07-24T04:20:35.7787250Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-07-24T04:20:35.7787310Z         >>>    print(ctx.is_recompute)
2025-07-24T04:20:35.7787350Z         >>>
2025-07-24T04:20:35.7787520Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-07-24T04:20:35.7787560Z         >>>
2025-07-24T04:20:35.7787650Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-07-24T04:20:35.7787700Z         >>>     fn, x, y,
2025-07-24T04:20:35.7787750Z         >>>     use_reentrant=False,
2025-07-24T04:20:35.7787810Z         >>>     context_fn=context_fn,
2025-07-24T04:20:35.7787850Z         >>> )
2025-07-24T04:20:35.7787900Z     
2025-07-24T04:20:35.7788050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7788090Z     
2025-07-24T04:20:35.7788140Z       warnings.warn(msg)
2025-07-24T04:20:35.7788180Z     
2025-07-24T04:20:35.7788290Z --- Parse Warning: 108 / 136 ---
2025-07-24T04:20:35.7789000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-07-24T04:20:35.7789160Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7789200Z     
2025-07-24T04:20:35.7789340Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-07-24T04:20:35.7789380Z     
2025-07-24T04:20:35.7789520Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-07-24T04:20:35.7789610Z     operations are recomputed during the backward pass.
2025-07-24T04:20:35.7789660Z     
2025-07-24T04:20:35.7789700Z     Args:
2025-07-24T04:20:35.7789770Z         policy_fn_or_list (Callable or List):
2025-07-24T04:20:35.7789870Z           - If a policy function is provided, it should accept a
2025-07-24T04:20:35.7790020Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-07-24T04:20:35.7790150Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-07-24T04:20:35.7790290Z             indicating whether the execution of the op should be recomputed or not.
2025-07-24T04:20:35.7790420Z           - If a list of operations is provided, it is equivalent to a policy
2025-07-24T04:20:35.7790540Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-07-24T04:20:35.7790670Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-07-24T04:20:35.7790720Z             operations.
2025-07-24T04:20:35.7790850Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-07-24T04:20:35.7791010Z             raised if any tensors cached by selective activation checkpoint are
2025-07-24T04:20:35.7791130Z             mutated in order to ensure correctness. If set to `True`, this check
2025-07-24T04:20:35.7791180Z             is disabled.
2025-07-24T04:20:35.7791230Z     Returns:
2025-07-24T04:20:35.7791290Z         A tuple of two context managers.
2025-07-24T04:20:35.7791330Z     
2025-07-24T04:20:35.7791390Z     Example:
2025-07-24T04:20:35.7791460Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-07-24T04:20:35.7791510Z         >>> import functools
2025-07-24T04:20:35.7791550Z         >>>
2025-07-24T04:20:35.7791660Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-07-24T04:20:35.7791730Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-07-24T04:20:35.7791770Z         >>>
2025-07-24T04:20:35.7791840Z         >>> ops_to_save = [
2025-07-24T04:20:35.7791910Z         >>>    torch.ops.aten.mm.default,
2025-07-24T04:20:35.7791950Z         >>> ]
2025-07-24T04:20:35.7791990Z         >>>
2025-07-24T04:20:35.7792070Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-07-24T04:20:35.7792130Z         >>>    if op in ops_to_save:
2025-07-24T04:20:35.7792210Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-07-24T04:20:35.7792250Z         >>>    else:
2025-07-24T04:20:35.7792340Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-07-24T04:20:35.7792380Z         >>>
2025-07-24T04:20:35.7792550Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-07-24T04:20:35.7792590Z         >>>
2025-07-24T04:20:35.7792640Z         >>> # or equivalently
2025-07-24T04:20:35.7792810Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-07-24T04:20:35.7792850Z         >>>
2025-07-24T04:20:35.7792900Z         >>> def fn(x, y):
2025-07-24T04:20:35.7793030Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-07-24T04:20:35.7793070Z         >>>
2025-07-24T04:20:35.7793160Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-07-24T04:20:35.7793210Z         >>>     fn, x, y,
2025-07-24T04:20:35.7793260Z         >>>     use_reentrant=False,
2025-07-24T04:20:35.7793320Z         >>>     context_fn=context_fn,
2025-07-24T04:20:35.7793360Z         >>> )
2025-07-24T04:20:35.7793400Z     
2025-07-24T04:20:35.7793550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7793600Z     
2025-07-24T04:20:35.7793650Z       warnings.warn(msg)
2025-07-24T04:20:35.7793690Z     
2025-07-24T04:20:35.7793790Z --- Parse Warning: 109 / 136 ---
2025-07-24T04:20:35.7794490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-07-24T04:20:35.7794650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7794690Z     
2025-07-24T04:20:35.7794870Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-07-24T04:20:35.7794910Z     
2025-07-24T04:20:35.7795090Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-07-24T04:20:35.7795240Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-07-24T04:20:35.7795380Z     server like load. It can emulate multiple calling threads to a single module
2025-07-24T04:20:35.7795520Z     provided. In the future we plan to enhance this component to support inter and
2025-07-24T04:20:35.7795670Z     intra-op parallelism as well as multiple models running in a single process.
2025-07-24T04:20:35.7795710Z     
2025-07-24T04:20:35.7795860Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-07-24T04:20:35.7796020Z     from the need to hold GIL every time we execute Python code or pass around
2025-07-24T04:20:35.7796170Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-07-24T04:20:35.7796310Z     model for inference deployment it is better to switch to using it in this
2025-07-24T04:20:35.7796350Z     benchmark.
2025-07-24T04:20:35.7796390Z     
2025-07-24T04:20:35.7796440Z     Example::
2025-07-24T04:20:35.7796500Z     
2025-07-24T04:20:35.7796570Z         >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7796660Z         >>> from torch.utils import ThroughputBenchmark
2025-07-24T04:20:35.7796740Z         >>> bench = ThroughputBenchmark(my_module)
2025-07-24T04:20:35.7796850Z         >>> # Pre-populate benchmark's data set with the inputs
2025-07-24T04:20:35.7796910Z         >>> for input in inputs:
2025-07-24T04:20:35.7797080Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-07-24T04:20:35.7797160Z         ...     bench.add_input(input[0], x2=input[1])
2025-07-24T04:20:35.7797280Z         >>> # Inputs supplied above are randomly used during the execution
2025-07-24T04:20:35.7797340Z         >>> stats = bench.benchmark(
2025-07-24T04:20:35.7797400Z         ...     num_calling_threads=4,
2025-07-24T04:20:35.7797460Z         ...     num_warmup_iters = 100,
2025-07-24T04:20:35.7797510Z         ...     num_iters = 1000,
2025-07-24T04:20:35.7797550Z         ... )
2025-07-24T04:20:35.7797660Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-07-24T04:20:35.7797770Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-07-24T04:20:35.7797810Z     
2025-07-24T04:20:35.7797960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7798000Z     
2025-07-24T04:20:35.7798050Z       warnings.warn(msg)
2025-07-24T04:20:35.7798100Z     
2025-07-24T04:20:35.7798200Z --- Parse Warning: 110 / 136 ---
2025-07-24T04:20:35.7798870Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-07-24T04:20:35.7799020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7799110Z     Register a container-like type as pytree node.
2025-07-24T04:20:35.7799150Z     
2025-07-24T04:20:35.7799190Z         Args:
2025-07-24T04:20:35.7799310Z             cls (type): A Python type to treat as an internal pytree node.
2025-07-24T04:20:35.7799480Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-07-24T04:20:35.7799630Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-07-24T04:20:35.7799810Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-07-24T04:20:35.7799880Z                 passed to the ``unflatten_fn``.
2025-07-24T04:20:35.7800040Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-07-24T04:20:35.7800200Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-07-24T04:20:35.7800300Z                 The function should return an instance of ``cls``.
2025-07-24T04:20:35.7800470Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-07-24T04:20:35.7800570Z                 qualified name used when serializing the tree spec.
2025-07-24T04:20:35.7800760Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-07-24T04:20:35.7800920Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-07-24T04:20:35.7801090Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-07-24T04:20:35.7801290Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-07-24T04:20:35.7801450Z                 how to convert the custom json dumpable representation of the context back to the
2025-07-24T04:20:35.7801610Z                 original context. This is used for json deserialization, which is being used in
2025-07-24T04:20:35.7801700Z                 :mod:`torch.export` right now.
2025-07-24T04:20:35.7801740Z     
2025-07-24T04:20:35.7801780Z         Example::
2025-07-24T04:20:35.7801820Z     
2025-07-24T04:20:35.7801880Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7801990Z             >>> # Registry a Python type with lambda functions
2025-07-24T04:20:35.7802050Z             >>> register_pytree_node(
2025-07-24T04:20:35.7802100Z             ...     set,
2025-07-24T04:20:35.7802200Z             ...     lambda s: (sorted(s), None, None),
2025-07-24T04:20:35.7802280Z             ...     lambda children, _: set(children),
2025-07-24T04:20:35.7802320Z             ... )
2025-07-24T04:20:35.7802360Z         
2025-07-24T04:20:35.7802510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7802550Z     
2025-07-24T04:20:35.7802600Z       warnings.warn(msg)
2025-07-24T04:20:35.7802640Z     
2025-07-24T04:20:35.7802740Z --- Parse Warning: 111 / 136 ---
2025-07-24T04:20:35.7803410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1147.
2025-07-24T04:20:35.7803570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7803610Z     
2025-07-24T04:20:35.7803690Z     Create a :class:`setuptools.Extension` for C++.
2025-07-24T04:20:35.7803740Z     
2025-07-24T04:20:35.7803880Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:35.7804020Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-07-24T04:20:35.7804060Z     
2025-07-24T04:20:35.7804190Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:35.7804280Z     constructor. Full list arguments can be found at
2025-07-24T04:20:35.7804470Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-07-24T04:20:35.7804510Z     
2025-07-24T04:20:35.7804560Z     .. warning::
2025-07-24T04:20:35.7804700Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:35.7804830Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:35.7804960Z         the user's responsibility in their library to not use APIs from
2025-07-24T04:20:35.7805100Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:35.7805240Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:35.7805360Z         example, to give access to custom ops from python, the library should
2025-07-24T04:20:35.7805440Z         register the ops through the dispatcher.
2025-07-24T04:20:35.7805480Z     
2025-07-24T04:20:35.7805610Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:35.7805740Z         as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:35.7805870Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:35.7806000Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:35.7806130Z         safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:35.7806260Z         different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:35.7806350Z         CPython version of choice.
2025-07-24T04:20:35.7806390Z     
2025-07-24T04:20:35.7806440Z     Example:
2025-07-24T04:20:35.7806490Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7806580Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:35.7806650Z         >>> from setuptools import setup
2025-07-24T04:20:35.7806780Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-07-24T04:20:35.7806850Z         >>> setup(
2025-07-24T04:20:35.7806910Z         ...     name='extension',
2025-07-24T04:20:35.7806960Z         ...     ext_modules=[
2025-07-24T04:20:35.7807020Z         ...         CppExtension(
2025-07-24T04:20:35.7807090Z         ...             name='extension',
2025-07-24T04:20:35.7807160Z         ...             sources=['extension.cpp'],
2025-07-24T04:20:35.7807230Z         ...             extra_compile_args=['-g'],
2025-07-24T04:20:35.7807350Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-07-24T04:20:35.7807400Z         ...     ],
2025-07-24T04:20:35.7807450Z         ...     cmdclass={
2025-07-24T04:20:35.7807510Z         ...         'build_ext': BuildExtension
2025-07-24T04:20:35.7807560Z         ...     })
2025-07-24T04:20:35.7807600Z     
2025-07-24T04:20:35.7807750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7807790Z     
2025-07-24T04:20:35.7807840Z       warnings.warn(msg)
2025-07-24T04:20:35.7807880Z     
2025-07-24T04:20:35.7807980Z --- Parse Warning: 112 / 136 ---
2025-07-24T04:20:35.7808650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1217.
2025-07-24T04:20:35.7808810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7808850Z     
2025-07-24T04:20:35.7808950Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-07-24T04:20:35.7808990Z     
2025-07-24T04:20:35.7809140Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:35.7809260Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-07-24T04:20:35.7809400Z     extension. This includes the CUDA include path, library path and runtime
2025-07-24T04:20:35.7809440Z     library.
2025-07-24T04:20:35.7809480Z     
2025-07-24T04:20:35.7809610Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:35.7809700Z     constructor. Full list arguments can be found at
2025-07-24T04:20:35.7809900Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-07-24T04:20:35.7809940Z     
2025-07-24T04:20:35.7809980Z     .. warning::
2025-07-24T04:20:35.7810130Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:35.7810260Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:35.7810380Z         the user's responsibility in their library to not use APIs from
2025-07-24T04:20:35.7810520Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:35.7810650Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:35.7810780Z         example, to give access to custom ops from python, the library should
2025-07-24T04:20:35.7810860Z         register the ops through the dispatcher.
2025-07-24T04:20:35.7810900Z     
2025-07-24T04:20:35.7811040Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:35.7811160Z         as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:35.7811290Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:35.7811420Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:35.7814180Z         safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:35.7814310Z         different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:35.7814370Z         CPython version of choice.
2025-07-24T04:20:35.7814410Z     
2025-07-24T04:20:35.7814460Z     Example:
2025-07-24T04:20:35.7814510Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7814610Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:35.7814720Z         >>> from setuptools import setup
2025-07-24T04:20:35.7814860Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-07-24T04:20:35.7814930Z         >>> setup(
2025-07-24T04:20:35.7815000Z         ...     name='cuda_extension',
2025-07-24T04:20:35.7815050Z         ...     ext_modules=[
2025-07-24T04:20:35.7815120Z         ...         CUDAExtension(
2025-07-24T04:20:35.7815200Z         ...                 name='cuda_extension',
2025-07-24T04:20:35.7815300Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:35.7815380Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-07-24T04:20:35.7815460Z         ...                                     'nvcc': ['-O2']},
2025-07-24T04:20:35.7815560Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-07-24T04:20:35.7815600Z         ...     ],
2025-07-24T04:20:35.7815650Z         ...     cmdclass={
2025-07-24T04:20:35.7815720Z         ...         'build_ext': BuildExtension
2025-07-24T04:20:35.7815760Z         ...     })
2025-07-24T04:20:35.7815800Z     
2025-07-24T04:20:35.7815860Z     Compute capabilities:
2025-07-24T04:20:35.7815900Z     
2025-07-24T04:20:35.7816080Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-07-24T04:20:35.7816260Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-07-24T04:20:35.7816430Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-07-24T04:20:35.7816620Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-07-24T04:20:35.7816790Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-07-24T04:20:35.7816860Z     support (see below for details on PTX).
2025-07-24T04:20:35.7816900Z     
2025-07-24T04:20:35.7817090Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-07-24T04:20:35.7817150Z     CCs you want the extension to support:
2025-07-24T04:20:35.7817200Z     
2025-07-24T04:20:35.7817310Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-07-24T04:20:35.7817460Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-07-24T04:20:35.7817500Z     
2025-07-24T04:20:35.7817690Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-07-24T04:20:35.7817880Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-07-24T04:20:35.7818060Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-07-24T04:20:35.7818240Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-07-24T04:20:35.7818430Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-07-24T04:20:35.7818600Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-07-24T04:20:35.7818790Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-07-24T04:20:35.7818980Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-07-24T04:20:35.7819030Z     "8.0 8.6" would be better.
2025-07-24T04:20:35.7819100Z     
2025-07-24T04:20:35.7819280Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-07-24T04:20:35.7819450Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-07-24T04:20:35.7819490Z     
2025-07-24T04:20:35.7819690Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-07-24T04:20:35.7819840Z     To workaround the issue, move python binding logic to pure C++ file.
2025-07-24T04:20:35.7819890Z     
2025-07-24T04:20:35.7819930Z     Example use:
2025-07-24T04:20:35.7819990Z         #include <ATen/ATen.h>
2025-07-24T04:20:35.7820100Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-07-24T04:20:35.7820150Z     
2025-07-24T04:20:35.7820190Z     Instead of:
2025-07-24T04:20:35.7820250Z         #include <torch/extension.h>
2025-07-24T04:20:35.7820380Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-07-24T04:20:35.7820430Z     
2025-07-24T04:20:35.7820600Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-07-24T04:20:35.7820900Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-07-24T04:20:35.7820940Z     
2025-07-24T04:20:35.7821000Z     Relocatable device code linking:
2025-07-24T04:20:35.7821040Z     
2025-07-24T04:20:35.7821210Z     If you want to reference device symbols across compilation units (across object files),
2025-07-24T04:20:35.7821370Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-07-24T04:20:35.7821580Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-07-24T04:20:35.7821790Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-07-24T04:20:35.7821980Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-07-24T04:20:35.7822090Z     helps reduce the protentional perf degradation of `-rdc`.
2025-07-24T04:20:35.7822200Z     Note that it needs to be used at both steps to be useful.
2025-07-24T04:20:35.7822240Z     
2025-07-24T04:20:35.7822460Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-07-24T04:20:35.7822570Z     There is also a case where `-dlink` is used without `-rdc`:
2025-07-24T04:20:35.7822720Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-07-24T04:20:35.7822850Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-07-24T04:20:35.7822890Z     
2025-07-24T04:20:35.7823020Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-07-24T04:20:35.7823060Z     
2025-07-24T04:20:35.7823100Z     Example:
2025-07-24T04:20:35.7823160Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7823250Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:35.7823300Z         >>> CUDAExtension(
2025-07-24T04:20:35.7823360Z         ...        name='cuda_extension',
2025-07-24T04:20:35.7823470Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:35.7823520Z         ...        dlink=True,
2025-07-24T04:20:35.7823590Z         ...        dlink_libraries=["dlink_lib"],
2025-07-24T04:20:35.7823660Z         ...        extra_compile_args={'cxx': ['-g'],
2025-07-24T04:20:35.7823740Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-07-24T04:20:35.7823780Z     
2025-07-24T04:20:35.7823940Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7823980Z     
2025-07-24T04:20:35.7824030Z       warnings.warn(msg)
2025-07-24T04:20:35.7824070Z     
2025-07-24T04:20:35.7824190Z --- Parse Warning: 113 / 136 ---
2025-07-24T04:20:35.7824860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1408.
2025-07-24T04:20:35.7825040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7825080Z     
2025-07-24T04:20:35.7825180Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-07-24T04:20:35.7825240Z     
2025-07-24T04:20:35.7825390Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-07-24T04:20:35.7825510Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-07-24T04:20:35.7825570Z     extension.
2025-07-24T04:20:35.7825620Z     
2025-07-24T04:20:35.7825740Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-07-24T04:20:35.7825810Z     constructor.
2025-07-24T04:20:35.7825850Z     
2025-07-24T04:20:35.7825890Z     .. warning::
2025-07-24T04:20:35.7826040Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-07-24T04:20:35.7826170Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-07-24T04:20:35.7826290Z         the user's responsibility in their library to not use APIs from
2025-07-24T04:20:35.7826420Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-07-24T04:20:35.7826560Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-07-24T04:20:35.7826690Z         example, to give access to custom ops from python, the library should
2025-07-24T04:20:35.7826770Z         register the ops through the dispatcher.
2025-07-24T04:20:35.7826810Z     
2025-07-24T04:20:35.7826940Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-07-24T04:20:35.7827070Z         as a compile flag when py_limited_api is specified as an option for
2025-07-24T04:20:35.7827200Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-07-24T04:20:35.7827330Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-07-24T04:20:35.7827460Z         safety, and sanity in order to encourage best practices. To target a
2025-07-24T04:20:35.7827590Z         different version, set min_supported_cpython to the hexcode of the
2025-07-24T04:20:35.7827650Z         CPython version of choice.
2025-07-24T04:20:35.7827690Z     
2025-07-24T04:20:35.7827740Z     Example:
2025-07-24T04:20:35.7827790Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7827880Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:35.7828020Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-07-24T04:20:35.7828060Z         >>> setup(
2025-07-24T04:20:35.7828120Z         ...     name='xpu_extension',
2025-07-24T04:20:35.7828170Z         ...     ext_modules=[
2025-07-24T04:20:35.7828230Z         ...     SyclExtension(
2025-07-24T04:20:35.7828300Z         ...                 name='xpu_extension',
2025-07-24T04:20:35.7828400Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-07-24T04:20:35.7828520Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-07-24T04:20:35.7828560Z         ...     ],
2025-07-24T04:20:35.7828610Z         ...     cmdclass={
2025-07-24T04:20:35.7828680Z         ...         'build_ext': BuildExtension
2025-07-24T04:20:35.7828720Z         ...     })
2025-07-24T04:20:35.7828760Z     
2025-07-24T04:20:35.7828940Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-07-24T04:20:35.7829100Z     building process of the extension. If down the road a new card is installed the
2025-07-24T04:20:35.7829250Z     extension may need to be recompiled. You can override the default behavior using
2025-07-24T04:20:35.7829440Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-07-24T04:20:35.7829520Z     to support:
2025-07-24T04:20:35.7829560Z     
2025-07-24T04:20:35.7829690Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-07-24T04:20:35.7829730Z     
2025-07-24T04:20:35.7829910Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-07-24T04:20:35.7830080Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-07-24T04:20:35.7830150Z     
2025-07-24T04:20:35.7830240Z     Note: Ninja is required to build SyclExtension.
2025-07-24T04:20:35.7830280Z     
2025-07-24T04:20:35.7830430Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7830490Z     
2025-07-24T04:20:35.7830540Z       warnings.warn(msg)
2025-07-24T04:20:35.7830580Z     
2025-07-24T04:20:35.7830680Z --- Parse Warning: 114 / 136 ---
2025-07-24T04:20:35.7831350Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1585.
2025-07-24T04:20:35.7831510Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7831550Z     
2025-07-24T04:20:35.7831640Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-07-24T04:20:35.7831680Z     
2025-07-24T04:20:35.7831810Z     To load an extension, a Ninja build file is emitted, which is used to
2025-07-24T04:20:35.7831930Z     compile the given sources into a dynamic library. This library is
2025-07-24T04:20:35.7832070Z     subsequently loaded into the current Python process as a module and
2025-07-24T04:20:35.7832140Z     returned from this function, ready for use.
2025-07-24T04:20:35.7832180Z     
2025-07-24T04:20:35.7832310Z     By default, the directory to which the build file is emitted and the
2025-07-24T04:20:35.7832450Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-07-24T04:20:35.7832570Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-07-24T04:20:35.7832700Z     the name of the extension. This location can be overridden in two ways.
2025-07-24T04:20:35.7832830Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-07-24T04:20:35.7832960Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-07-24T04:20:35.7833100Z     into subfolders of this directory. Second, if the ``build_directory``
2025-07-24T04:20:35.7833230Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-07-24T04:20:35.7833340Z     the library will be compiled into that folder directly.
2025-07-24T04:20:35.7833380Z     
2025-07-24T04:20:35.7833510Z     To compile the sources, the default system compiler (``c++``) is used,
2025-07-24T04:20:35.7833660Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-07-24T04:20:35.7833800Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-07-24T04:20:35.7833930Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-07-24T04:20:35.7834060Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-07-24T04:20:35.7834150Z     ``extra_cflags`` to pass further include directories.
2025-07-24T04:20:35.7834200Z     
2025-07-24T04:20:35.7834340Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-07-24T04:20:35.7834450Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-07-24T04:20:35.7834600Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-07-24T04:20:35.7834730Z     passing the CUDA lib64 directory as a library directory, and linking
2025-07-24T04:20:35.7834820Z     ``cudart``. You can pass additional flags to nvcc via
2025-07-24T04:20:35.7834950Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-07-24T04:20:35.7835120Z     heuristics for finding the CUDA install directory are used, which usually
2025-07-24T04:20:35.7835250Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-07-24T04:20:35.7835290Z     safest option.
2025-07-24T04:20:35.7835330Z     
2025-07-24T04:20:35.7835470Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-07-24T04:20:35.7835590Z     files (``.sycl``) along with other sources. Such files will be detected
2025-07-24T04:20:35.7835750Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-07-24T04:20:35.7835900Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-07-24T04:20:35.7836020Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-07-24T04:20:35.7836160Z     SYCL compiler is expected to be found via system PATH environment
2025-07-24T04:20:35.7836210Z     variable.
2025-07-24T04:20:35.7836250Z     
2025-07-24T04:20:35.7836290Z     Args:
2025-07-24T04:20:35.7836420Z         name: The name of the extension to build. This MUST be the same as the
2025-07-24T04:20:35.7836490Z             name of the pybind11 module!
2025-07-24T04:20:35.7836610Z         sources: A list of relative or absolute paths to C++ source files.
2025-07-24T04:20:35.7836740Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-07-24T04:20:35.7836870Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-07-24T04:20:35.7836940Z             when building CUDA sources.
2025-07-24T04:20:35.7837070Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-07-24T04:20:35.7837140Z             compiler when building SYCL sources.
2025-07-24T04:20:35.7837270Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-07-24T04:20:35.7837400Z         extra_include_paths: optional list of include directories to forward
2025-07-24T04:20:35.7837450Z             to the build.
2025-07-24T04:20:35.7837560Z         build_directory: optional path to use as build workspace.
2025-07-24T04:20:35.7837670Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-07-24T04:20:35.7837800Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-07-24T04:20:35.7837900Z             the build. If set to ``None`` (default), this value is
2025-07-24T04:20:35.7838030Z             automatically determined based on the existence of ``.cu`` or
2025-07-24T04:20:35.7838130Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-07-24T04:20:35.7838200Z             and libraries to be included.
2025-07-24T04:20:35.7838330Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-07-24T04:20:35.7838430Z             the build. If set to ``None`` (default), this value is
2025-07-24T04:20:35.7838560Z             automatically determined based on the existence of ``.sycl`` in
2025-07-24T04:20:35.7838660Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-07-24T04:20:35.7838720Z             libraries to be included.
2025-07-24T04:20:35.7838850Z         is_python_module: If ``True`` (default), imports the produced shared
2025-07-24T04:20:35.7838960Z             library as a Python module. If ``False``, behavior depends on
2025-07-24T04:20:35.7839010Z             ``is_standalone``.
2025-07-24T04:20:35.7839140Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-07-24T04:20:35.7839260Z             into the process as a plain dynamic library. If ``True``, build a
2025-07-24T04:20:35.7839320Z             standalone executable.
2025-07-24T04:20:35.7839360Z     
2025-07-24T04:20:35.7839400Z     Returns:
2025-07-24T04:20:35.7839470Z         If ``is_python_module`` is ``True``:
2025-07-24T04:20:35.7839570Z             Returns the loaded PyTorch extension as a Python module.
2025-07-24T04:20:35.7839620Z     
2025-07-24T04:20:35.7839760Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-07-24T04:20:35.7839890Z             Returns nothing. (The shared library is loaded into the process as
2025-07-24T04:20:35.7839940Z             a side effect.)
2025-07-24T04:20:35.7839990Z     
2025-07-24T04:20:35.7840050Z         If ``is_standalone`` is ``True``.
2025-07-24T04:20:35.7840170Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-07-24T04:20:35.7840300Z             added to the PATH environment variable as a side effect.)
2025-07-24T04:20:35.7840340Z     
2025-07-24T04:20:35.7840380Z     Example:
2025-07-24T04:20:35.7840440Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7840540Z         >>> from torch.utils.cpp_extension import load
2025-07-24T04:20:35.7840590Z         >>> module = load(
2025-07-24T04:20:35.7840650Z         ...     name='extension',
2025-07-24T04:20:35.7840780Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-07-24T04:20:35.7840840Z         ...     extra_cflags=['-O2'],
2025-07-24T04:20:35.7840890Z         ...     verbose=True)
2025-07-24T04:20:35.7840930Z     
2025-07-24T04:20:35.7841080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7841120Z     
2025-07-24T04:20:35.7841170Z       warnings.warn(msg)
2025-07-24T04:20:35.7841210Z     
2025-07-24T04:20:35.7841320Z --- Parse Warning: 115 / 136 ---
2025-07-24T04:20:35.7841980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1890.
2025-07-24T04:20:35.7842140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7842180Z     
2025-07-24T04:20:35.7842310Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-07-24T04:20:35.7842350Z     
2025-07-24T04:20:35.7842490Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-07-24T04:20:35.7842630Z     strings rather than filenames. These strings are stored to files in the
2025-07-24T04:20:35.7842760Z     build directory, after which the behavior of :func:`load_inline` is
2025-07-24T04:20:35.7842810Z     identical to :func:`load`.
2025-07-24T04:20:35.7842860Z     
2025-07-24T04:20:35.7842900Z     See `the
2025-07-24T04:20:35.7843090Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-07-24T04:20:35.7843160Z     for good examples of using this function.
2025-07-24T04:20:35.7843200Z     
2025-07-24T04:20:35.7843340Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-07-24T04:20:35.7843490Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-07-24T04:20:35.7843640Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-07-24T04:20:35.7843750Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-07-24T04:20:35.7843810Z     <torch/extension.h>``
2025-07-24T04:20:35.7843850Z     
2025-07-24T04:20:35.7843990Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-07-24T04:20:35.7844120Z     automatically generated for each function specified. ``functions`` can
2025-07-24T04:20:35.7844260Z     either be a list of function names, or a dictionary mapping from function
2025-07-24T04:20:35.7844390Z     names to docstrings. If a list is given, the name of each function is used
2025-07-24T04:20:35.7844440Z     as its docstring.
2025-07-24T04:20:35.7844480Z     
2025-07-24T04:20:35.7844610Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-07-24T04:20:35.7844720Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-07-24T04:20:35.7844850Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-07-24T04:20:35.7845010Z     separately, but ultimately linked into a single library. Note that no
2025-07-24T04:20:35.7845150Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-07-24T04:20:35.7845280Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-07-24T04:20:35.7845410Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-07-24T04:20:35.7845470Z     include its name in ``functions``).
2025-07-24T04:20:35.7845520Z     
2025-07-24T04:20:35.7845660Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-07-24T04:20:35.7845790Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-07-24T04:20:35.7845930Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-07-24T04:20:35.7846060Z     linked into a single library. Note that no bindings are generated for
2025-07-24T04:20:35.7846210Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-07-24T04:20:35.7846350Z     create a C++ function that calls it, and either declare or define this
2025-07-24T04:20:35.7846460Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-07-24T04:20:35.7846510Z     in ``functions``).
2025-07-24T04:20:35.7846550Z     
2025-07-24T04:20:35.7846590Z     
2025-07-24T04:20:35.7846630Z     
2025-07-24T04:20:35.7846750Z     See :func:`load` for a description of arguments omitted below.
2025-07-24T04:20:35.7846790Z     
2025-07-24T04:20:35.7846830Z     Args:
2025-07-24T04:20:35.7846960Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-07-24T04:20:35.7847100Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-07-24T04:20:35.7847230Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-07-24T04:20:35.7847360Z         functions: A list of function names for which to generate function
2025-07-24T04:20:35.7847490Z             bindings. If a dictionary is given, it should map function names to
2025-07-24T04:20:35.7847610Z             docstrings (which are otherwise just the function names).
2025-07-24T04:20:35.7847740Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-07-24T04:20:35.7847840Z             the build. If set to ``None`` (default), this value is
2025-07-24T04:20:35.7847960Z             automatically determined based on whether ``cuda_sources`` is
2025-07-24T04:20:35.7848060Z             provided. Set it to ``True`` to force CUDA headers
2025-07-24T04:20:35.7848120Z             and libraries to be included.
2025-07-24T04:20:35.7848250Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-07-24T04:20:35.7848350Z             the build. If set to ``None`` (default), this value is
2025-07-24T04:20:35.7848470Z             automatically determined based on whether ``sycl_sources`` is
2025-07-24T04:20:35.7848570Z             provided. Set it to ``True`` to force SYCL headers
2025-07-24T04:20:35.7848630Z             and libraries to be included.
2025-07-24T04:20:35.7848760Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-07-24T04:20:35.7848880Z             warning macros are handled by pytorch instead of pybind. To do
2025-07-24T04:20:35.7849010Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-07-24T04:20:35.7849130Z             function. This redirection might cause issues in obscure cases
2025-07-24T04:20:35.7849240Z             of cpp. This flag should be set to ``False`` when this redirect
2025-07-24T04:20:35.7849290Z             causes issues.
2025-07-24T04:20:35.7849450Z         no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-07-24T04:20:35.7849590Z             ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-07-24T04:20:35.7849690Z             Use this option to improve cold start times when you
2025-07-24T04:20:35.7849850Z             already include the necessary headers in your source code. Default: ``False``.
2025-07-24T04:20:35.7849920Z     
2025-07-24T04:20:35.7849960Z     Example:
2025-07-24T04:20:35.7850060Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-07-24T04:20:35.7850150Z         >>> from torch.utils.cpp_extension import load_inline
2025-07-24T04:20:35.7850200Z         >>> source = """
2025-07-24T04:20:35.7850290Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-07-24T04:20:35.7850440Z           return x.sin() + y.sin();
2025-07-24T04:20:35.7850490Z         }
2025-07-24T04:20:35.7850530Z         """
2025-07-24T04:20:35.7850610Z         >>> module = load_inline(name='inline_extension',
2025-07-24T04:20:35.7850700Z         ...                      cpp_sources=[source],
2025-07-24T04:20:35.7850780Z         ...                      functions=['sin_add'])
2025-07-24T04:20:35.7850820Z     
2025-07-24T04:20:35.7850890Z     .. note::
2025-07-24T04:20:35.7851030Z         Since load_inline will just-in-time compile the source code, please ensure
2025-07-24T04:20:35.7851170Z         that you have the right toolchains installed in the runtime. For example,
2025-07-24T04:20:35.7851300Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-07-24T04:20:35.7851450Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-07-24T04:20:35.7851600Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-07-24T04:20:35.7851750Z         are not included when you install torch and must be additionally installed.
2025-07-24T04:20:35.7851790Z     
2025-07-24T04:20:35.7851940Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-07-24T04:20:35.7852070Z         the extension. This may use up too many resources on some systems. One
2025-07-24T04:20:35.7852210Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-07-24T04:20:35.7852280Z         variable to a non-negative number.
2025-07-24T04:20:35.7852320Z     
2025-07-24T04:20:35.7852470Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7852510Z     
2025-07-24T04:20:35.7852570Z       warnings.warn(msg)
2025-07-24T04:20:35.7852610Z     
2025-07-24T04:20:35.7852710Z --- Parse Warning: 116 / 136 ---
2025-07-24T04:20:35.7853400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-07-24T04:20:35.7853560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7853680Z     Sampler that restricts data loading to a subset of the dataset.
2025-07-24T04:20:35.7853720Z     
2025-07-24T04:20:35.7853800Z         It is especially useful in conjunction with
2025-07-24T04:20:35.7853960Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-07-24T04:20:35.7854120Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-07-24T04:20:35.7854260Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-07-24T04:20:35.7854340Z         original dataset that is exclusive to it.
2025-07-24T04:20:35.7854380Z     
2025-07-24T04:20:35.7854420Z         .. note::
2025-07-24T04:20:35.7854570Z             Dataset is assumed to be of constant size and that any instance of it always
2025-07-24T04:20:35.7854660Z             returns the same elements in the same order.
2025-07-24T04:20:35.7854700Z     
2025-07-24T04:20:35.7854740Z         Args:
2025-07-24T04:20:35.7854810Z             dataset: Dataset used for sampling.
2025-07-24T04:20:35.7854940Z             num_replicas (int, optional): Number of processes participating in
2025-07-24T04:20:35.7855090Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-07-24T04:20:35.7855180Z                 current distributed group.
2025-07-24T04:20:35.7855330Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-07-24T04:20:35.7855450Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-07-24T04:20:35.7855500Z                 group.
2025-07-24T04:20:35.7855640Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-07-24T04:20:35.7855710Z                 indices.
2025-07-24T04:20:35.7855830Z             seed (int, optional): random seed used to shuffle the sampler if
2025-07-24T04:20:35.7855980Z                 :attr:`shuffle=True`. This number should be identical across all
2025-07-24T04:20:35.7856090Z                 processes in the distributed group. Default: ``0``.
2025-07-24T04:20:35.7856230Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-07-24T04:20:35.7856360Z                 tail of the data to make it evenly divisible across the number of
2025-07-24T04:20:35.7856480Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-07-24T04:20:35.7856610Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-07-24T04:20:35.7856650Z     
2025-07-24T04:20:35.7856690Z         .. warning::
2025-07-24T04:20:35.7856810Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-07-24T04:20:35.7856970Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-07-24T04:20:35.7857130Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-07-24T04:20:35.7857200Z             the same ordering will be always used.
2025-07-24T04:20:35.7857240Z     
2025-07-24T04:20:35.7857290Z         Example::
2025-07-24T04:20:35.7857330Z     
2025-07-24T04:20:35.7857390Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7857520Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-07-24T04:20:35.7857630Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-07-24T04:20:35.7857710Z             ...                     sampler=sampler)
2025-07-24T04:20:35.7857790Z             >>> for epoch in range(start_epoch, n_epochs):
2025-07-24T04:20:35.7857850Z             ...     if is_distributed:
2025-07-24T04:20:35.7857910Z             ...         sampler.set_epoch(epoch)
2025-07-24T04:20:35.7857970Z             ...     train(loader)
2025-07-24T04:20:35.7858010Z         
2025-07-24T04:20:35.7858160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7858200Z     
2025-07-24T04:20:35.7858260Z       warnings.warn(msg)
2025-07-24T04:20:35.7858300Z     
2025-07-24T04:20:35.7858400Z --- Parse Warning: 117 / 136 ---
2025-07-24T04:20:35.7859070Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-07-24T04:20:35.7859230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7859320Z     Asserts that ``actual`` and ``expected`` are close.
2025-07-24T04:20:35.7859360Z     
2025-07-24T04:20:35.7859580Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-07-24T04:20:35.7859630Z     
2025-07-24T04:20:35.7859670Z         .. math::
2025-07-24T04:20:35.7859710Z     
2025-07-24T04:20:35.7859930Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-07-24T04:20:35.7859970Z     
2025-07-24T04:20:35.7860180Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-07-24T04:20:35.7860330Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-07-24T04:20:35.7860370Z     
2025-07-24T04:20:35.7860500Z         In addition, they are only considered close if they have the same
2025-07-24T04:20:35.7860540Z     
2025-07-24T04:20:35.7860660Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-07-24T04:20:35.7860740Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-07-24T04:20:35.7860850Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-07-24T04:20:35.7860920Z         - stride (if ``check_stride`` is ``True``).
2025-07-24T04:20:35.7860960Z     
2025-07-24T04:20:35.7861160Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-07-24T04:20:35.7861210Z     
2025-07-24T04:20:35.7861450Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-07-24T04:20:35.7861680Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-07-24T04:20:35.7861820Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-07-24T04:20:35.7862050Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-07-24T04:20:35.7862090Z     
2025-07-24T04:20:35.7862260Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-07-24T04:20:35.7862470Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-07-24T04:20:35.7862530Z         definition above.
2025-07-24T04:20:35.7862570Z     
2025-07-24T04:20:35.7862760Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-07-24T04:20:35.7862980Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-07-24T04:20:35.7863200Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-07-24T04:20:35.7863420Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-07-24T04:20:35.7863560Z         their elements are considered close according to the above definition.
2025-07-24T04:20:35.7863600Z     
2025-07-24T04:20:35.7863650Z         .. note::
2025-07-24T04:20:35.7863690Z     
2025-07-24T04:20:35.7863890Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-07-24T04:20:35.7864090Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-07-24T04:20:35.7864260Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-07-24T04:20:35.7864300Z     
2025-07-24T04:20:35.7864340Z         Args:
2025-07-24T04:20:35.7864410Z             actual (Any): Actual input.
2025-07-24T04:20:35.7864470Z             expected (Any): Expected input.
2025-07-24T04:20:35.7864690Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-07-24T04:20:35.7864790Z                 are allowed. Otherwise type equality is required.
2025-07-24T04:20:35.7865000Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-07-24T04:20:35.7865160Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-07-24T04:20:35.7865380Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-07-24T04:20:35.7865540Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-07-24T04:20:35.7865710Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-07-24T04:20:35.7865890Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-07-24T04:20:35.7866040Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-07-24T04:20:35.7866180Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-07-24T04:20:35.7866410Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-07-24T04:20:35.7866640Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-07-24T04:20:35.7866750Z                 :func:`torch.promote_types`) before being compared.
2025-07-24T04:20:35.7866980Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-07-24T04:20:35.7867190Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-07-24T04:20:35.7867240Z                 compared.
2025-07-24T04:20:35.7867460Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-07-24T04:20:35.7867670Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-07-24T04:20:35.7867880Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-07-24T04:20:35.7867950Z                 should return the new message.
2025-07-24T04:20:35.7867990Z     
2025-07-24T04:20:35.7868040Z         Raises:
2025-07-24T04:20:35.7868180Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-07-24T04:20:35.7868290Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-07-24T04:20:35.7868480Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-07-24T04:20:35.7868700Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-07-24T04:20:35.7868760Z                 different types.
2025-07-24T04:20:35.7869010Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-07-24T04:20:35.7869230Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-07-24T04:20:35.7869420Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-07-24T04:20:35.7869600Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-07-24T04:20:35.7869670Z                 :attr:`~torch.Tensor.layout`.
2025-07-24T04:20:35.7869810Z             AssertionError: If only one of corresponding tensors is quantized.
2025-07-24T04:20:35.7870040Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-07-24T04:20:35.7870210Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-07-24T04:20:35.7870280Z                 :attr:`~torch.Tensor.device`.
2025-07-24T04:20:35.7870480Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-07-24T04:20:35.7870700Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-07-24T04:20:35.7870910Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-07-24T04:20:35.7870950Z     
2025-07-24T04:20:35.7871170Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-07-24T04:20:35.7871380Z         ``dtype``'s, the maximum of both tolerances is used.
2025-07-24T04:20:35.7871420Z     
2025-07-24T04:20:35.7871500Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7871580Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-07-24T04:20:35.7871650Z         +===========================+============+==========+
2025-07-24T04:20:35.7871770Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-07-24T04:20:35.7871850Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7871930Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-07-24T04:20:35.7872030Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7874780Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7874940Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875030Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-07-24T04:20:35.7875100Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875190Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-07-24T04:20:35.7875270Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875350Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7875430Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875510Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-07-24T04:20:35.7875590Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875670Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7875750Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7875830Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7875910Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7876000Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7876070Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7876150Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7876230Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7876310Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-07-24T04:20:35.7876390Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7876460Z         | other                     | ``0.0``    | ``0.0``  |
2025-07-24T04:20:35.7876540Z         +---------------------------+------------+----------+
2025-07-24T04:20:35.7876580Z     
2025-07-24T04:20:35.7876630Z         .. note::
2025-07-24T04:20:35.7876670Z     
2025-07-24T04:20:35.7876900Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-07-24T04:20:35.7877110Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-07-24T04:20:35.7877270Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-07-24T04:20:35.7877310Z     
2025-07-24T04:20:35.7877370Z             >>> import functools
2025-07-24T04:20:35.7877530Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-07-24T04:20:35.7877590Z             >>> assert_equal(1e-9, 1e-10)
2025-07-24T04:20:35.7877670Z             Traceback (most recent call last):
2025-07-24T04:20:35.7877710Z             ...
2025-07-24T04:20:35.7877790Z             AssertionError: Scalars are not equal!
2025-07-24T04:20:35.7877830Z             <BLANKLINE>
2025-07-24T04:20:35.7877900Z             Expected 1e-10 but got 1e-09.
2025-07-24T04:20:35.7877970Z             Absolute difference: 9.000000000000001e-10
2025-07-24T04:20:35.7878060Z             Relative difference: 9.0
2025-07-24T04:20:35.7878100Z     
2025-07-24T04:20:35.7878150Z         Examples:
2025-07-24T04:20:35.7878210Z             >>> # tensor to tensor comparison
2025-07-24T04:20:35.7878300Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-07-24T04:20:35.7878380Z             >>> actual = torch.acos(torch.cos(expected))
2025-07-24T04:20:35.7878470Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7878530Z     
2025-07-24T04:20:35.7878600Z             >>> # scalar to scalar comparison
2025-07-24T04:20:35.7878650Z             >>> import math
2025-07-24T04:20:35.7878700Z             >>> expected = math.sqrt(2.0)
2025-07-24T04:20:35.7878800Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-07-24T04:20:35.7878890Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7878930Z     
2025-07-24T04:20:35.7879030Z             >>> # numpy array to numpy array comparison
2025-07-24T04:20:35.7879090Z             >>> import numpy as np
2025-07-24T04:20:35.7879160Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-07-24T04:20:35.7879240Z             >>> actual = np.arccos(np.cos(expected))
2025-07-24T04:20:35.7879330Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7879370Z     
2025-07-24T04:20:35.7879440Z             >>> # sequence to sequence comparison
2025-07-24T04:20:35.7879500Z             >>> import numpy as np
2025-07-24T04:20:35.7879650Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-07-24T04:20:35.7879730Z             >>> # length and their elements have to match.
2025-07-24T04:20:35.7879830Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-07-24T04:20:35.7879890Z             >>> actual = tuple(expected)
2025-07-24T04:20:35.7879980Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7880020Z     
2025-07-24T04:20:35.7880090Z             >>> # mapping to mapping comparison
2025-07-24T04:20:35.7880160Z             >>> from collections import OrderedDict
2025-07-24T04:20:35.7880220Z             >>> import numpy as np
2025-07-24T04:20:35.7880280Z             >>> foo = torch.tensor(1.0)
2025-07-24T04:20:35.7880330Z             >>> bar = 2.0
2025-07-24T04:20:35.7880380Z             >>> baz = np.array(3.0)
2025-07-24T04:20:35.7880540Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-07-24T04:20:35.7880670Z             >>> # have to have the same set of keys and their elements have to match.
2025-07-24T04:20:35.7880800Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-07-24T04:20:35.7880890Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-07-24T04:20:35.7880980Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7881020Z     
2025-07-24T04:20:35.7881090Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-07-24T04:20:35.7881160Z             >>> actual = expected.clone()
2025-07-24T04:20:35.7881260Z             >>> # By default, directly related instances can be compared
2025-07-24T04:20:35.7881400Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-07-24T04:20:35.7881510Z             >>> # This check can be made more strict with allow_subclasses=False
2025-07-24T04:20:35.7881580Z             >>> torch.testing.assert_close(
2025-07-24T04:20:35.7881700Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-07-24T04:20:35.7881750Z             ... )
2025-07-24T04:20:35.7881820Z             Traceback (most recent call last):
2025-07-24T04:20:35.7881860Z             ...
2025-07-24T04:20:35.7881990Z             TypeError: No comparison pair was able to handle inputs of type
2025-07-24T04:20:35.7882120Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-07-24T04:20:35.7882260Z             >>> # If the inputs are not directly related, they are never considered close
2025-07-24T04:20:35.7882400Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-07-24T04:20:35.7882470Z             Traceback (most recent call last):
2025-07-24T04:20:35.7882510Z             ...
2025-07-24T04:20:35.7882680Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-07-24T04:20:35.7882740Z             and <class 'torch.Tensor'>.
2025-07-24T04:20:35.7882910Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-07-24T04:20:35.7883000Z             >>> # their type if check_dtype=False.
2025-07-24T04:20:35.7883130Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-07-24T04:20:35.7883170Z     
2025-07-24T04:20:35.7883230Z             >>> # NaN != NaN by default.
2025-07-24T04:20:35.7883310Z             >>> expected = torch.tensor(float("Nan"))
2025-07-24T04:20:35.7883400Z             >>> actual = expected.clone()
2025-07-24T04:20:35.7883490Z             >>> torch.testing.assert_close(actual, expected)
2025-07-24T04:20:35.7883560Z             Traceback (most recent call last):
2025-07-24T04:20:35.7883600Z             ...
2025-07-24T04:20:35.7883680Z             AssertionError: Scalars are not close!
2025-07-24T04:20:35.7883720Z             <BLANKLINE>
2025-07-24T04:20:35.7883790Z             Expected nan but got nan.
2025-07-24T04:20:35.7883870Z             Absolute difference: nan (up to 1e-05 allowed)
2025-07-24T04:20:35.7883960Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-07-24T04:20:35.7884090Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-07-24T04:20:35.7884130Z     
2025-07-24T04:20:35.7884210Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-07-24T04:20:35.7884280Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-07-24T04:20:35.7884380Z             >>> # The default error message can be overwritten.
2025-07-24T04:20:35.7884550Z             >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!")
2025-07-24T04:20:35.7884620Z             Traceback (most recent call last):
2025-07-24T04:20:35.7884660Z             ...
2025-07-24T04:20:35.7884760Z             AssertionError: Argh, the tensors are not close!
2025-07-24T04:20:35.7884890Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-07-24T04:20:35.7884950Z             >>> # extra information
2025-07-24T04:20:35.7885020Z             >>> torch.testing.assert_close(
2025-07-24T04:20:35.7885140Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-07-24T04:20:35.7885180Z             ... )
2025-07-24T04:20:35.7885250Z             Traceback (most recent call last):
2025-07-24T04:20:35.7885300Z             ...
2025-07-24T04:20:35.7885350Z             AssertionError: Header
2025-07-24T04:20:35.7885400Z             <BLANKLINE>
2025-07-24T04:20:35.7885460Z             Tensor-likes are not close!
2025-07-24T04:20:35.7885510Z             <BLANKLINE>
2025-07-24T04:20:35.7885580Z             Mismatched elements: 2 / 3 (66.7%)
2025-07-24T04:20:35.7885710Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-07-24T04:20:35.7885850Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-07-24T04:20:35.7885900Z             <BLANKLINE>
2025-07-24T04:20:35.7885950Z             Footer
2025-07-24T04:20:35.7885990Z         
2025-07-24T04:20:35.7886140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7886180Z     
2025-07-24T04:20:35.7886230Z       warnings.warn(msg)
2025-07-24T04:20:35.7886270Z     
2025-07-24T04:20:35.7886400Z --- Parse Warning: 118 / 136 ---
2025-07-24T04:20:35.7887050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/triton.py line=21.
2025-07-24T04:20:35.7887230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7887380Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-07-24T04:20:35.7887420Z     
2025-07-24T04:20:35.7887550Z         This is a more structured way of using triton kernels with PyTorch.
2025-07-24T04:20:35.7887700Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-07-24T04:20:35.7887870Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-07-24T04:20:35.7887930Z         that is simpler;
2025-07-24T04:20:35.7888100Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-07-24T04:20:35.7888260Z         want to create an operator that behaves like PyTorch built-in operators.
2025-07-24T04:20:35.7888390Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-07-24T04:20:35.7888530Z         behavior of the triton kernel when passed a tensor subclass or under
2025-07-24T04:20:35.7888580Z         a TorchDispatchMode.
2025-07-24T04:20:35.7888630Z     
2025-07-24T04:20:35.7888780Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-07-24T04:20:35.7888840Z         when the implementation
2025-07-24T04:20:35.7888970Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-07-24T04:20:35.7889070Z         custom operators as opaque (:func:`torch.compile` and
2025-07-24T04:20:35.7889210Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-07-24T04:20:35.7889350Z         makes the implementation visible to these subsystems, allowing them
2025-07-24T04:20:35.7889410Z         to optimize the triton kernel(s).
2025-07-24T04:20:35.7889450Z     
2025-07-24T04:20:35.7889570Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-07-24T04:20:35.7889710Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-07-24T04:20:35.7889830Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-07-24T04:20:35.7889870Z     
2025-07-24T04:20:35.7889910Z         Args:
2025-07-24T04:20:35.7890050Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-07-24T04:20:35.7890180Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-07-24T04:20:35.7890290Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-07-24T04:20:35.7890430Z                 To avoid name collisions, please use your project name as the namespace;
2025-07-24T04:20:35.7890560Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-07-24T04:20:35.7890730Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-07-24T04:20:35.7890870Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-07-24T04:20:35.7891040Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-07-24T04:20:35.7891150Z             schema (None | str): A schema string for the operator. If None
2025-07-24T04:20:35.7891280Z                 (recommended) we'll infer a schema for the operator from its type
2025-07-24T04:20:35.7891400Z                 annotations. We recommend letting us infer a schema unless you
2025-07-24T04:20:35.7891470Z                 have a specific reason not to.
2025-07-24T04:20:35.7891560Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-07-24T04:20:35.7891600Z     
2025-07-24T04:20:35.7891650Z         Example::
2025-07-24T04:20:35.7891690Z     
2025-07-24T04:20:35.7891770Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-07-24T04:20:35.7891830Z             >>> import torch
2025-07-24T04:20:35.7891930Z             >>> from torch.library import triton_op, wrap_triton
2025-07-24T04:20:35.7892000Z             >>>
2025-07-24T04:20:35.7892050Z             >>> import triton
2025-07-24T04:20:35.7892130Z             >>> from triton import language as tl
2025-07-24T04:20:35.7892170Z             >>>
2025-07-24T04:20:35.7892220Z             >>> @triton.jit
2025-07-24T04:20:35.7892270Z             >>> def add_kernel(
2025-07-24T04:20:35.7892320Z             >>>     in_ptr0,
2025-07-24T04:20:35.7892400Z             >>>     in_ptr1,
2025-07-24T04:20:35.7892450Z             >>>     out_ptr,
2025-07-24T04:20:35.7892500Z             >>>     n_elements,
2025-07-24T04:20:35.7892570Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-07-24T04:20:35.7892620Z             >>> ):
2025-07-24T04:20:35.7892700Z             >>>     pid = tl.program_id(axis=0)
2025-07-24T04:20:35.7892760Z             >>>     block_start = pid * BLOCK_SIZE
2025-07-24T04:20:35.7892880Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-07-24T04:20:35.7892940Z             >>>     mask = offsets < n_elements
2025-07-24T04:20:35.7893030Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-07-24T04:20:35.7893100Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-07-24T04:20:35.7893160Z             >>>     output = x + y
2025-07-24T04:20:35.7893250Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-07-24T04:20:35.7893290Z             >>>
2025-07-24T04:20:35.7893380Z             >>> @triton_op("mylib::add", mutates_args={})
2025-07-24T04:20:35.7893490Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-07-24T04:20:35.7893560Z             >>>     output = torch.empty_like(x)
2025-07-24T04:20:35.7893630Z             >>>     n_elements = output.numel()
2025-07-24T04:20:35.7893670Z             >>>
2025-07-24T04:20:35.7893720Z             >>>     def grid(meta):
2025-07-24T04:20:35.7893830Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-07-24T04:20:35.7893870Z             >>>
2025-07-24T04:20:35.7893990Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-07-24T04:20:35.7894100Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-07-24T04:20:35.7894160Z             >>>     return output
2025-07-24T04:20:35.7894200Z             >>>
2025-07-24T04:20:35.7894260Z             >>> @torch.compile
2025-07-24T04:20:35.7894310Z             >>> def f(x, y):
2025-07-24T04:20:35.7894360Z             >>>     return add(x, y)
2025-07-24T04:20:35.7894400Z             >>>
2025-07-24T04:20:35.7894470Z             >>> x = torch.randn(3, device="cuda")
2025-07-24T04:20:35.7894540Z             >>> y = torch.randn(3, device="cuda")
2025-07-24T04:20:35.7894580Z             >>>
2025-07-24T04:20:35.7894630Z             >>> z = f(x, y)
2025-07-24T04:20:35.7894700Z             >>> assert torch.allclose(z, x + y)
2025-07-24T04:20:35.7894740Z     
2025-07-24T04:20:35.7894780Z         
2025-07-24T04:20:35.7894940Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7894980Z     
2025-07-24T04:20:35.7895030Z       warnings.warn(msg)
2025-07-24T04:20:35.7895070Z     
2025-07-24T04:20:35.7895170Z --- Parse Warning: 119 / 136 ---
2025-07-24T04:20:35.7895820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/triton.py line=202.
2025-07-24T04:20:35.7895980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7896100Z     Allows capture of a triton kernel into a graph via make_fx or
2025-07-24T04:20:35.7896160Z         non-strict ``torch.export``.
2025-07-24T04:20:35.7896210Z     
2025-07-24T04:20:35.7896320Z         These technologies perform Dispatcher-based tracing (via
2025-07-24T04:20:35.7896510Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-07-24T04:20:35.7896630Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-07-24T04:20:35.7896700Z         can actually be traced into a graph.
2025-07-24T04:20:35.7896740Z     
2025-07-24T04:20:35.7896870Z         Please use this API together with :func:`torch.library.triton_op`.
2025-07-24T04:20:35.7896910Z     
2025-07-24T04:20:35.7896950Z         Examples:
2025-07-24T04:20:35.7897010Z     
2025-07-24T04:20:35.7897070Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7897120Z             >>> import torch
2025-07-24T04:20:35.7897170Z             >>> import triton
2025-07-24T04:20:35.7897270Z             >>> from triton import language as tl
2025-07-24T04:20:35.7897390Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-07-24T04:20:35.7897480Z             >>> from torch.library import wrap_triton
2025-07-24T04:20:35.7897530Z             >>>
2025-07-24T04:20:35.7897580Z             >>> @triton.jit
2025-07-24T04:20:35.7897630Z             >>> def add_kernel(
2025-07-24T04:20:35.7897680Z             >>>     in_ptr0,
2025-07-24T04:20:35.7897730Z             >>>     in_ptr1,
2025-07-24T04:20:35.7897770Z             >>>     out_ptr,
2025-07-24T04:20:35.7897820Z             >>>     n_elements,
2025-07-24T04:20:35.7897890Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-07-24T04:20:35.7897930Z             >>> ):
2025-07-24T04:20:35.7898000Z             >>>     pid = tl.program_id(axis=0)
2025-07-24T04:20:35.7898070Z             >>>     block_start = pid * BLOCK_SIZE
2025-07-24T04:20:35.7898170Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-07-24T04:20:35.7898230Z             >>>     mask = offsets < n_elements
2025-07-24T04:20:35.7898310Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-07-24T04:20:35.7898390Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-07-24T04:20:35.7898450Z             >>>     output = x + y
2025-07-24T04:20:35.7898540Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-07-24T04:20:35.7898580Z             >>>
2025-07-24T04:20:35.7898640Z             >>> def add(x, y):
2025-07-24T04:20:35.7898710Z             >>>     output = torch.empty_like(x)
2025-07-24T04:20:35.7898780Z             >>>     n_elements = output.numel()
2025-07-24T04:20:35.7898820Z             >>>
2025-07-24T04:20:35.7898870Z             >>>     def grid_fn(meta):
2025-07-24T04:20:35.7898980Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-07-24T04:20:35.7899020Z             >>>
2025-07-24T04:20:35.7899140Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-07-24T04:20:35.7899200Z             >>>     return output
2025-07-24T04:20:35.7899240Z             >>>
2025-07-24T04:20:35.7899310Z             >>> x = torch.randn(3, device="cuda")
2025-07-24T04:20:35.7899380Z             >>> y = torch.randn(3, device="cuda")
2025-07-24T04:20:35.7899440Z             >>> gm = make_fx(add)(x, y)
2025-07-24T04:20:35.7899490Z             >>> print(gm.code)
2025-07-24T04:20:35.7899560Z             >>> # def forward(self, x_1, y_1):
2025-07-24T04:20:35.7899710Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-07-24T04:20:35.7899850Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-07-24T04:20:35.7899940Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-07-24T04:20:35.7900010Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-07-24T04:20:35.7900110Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-07-24T04:20:35.7900190Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-07-24T04:20:35.7900240Z             >>> #         })
2025-07-24T04:20:35.7900300Z             >>> #     return empty_like
2025-07-24T04:20:35.7900340Z     
2025-07-24T04:20:35.7900400Z         
2025-07-24T04:20:35.7900550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7900590Z     
2025-07-24T04:20:35.7900640Z       warnings.warn(msg)
2025-07-24T04:20:35.7900680Z     
2025-07-24T04:20:35.7900790Z --- Parse Warning: 120 / 136 ---
2025-07-24T04:20:35.7901480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-07-24T04:20:35.7901680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7901720Z     
2025-07-24T04:20:35.7901860Z     Registers a fake kernel based on the given operator profiles. This fake
2025-07-24T04:20:35.7902040Z     kernel registration will override any existing fake kernel registrations.
2025-07-24T04:20:35.7902080Z     
2025-07-24T04:20:35.7902210Z     The input is a dictionary mapping operator names to a set of operator
2025-07-24T04:20:35.7902360Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-07-24T04:20:35.7902480Z     are a record of the input and output tensor metadata. Based on this
2025-07-24T04:20:35.7902620Z     information we will match a given input to the recorded profile, and return
2025-07-24T04:20:35.7902760Z     an output with the same metadata as in the recorded profile. If a profile
2025-07-24T04:20:35.7902840Z     doesn't exist then an exception will be thrown.
2025-07-24T04:20:35.7902880Z     
2025-07-24T04:20:35.7903020Z     The fake kernel generation is considered unsafe because it relies on the
2025-07-24T04:20:35.7903160Z     rigid, pre-defined operator profiles that do not account for potential
2025-07-24T04:20:35.7903310Z     variations in output behavior. Specifically, the generated kernels assume a
2025-07-24T04:20:35.7903460Z     fixed relationship between input and output ranks. However, in reality, it's
2025-07-24T04:20:35.7903610Z     possible that data-dependent operations may produce outputs of different
2025-07-24T04:20:35.7903740Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-07-24T04:20:35.7903880Z     are inflexible and unable to accommodate these nuances, making them
2025-07-24T04:20:35.7903930Z     potentially unsafe.
2025-07-24T04:20:35.7903970Z     
2025-07-24T04:20:35.7904010Z     Args:
2025-07-24T04:20:35.7904140Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-07-24T04:20:35.7904270Z             name to a set of operator profiles from which we will generate fake
2025-07-24T04:20:35.7904310Z             kernels.
2025-07-24T04:20:35.7904350Z     
2025-07-24T04:20:35.7904400Z     Examples:
2025-07-24T04:20:35.7904440Z     
2025-07-24T04:20:35.7904540Z         >>> # Example: Registering an op-profile from draft-export
2025-07-24T04:20:35.7904590Z         >>> import torch
2025-07-24T04:20:35.7904690Z         >>> from torch.export._draft_export import draft_export
2025-07-24T04:20:35.7904740Z         >>>
2025-07-24T04:20:35.7904840Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-07-24T04:20:35.7904920Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-07-24T04:20:35.7904970Z         >>>     return x + y
2025-07-24T04:20:35.7905020Z         >>>
2025-07-24T04:20:35.7905080Z         >>> class M(torch.nn.Module):
2025-07-24T04:20:35.7905140Z         >>>     def forward(self, a, b):
2025-07-24T04:20:35.7905230Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-07-24T04:20:35.7905280Z         >>>         return res
2025-07-24T04:20:35.7905320Z         >>>
2025-07-24T04:20:35.7905430Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-07-24T04:20:35.7905470Z         >>>
2025-07-24T04:20:35.7905650Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-07-24T04:20:35.7905750Z         >>>     decomp = ep.run_decompositions()
2025-07-24T04:20:35.7905790Z     
2025-07-24T04:20:35.7905830Z     
2025-07-24T04:20:35.7905980Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7906020Z     
2025-07-24T04:20:35.7906070Z       warnings.warn(msg)
2025-07-24T04:20:35.7906110Z     
2025-07-24T04:20:35.7906210Z --- Parse Warning: 121 / 136 ---
2025-07-24T04:20:35.7906940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_library/custom_ops.py line=396.
2025-07-24T04:20:35.7907090Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-07-24T04:20:35.7907220Z     Register a FakeTensor implementation for this custom op.
2025-07-24T04:20:35.7907260Z     
2025-07-24T04:20:35.7907410Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-07-24T04:20:35.7907450Z     
2025-07-24T04:20:35.7907590Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-07-24T04:20:35.7907730Z             specifies the behavior of this operator on Tensors that carry no data.
2025-07-24T04:20:35.7907820Z             Given some input Tensors with certain properties
2025-07-24T04:20:35.7907980Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-07-24T04:20:35.7908030Z             the output Tensors are.
2025-07-24T04:20:35.7908070Z     
2025-07-24T04:20:35.7908200Z             Please see :func:`torch.library.impl_abstract` for more details.
2025-07-24T04:20:35.7908240Z     
2025-07-24T04:20:35.7908290Z             Args:
2025-07-24T04:20:35.7908400Z                 fn (Callable): The function to register as the FakeTensor
2025-07-24T04:20:35.7908450Z                     implementation.
2025-07-24T04:20:35.7908490Z     
2025-07-24T04:20:35.7908540Z             Examples:
2025-07-24T04:20:35.7908590Z                 >>> import torch
2025-07-24T04:20:35.7908650Z                 >>> import numpy as np
2025-07-24T04:20:35.7908720Z                 >>> from torch import Tensor
2025-07-24T04:20:35.7908760Z                 >>>
2025-07-24T04:20:35.7908880Z                 >>> # Example 1: an operator without data-dependent output shape
2025-07-24T04:20:35.7909000Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-07-24T04:20:35.7909110Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-07-24T04:20:35.7909190Z                 >>>     return (x @ weight.t()) + bias
2025-07-24T04:20:35.7909230Z                 >>>
2025-07-24T04:20:35.7909290Z                 >>> @linear.register_fake
2025-07-24T04:20:35.7909360Z                 >>> def _(x, weight, bias):
2025-07-24T04:20:35.7909410Z                 >>>     assert x.dim() == 2
2025-07-24T04:20:35.7909480Z                 >>>     assert weight.dim() == 2
2025-07-24T04:20:35.7909550Z                 >>>     assert bias.dim() == 1
2025-07-24T04:20:35.7909630Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-07-24T04:20:35.7909710Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-07-24T04:20:35.7909790Z                 >>>     assert x.device == weight.device
2025-07-24T04:20:35.7909880Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-07-24T04:20:35.7909920Z                 >>>
2025-07-24T04:20:35.7909980Z                 >>> x = torch.randn(2, 2)
2025-07-24T04:20:35.7910050Z                 >>> weight = torch.randn(2, 2)
2025-07-24T04:20:35.7910110Z                 >>> bias = torch.randn(2)
2025-07-24T04:20:35.7910190Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:35.7910310Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-07-24T04:20:35.7910430Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:35.7910580Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-07-24T04:20:35.7910630Z                 >>>
2025-07-24T04:20:35.7910740Z                 >>> # Example 2: an operator with data-dependent output shape
2025-07-24T04:20:35.7910860Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-07-24T04:20:35.7910970Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-07-24T04:20:35.7911030Z                 >>>     x_np = x.cpu().numpy()
2025-07-24T04:20:35.7911110Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-07-24T04:20:35.7911220Z                 >>>     return torch.tensor(res, device=x.device)
2025-07-24T04:20:35.7911260Z                 >>>
2025-07-24T04:20:35.7911320Z                 >>> @nonzero.register_fake
2025-07-24T04:20:35.7911390Z                 >>> def _(x):
2025-07-24T04:20:35.7911490Z                 >>> # Number of nonzero-elements is data-dependent.
2025-07-24T04:20:35.7911600Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-07-24T04:20:35.7911700Z                 >>> # we use the ctx object to construct a new symint that
2025-07-24T04:20:35.7911780Z                 >>> # represents the data-dependent size.
2025-07-24T04:20:35.7911850Z                 >>>     ctx = torch.library.get_ctx()
2025-07-24T04:20:35.7911930Z                 >>>     nnz = ctx.new_dynamic_size()
2025-07-24T04:20:35.7911990Z                 >>>     shape = [nnz, x.dim()]
2025-07-24T04:20:35.7912090Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-07-24T04:20:35.7912140Z                 >>>     return result
2025-07-24T04:20:35.7912190Z                 >>>
2025-07-24T04:20:35.7912260Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-07-24T04:20:35.7912340Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:35.7912440Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-07-24T04:20:35.7912520Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-07-24T04:20:35.7912610Z                 >>> assert torch.allclose(out, x.nonzero())
2025-07-24T04:20:35.7912650Z     
2025-07-24T04:20:35.7912690Z             
2025-07-24T04:20:35.7913000Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-07-24T04:20:35.7913040Z     
2025-07-24T04:20:35.7913090Z     _._ = None
2025-07-24T04:20:35.7913130Z     ^
2025-07-24T04:20:35.7913180Z       warnings.warn(msg)
2025-07-24T04:20:35.7913220Z     
2025-07-24T04:20:35.7913320Z --- Parse Warning: 122 / 136 ---
2025-07-24T04:20:35.7913990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-07-24T04:20:35.7914150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7914280Z     Applies a 1D convolution over a quantized input signal composed of
2025-07-24T04:20:35.7914350Z         several quantized input planes.
2025-07-24T04:20:35.7914390Z     
2025-07-24T04:20:35.7914510Z         For details on input arguments, parameters, and implementation see
2025-07-24T04:20:35.7914570Z         :class:`~torch.nn.Conv1d`.
2025-07-24T04:20:35.7914620Z     
2025-07-24T04:20:35.7914660Z         .. note::
2025-07-24T04:20:35.7914780Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-07-24T04:20:35.7914820Z     
2025-07-24T04:20:35.7914870Z         .. note::
2025-07-24T04:20:35.7914970Z             Only `torch.quint8` is supported for the input data type.
2025-07-24T04:20:35.7915020Z     
2025-07-24T04:20:35.7915060Z     
2025-07-24T04:20:35.7915150Z         Attributes:
2025-07-24T04:20:35.7915280Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-07-24T04:20:35.7915340Z                                  parameter.
2025-07-24T04:20:35.7915430Z             scale (Tensor):      scalar for the output scale
2025-07-24T04:20:35.7915530Z             zero_point (Tensor): scalar for the output zero point
2025-07-24T04:20:35.7915570Z     
2025-07-24T04:20:35.7915660Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-07-24T04:20:35.7915730Z     
2025-07-24T04:20:35.7915770Z         Examples::
2025-07-24T04:20:35.7915810Z     
2025-07-24T04:20:35.7915910Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-07-24T04:20:35.7916020Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-07-24T04:20:35.7916090Z             >>> input = torch.randn(20, 16, 100)
2025-07-24T04:20:35.7916170Z             >>> # quantize input to quint8
2025-07-24T04:20:35.7916220Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7916360Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-07-24T04:20:35.7916440Z             ...                                     dtype=torch.quint8)
2025-07-24T04:20:35.7916500Z             >>> output = m(q_input)
2025-07-24T04:20:35.7916540Z     
2025-07-24T04:20:35.7916580Z         
2025-07-24T04:20:35.7916730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7916780Z     
2025-07-24T04:20:35.7916830Z       warnings.warn(msg)
2025-07-24T04:20:35.7916870Z     
2025-07-24T04:20:35.7916970Z --- Parse Warning: 123 / 136 ---
2025-07-24T04:20:35.7917650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-07-24T04:20:35.7917810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7917890Z     A quantized long short-term memory (LSTM).
2025-07-24T04:20:35.7917930Z     
2025-07-24T04:20:35.7918100Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-07-24T04:20:35.7918140Z     
2025-07-24T04:20:35.7918180Z         Attributes:
2025-07-24T04:20:35.7918250Z             layers : instances of the `_LSTMLayer`
2025-07-24T04:20:35.7918300Z     
2025-07-24T04:20:35.7918340Z         .. note::
2025-07-24T04:20:35.7918470Z             To access the weights and biases, you need to access them per layer.
2025-07-24T04:20:35.7918580Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-07-24T04:20:35.7918620Z     
2025-07-24T04:20:35.7918660Z         Examples::
2025-07-24T04:20:35.7918720Z             >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7918780Z             >>> custom_module_config = {
2025-07-24T04:20:35.7918870Z             ...     'float_to_observed_custom_module_class': {
2025-07-24T04:20:35.7918950Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-07-24T04:20:35.7918990Z             ...     },
2025-07-24T04:20:35.7919090Z             ...     'observed_to_quantized_custom_module_class': {
2025-07-24T04:20:35.7919170Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-07-24T04:20:35.7919220Z             ...     }
2025-07-24T04:20:35.7919260Z             ... }
2025-07-24T04:20:35.7919400Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-07-24T04:20:35.7919530Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-07-24T04:20:35.7919570Z         
2025-07-24T04:20:35.7919720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7919760Z     
2025-07-24T04:20:35.7919820Z       warnings.warn(msg)
2025-07-24T04:20:35.7919860Z     
2025-07-24T04:20:35.7919960Z --- Parse Warning: 124 / 136 ---
2025-07-24T04:20:35.7920720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-07-24T04:20:35.7920870Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7920930Z     
2025-07-24T04:20:35.7921080Z     Config object that specifies the supported data types passed as arguments to
2025-07-24T04:20:35.7921240Z     quantize ops in the reference model spec, for input and output activations,
2025-07-24T04:20:35.7921300Z     weights, and biases.
2025-07-24T04:20:35.7921340Z     
2025-07-24T04:20:35.7921440Z     For example, consider the following reference model:
2025-07-24T04:20:35.7921530Z     
2025-07-24T04:20:35.7921630Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-07-24T04:20:35.7921670Z     
2025-07-24T04:20:35.7921800Z     The pattern in the square brackets refers to the reference pattern of
2025-07-24T04:20:35.7921940Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-07-24T04:20:35.7924800Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-07-24T04:20:35.7924950Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-07-24T04:20:35.7925090Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-07-24T04:20:35.7925150Z     the second quantize op (quant2).
2025-07-24T04:20:35.7925200Z     
2025-07-24T04:20:35.7925330Z     Note that the dtype here does not refer to the interface dtypes of the
2025-07-24T04:20:35.7925460Z     op. For example, the "input dtype" here is not the dtype of the input
2025-07-24T04:20:35.7925590Z     tensor passed to the quantized linear op. Though it can still be the
2025-07-24T04:20:35.7925710Z     same as the interface dtype, this is not always the case, e.g. the
2025-07-24T04:20:35.7925840Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-07-24T04:20:35.7925970Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-07-24T04:20:35.7926090Z     dtypes here are the same as the semantics of the dtypes specified in
2025-07-24T04:20:35.7926140Z     the observers.
2025-07-24T04:20:35.7926180Z     
2025-07-24T04:20:35.7926300Z     These dtypes are matched against the ones specified in the user's
2025-07-24T04:20:35.7926440Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-07-24T04:20:35.7926570Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-07-24T04:20:35.7926710Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-07-24T04:20:35.7926770Z     the pattern will not be quantized.
2025-07-24T04:20:35.7926810Z     
2025-07-24T04:20:35.7926860Z     Example usage::
2025-07-24T04:20:35.7926900Z     
2025-07-24T04:20:35.7926960Z         >>> # xdoctest: +SKIP(failing)
2025-07-24T04:20:35.7927020Z         >>> dtype_config1 = DTypeConfig(
2025-07-24T04:20:35.7927090Z         ...     input_dtype=torch.quint8,
2025-07-24T04:20:35.7927150Z         ...     output_dtype=torch.quint8,
2025-07-24T04:20:35.7927210Z         ...     weight_dtype=torch.qint8,
2025-07-24T04:20:35.7927270Z         ...     bias_dtype=torch.float)
2025-07-24T04:20:35.7927310Z     
2025-07-24T04:20:35.7927370Z         >>> dtype_config2 = DTypeConfig(
2025-07-24T04:20:35.7927450Z         ...     input_dtype=DTypeWithConstraints(
2025-07-24T04:20:35.7927510Z         ...         dtype=torch.quint8,
2025-07-24T04:20:35.7927570Z         ...         quant_min_lower_bound=0,
2025-07-24T04:20:35.7927640Z         ...         quant_max_upper_bound=255,
2025-07-24T04:20:35.7927680Z         ...     ),
2025-07-24T04:20:35.7927760Z         ...     output_dtype=DTypeWithConstraints(
2025-07-24T04:20:35.7927810Z         ...         dtype=torch.quint8,
2025-07-24T04:20:35.7927920Z         ...         quant_min_lower_bound=0,
2025-07-24T04:20:35.7927990Z         ...         quant_max_upper_bound=255,
2025-07-24T04:20:35.7928030Z         ...     ),
2025-07-24T04:20:35.7928100Z         ...     weight_dtype=DTypeWithConstraints(
2025-07-24T04:20:35.7928160Z         ...         dtype=torch.qint8,
2025-07-24T04:20:35.7928220Z         ...         quant_min_lower_bound=-128,
2025-07-24T04:20:35.7928290Z         ...         quant_max_upper_bound=127,
2025-07-24T04:20:35.7928350Z         ...     ),
2025-07-24T04:20:35.7928410Z         ...     bias_dtype=torch.float)
2025-07-24T04:20:35.7928440Z     
2025-07-24T04:20:35.7928510Z         >>> dtype_config1.input_dtype
2025-07-24T04:20:35.7928600Z         torch.quint8
2025-07-24T04:20:35.7928640Z     
2025-07-24T04:20:35.7928710Z         >>> dtype_config2.input_dtype
2025-07-24T04:20:35.7928750Z         torch.quint8
2025-07-24T04:20:35.7928810Z     
2025-07-24T04:20:35.7928900Z         >>> dtype_config2.input_dtype_with_constraints
2025-07-24T04:20:35.7929220Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-07-24T04:20:35.7929260Z     
2025-07-24T04:20:35.7929420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7929460Z     
2025-07-24T04:20:35.7929510Z       warnings.warn(msg)
2025-07-24T04:20:35.7929550Z     
2025-07-24T04:20:35.7929670Z --- Parse Warning: 125 / 136 ---
2025-07-24T04:20:35.7930520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-07-24T04:20:35.7930680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7930720Z     
2025-07-24T04:20:35.7930880Z     Takes in optional filter values and generates two tables with desired information.
2025-07-24T04:20:35.7930920Z     
2025-07-24T04:20:35.7931050Z     The generated tables are presented in both a list-of-lists format
2025-07-24T04:20:35.7931090Z     
2025-07-24T04:20:35.7931210Z     The reason for the two tables are that they handle different things:
2025-07-24T04:20:35.7931320Z     1.) the first table handles all tensor level information
2025-07-24T04:20:35.7931450Z     2.) the second table handles and displays all channel based information
2025-07-24T04:20:35.7931490Z     
2025-07-24T04:20:35.7931680Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-07-24T04:20:35.7931880Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-07-24T04:20:35.7932090Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-07-24T04:20:35.7932130Z     
2025-07-24T04:20:35.7932190Z     Tensor table columns:
2025-07-24T04:20:35.7932310Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:35.7932410Z         ----  ---------  ---------   ---------   ---------        ---------
2025-07-24T04:20:35.7932450Z     
2025-07-24T04:20:35.7932510Z     Per-Channel table columns:
2025-07-24T04:20:35.7932640Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:35.7932750Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-07-24T04:20:35.7932790Z     
2025-07-24T04:20:35.7932840Z     Args:
2025-07-24T04:20:35.7932990Z         feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:35.7933060Z             contain this filter substring
2025-07-24T04:20:35.7933160Z             Default = "", results in all the features being printed
2025-07-24T04:20:35.7933360Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:35.7933510Z             Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:35.7933550Z     
2025-07-24T04:20:35.7933620Z     Returns a dictionary with two keys:
2025-07-24T04:20:35.7933720Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-07-24T04:20:35.7933910Z         "tensor_level_info", "channel_level_info"
2025-07-24T04:20:35.7933980Z             Each key maps to a tuple with:
2025-07-24T04:20:35.7934050Z                 A list of the headers of each table
2025-07-24T04:20:35.7934180Z                 A list of lists containing the table information row by row
2025-07-24T04:20:35.7934290Z                 The 0th index row will contain the headers of the columns
2025-07-24T04:20:35.7934390Z                 The rest of the rows will contain data
2025-07-24T04:20:35.7934430Z     
2025-07-24T04:20:35.7934470Z     Example Use:
2025-07-24T04:20:35.7934550Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7934650Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-07-24T04:20:35.7934770Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:35.7934930Z         ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-07-24T04:20:35.7934980Z     
2025-07-24T04:20:35.7935130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7935170Z     
2025-07-24T04:20:35.7935220Z       warnings.warn(msg)
2025-07-24T04:20:35.7935260Z     
2025-07-24T04:20:35.7935370Z --- Parse Warning: 126 / 136 ---
2025-07-24T04:20:35.7936230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-07-24T04:20:35.7936390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7936430Z     
2025-07-24T04:20:35.7936590Z     Takes in optional filter values and prints out formatted tables of the information.
2025-07-24T04:20:35.7936630Z     
2025-07-24T04:20:35.7936840Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-07-24T04:20:35.7936940Z     1.) the first table handles all tensor level information
2025-07-24T04:20:35.7937070Z     2.) the second table handles and displays all channel based information
2025-07-24T04:20:35.7937110Z     
2025-07-24T04:20:35.7937310Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-07-24T04:20:35.7937500Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-07-24T04:20:35.7937710Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-07-24T04:20:35.7937750Z     
2025-07-24T04:20:35.7937810Z     Tensor table columns:
2025-07-24T04:20:35.7937920Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:35.7938020Z     ----  ---------  ---------   ---------   ---------        ---------
2025-07-24T04:20:35.7938060Z     
2025-07-24T04:20:35.7938120Z     Per-Channel table columns:
2025-07-24T04:20:35.7938160Z     
2025-07-24T04:20:35.7938300Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-07-24T04:20:35.7938400Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-07-24T04:20:35.7938440Z     
2025-07-24T04:20:35.7938480Z     Args:
2025-07-24T04:20:35.7938650Z         feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:35.7938730Z             contain this filter substring
2025-07-24T04:20:35.7938840Z             Default = "", results in all the features being printed
2025-07-24T04:20:35.7938990Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:35.7939150Z             Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:35.7939190Z     
2025-07-24T04:20:35.7939260Z     Example Use:
2025-07-24T04:20:35.7939340Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7939440Z         >>> mod_report_visualizer.generate_table_visualization(
2025-07-24T04:20:35.7939610Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:35.7939650Z         ... )
2025-07-24T04:20:35.7939790Z         >>> # prints out neatly formatted table with per_channel_min info
2025-07-24T04:20:35.7939870Z         >>> # for all modules in block 1 of the model
2025-07-24T04:20:35.7939920Z     
2025-07-24T04:20:35.7940070Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7940110Z     
2025-07-24T04:20:35.7940160Z       warnings.warn(msg)
2025-07-24T04:20:35.7940200Z     
2025-07-24T04:20:35.7940300Z --- Parse Warning: 127 / 136 ---
2025-07-24T04:20:35.7941160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-07-24T04:20:35.7941320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7941360Z     
2025-07-24T04:20:35.7941500Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-07-24T04:20:35.7941540Z     
2025-07-24T04:20:35.7941710Z     For per channel features, it averages the value across the channels and plots a point
2025-07-24T04:20:35.7941860Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-07-24T04:20:35.7942030Z     be hard to differentiate one channel line from another, and so the point of generating
2025-07-24T04:20:35.7942190Z     a single average point per module is to give a sense of general trends that encourage
2025-07-24T04:20:35.7942240Z     further deep dives.
2025-07-24T04:20:35.7942280Z     
2025-07-24T04:20:35.7942320Z     Note:
2025-07-24T04:20:35.7942480Z         Only features in the report that have tensor value data are plottable by this class
2025-07-24T04:20:35.7942580Z         When the tensor information is plotted, it will plot:
2025-07-24T04:20:35.7942670Z             idx as the x val, feature value as the y_val
2025-07-24T04:20:35.7942770Z         When the channel information is plotted, it will plot:
2025-07-24T04:20:35.7942940Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-07-24T04:20:35.7943080Z             The reason for this is that we want to be able to compare values across the
2025-07-24T04:20:35.7943220Z             channels for same layer, and it will be hard if values are staggered by idx
2025-07-24T04:20:35.7943330Z             This means each module is represented by only 1 x value
2025-07-24T04:20:35.7943370Z     Args:
2025-07-24T04:20:35.7943500Z         feature_filter (str): Filters the features presented to only those that
2025-07-24T04:20:35.7943570Z             contain this filter substring
2025-07-24T04:20:35.7943730Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:35.7943880Z             Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:35.7943920Z     
2025-07-24T04:20:35.7943960Z     Example Use:
2025-07-24T04:20:35.7944070Z         >>> # xdoctest: +SKIP("undefined variables")
2025-07-24T04:20:35.7944170Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-07-24T04:20:35.7944290Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:35.7944330Z         ... )
2025-07-24T04:20:35.7944440Z         >>> # outputs line plot of per_channel_min information for all
2025-07-24T04:20:35.7944560Z         >>> # modules in block1 of model each channel gets it's own line,
2025-07-24T04:20:35.7944680Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-07-24T04:20:35.7944730Z     
2025-07-24T04:20:35.7944890Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7944940Z     
2025-07-24T04:20:35.7944990Z       warnings.warn(msg)
2025-07-24T04:20:35.7945030Z     
2025-07-24T04:20:35.7945160Z --- Parse Warning: 128 / 136 ---
2025-07-24T04:20:35.7946030Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-07-24T04:20:35.7946190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7946230Z     
2025-07-24T04:20:35.7946400Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-07-24T04:20:35.7946440Z     
2025-07-24T04:20:35.7946490Z     Note:
2025-07-24T04:20:35.7946650Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-07-24T04:20:35.7946810Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-07-24T04:20:35.7946960Z             a specific model, make sure to specify both the model and the feature properly
2025-07-24T04:20:35.7947110Z             in the filters and you should be able to see a distribution of the channel data
2025-07-24T04:20:35.7947150Z     
2025-07-24T04:20:35.7947190Z     Args:
2025-07-24T04:20:35.7947350Z         feature_filter (str, optional): Filters the features presented to only those that
2025-07-24T04:20:35.7947410Z             contain this filter substring
2025-07-24T04:20:35.7947510Z             Default = "", results in all the features being printed
2025-07-24T04:20:35.7947680Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-07-24T04:20:35.7947830Z             Default = "", results in all the modules in the reports to be visible in the table
2025-07-24T04:20:35.7947960Z         num_bins (int, optional): The number of bins to create the histogram with
2025-07-24T04:20:35.7948080Z             Default = 10, the values will be split into 10 equal sized bins
2025-07-24T04:20:35.7948120Z     
2025-07-24T04:20:35.7948170Z     Example Use:
2025-07-24T04:20:35.7948220Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7948400Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-07-24T04:20:35.7948520Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-07-24T04:20:35.7948560Z         ... )
2025-07-24T04:20:35.7948730Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-07-24T04:20:35.7948890Z             information is gathered across all channels for all modules in block 1 for the
2025-07-24T04:20:35.7949020Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-07-24T04:20:35.7949060Z     
2025-07-24T04:20:35.7949210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7949250Z     
2025-07-24T04:20:35.7949300Z       warnings.warn(msg)
2025-07-24T04:20:35.7949340Z     
2025-07-24T04:20:35.7949440Z --- Parse Warning: 129 / 136 ---
2025-07-24T04:20:35.7950190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-07-24T04:20:35.7950350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7950410Z     
2025-07-24T04:20:35.7950590Z     The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-07-24T04:20:35.7950790Z     with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-07-24T04:20:35.7950980Z     though the requirements on the type of model more-so depends on the specific report the user
2025-07-24T04:20:35.7951180Z     is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-07-24T04:20:35.7951350Z     a set of Detector classes, each of which generate reports on quantization configuration
2025-07-24T04:20:35.7951410Z     issues a use might have.
2025-07-24T04:20:35.7951450Z     
2025-07-24T04:20:35.7951520Z     Currently supports generating reports on:
2025-07-24T04:20:35.7951660Z     - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-07-24T04:20:35.7951830Z     - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-07-24T04:20:35.7952000Z     - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-07-24T04:20:35.7952130Z     - Suggestions for outlier detection for all layers (Graph Modules)
2025-07-24T04:20:35.7952170Z     
2025-07-24T04:20:35.7952410Z     The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-07-24T04:20:35.7952640Z     where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-07-24T04:20:35.7952860Z     class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-07-24T04:20:35.7952990Z     has the capability to remove all the observers it inserted as well.
2025-07-24T04:20:35.7953030Z     
2025-07-24T04:20:35.7953210Z     * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-07-24T04:20:35.7953250Z     
2025-07-24T04:20:35.7953470Z     * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-07-24T04:20:35.7953660Z         Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-07-24T04:20:35.7953710Z     
2025-07-24T04:20:35.7953880Z     * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-07-24T04:20:35.7954020Z         This set is generated by calling the get_detector_name() of each detector
2025-07-24T04:20:35.7954060Z     
2025-07-24T04:20:35.7954260Z     * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-07-24T04:20:35.7954450Z         The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-07-24T04:20:35.7954520Z         can be removed at the end if desired
2025-07-24T04:20:35.7954560Z     
2025-07-24T04:20:35.7954750Z     * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-07-24T04:20:35.7954890Z         This is to ensure we only insert observers once with the ModelReport instance
2025-07-24T04:20:35.7954930Z     
2025-07-24T04:20:35.7955090Z     * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-07-24T04:20:35.7955260Z         The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-07-24T04:20:35.7955460Z         instance. This also allows the functionality where we can generate the report multiple times
2025-07-24T04:20:35.7955610Z         as long as we haven't removed the observers yet.
2025-07-24T04:20:35.7955650Z     
2025-07-24T04:20:35.7955690Z     Note:
2025-07-24T04:20:35.7955870Z         This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-07-24T04:20:35.7956060Z         full functionality is available as long as there is a traceable GraphModule that is being used.
2025-07-24T04:20:35.7956270Z         One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-07-24T04:20:35.7956330Z         the QuantizationTracer class.
2025-07-24T04:20:35.7956370Z     
2025-07-24T04:20:35.7956450Z     General Flow for Fx workflow:
2025-07-24T04:20:35.7956680Z     1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-07-24T04:20:35.7956770Z     2.) Prepare your model with prepare_fx
2025-07-24T04:20:35.7956920Z     3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-07-24T04:20:35.7956990Z     4.) Calibrate your model with data
2025-07-24T04:20:35.7957200Z     5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-07-24T04:20:35.7957250Z     Optional
2025-07-24T04:20:35.7957410Z         6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-07-24T04:20:35.7957560Z         7.) To help in parsing report information and debugging, view report info as a:
2025-07-24T04:20:35.7957600Z             - Table
2025-07-24T04:20:35.7957660Z             - Histogram
2025-07-24T04:20:35.7957700Z             - Line plot
2025-07-24T04:20:35.7957900Z     8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-07-24T04:20:35.7957940Z     
2025-07-24T04:20:35.7958010Z     Example (with QuantizationTracer):
2025-07-24T04:20:35.7958060Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7958120Z         >>> # get the necessary qconfig
2025-07-24T04:20:35.7958190Z         >>> config = PrepareCustomConfig()
2025-07-24T04:20:35.7958280Z         >>> skipped_module_names, skipped_module_classes = (
2025-07-24T04:20:35.7958390Z         ...     get_skipped_module_name_and_classes(config, False)
2025-07-24T04:20:35.7958430Z         ... )
2025-07-24T04:20:35.7958470Z     
2025-07-24T04:20:35.7958550Z         >>> # initialize our model and get GraphModule
2025-07-24T04:20:35.7958600Z         >>> model = SomeModel()
2025-07-24T04:20:35.7958750Z         >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-07-24T04:20:35.7958860Z         >>> graph_module = GraphModule(model, tracer.trace(model))
2025-07-24T04:20:35.7958900Z     
2025-07-24T04:20:35.7959000Z         >>> # get our set of detectors and ModelReport instance
2025-07-24T04:20:35.7959050Z         >>> detector_set = set(
2025-07-24T04:20:35.7959090Z         ...     [
2025-07-24T04:20:35.7959180Z         ...         DynamicStaticDetector(tolerance=0.5),
2025-07-24T04:20:35.7959300Z         ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-07-24T04:20:35.7959340Z         ...     ]
2025-07-24T04:20:35.7959380Z         ... )
2025-07-24T04:20:35.7959510Z         >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-07-24T04:20:35.7959550Z     
2025-07-24T04:20:35.7959650Z         >>> # now we insert the observers and calibrate the model
2025-07-24T04:20:35.7959800Z         >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-07-24T04:20:35.7959890Z         >>> for i in range(num_callibration_batches):
2025-07-24T04:20:35.7959970Z         >>>     example_input = get_callibration_input()
2025-07-24T04:20:35.7960050Z         >>>     tracer_model_with_observers(example_input)
2025-07-24T04:20:35.7960090Z     
2025-07-24T04:20:35.7960250Z         >>> # finally we generate the reports and optionally remove the observers we inserted
2025-07-24T04:20:35.7960350Z         >>> reports = tracer_reporter.generate_model_report(
2025-07-24T04:20:35.7960440Z         ...     remove_inserted_observers=True
2025-07-24T04:20:35.7960480Z         ... )
2025-07-24T04:20:35.7960520Z     
2025-07-24T04:20:35.7960660Z         >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-07-24T04:20:35.7960750Z         >>> qconfigs = model_report.generate_qconfig_mapping()
2025-07-24T04:20:35.7960800Z     
2025-07-24T04:20:35.7960940Z         >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-07-24T04:20:35.7961080Z         >>> qconfigs = model_report.generate_equalization_mapping()
2025-07-24T04:20:35.7961120Z     
2025-07-24T04:20:35.7961320Z         >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-07-24T04:20:35.7961450Z         >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-07-24T04:20:35.7961500Z     
2025-07-24T04:20:35.7961540Z     
2025-07-24T04:20:35.7961700Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7961740Z     
2025-07-24T04:20:35.7961790Z       warnings.warn(msg)
2025-07-24T04:20:35.7961830Z     
2025-07-24T04:20:35.7961940Z --- Parse Warning: 130 / 136 ---
2025-07-24T04:20:35.7962690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-07-24T04:20:35.7962840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7962950Z     Squashes the sparse masks into the appropriate tensors.
2025-07-24T04:20:35.7962990Z     
2025-07-24T04:20:35.7963120Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-07-24T04:20:35.7963230Z             the module will have a `sparse_params` dict attached to it.
2025-07-24T04:20:35.7963280Z     
2025-07-24T04:20:35.7963320Z             Args:
2025-07-24T04:20:35.7963440Z                 params_to_keep: List of keys to save in the module or a dict
2025-07-24T04:20:35.7963540Z                                 representing the modules and keys that will have
2025-07-24T04:20:35.7963610Z                                 sparsity parameters saved
2025-07-24T04:20:35.7963750Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-07-24T04:20:35.7963850Z                                 saved for specific layers. The keys in the dict
2025-07-24T04:20:35.7963950Z                                 should be the module fqn, while the values should
2025-07-24T04:20:35.7964050Z                                 be a list of strings with the names of the variables
2025-07-24T04:20:35.7964130Z                                 to save in the `sparse_params`
2025-07-24T04:20:35.7964170Z     
2025-07-24T04:20:35.7964220Z             Examples:
2025-07-24T04:20:35.7964300Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-07-24T04:20:35.7964370Z                 >>> # Don't save any sparse params
2025-07-24T04:20:35.7964440Z                 >>> sparsifier.squash_mask()
2025-07-24T04:20:35.7964520Z                 >>> hasattr(model.submodule1, "sparse_params")
2025-07-24T04:20:35.7964570Z                 False
2025-07-24T04:20:35.7964610Z     
2025-07-24T04:20:35.7964680Z                 >>> # Keep sparse params per layer
2025-07-24T04:20:35.7964750Z                 >>> sparsifier.squash_mask(
2025-07-24T04:20:35.7964810Z                 ...     params_to_keep_per_layer={
2025-07-24T04:20:35.7964900Z                 ...         "submodule1.linear1": ("foo", "bar"),
2025-07-24T04:20:35.7964980Z                 ...         "submodule2.linear42": ("baz",),
2025-07-24T04:20:35.7965030Z                 ...     }
2025-07-24T04:20:35.7965070Z                 ... )
2025-07-24T04:20:35.7965170Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:35.7965270Z                 {'foo': 42, 'bar': 24}
2025-07-24T04:20:35.7965370Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:35.7965420Z                 {'baz': 0.1}
2025-07-24T04:20:35.7965460Z     
2025-07-24T04:20:35.7965540Z                 >>> # Keep sparse params for all layers
2025-07-24T04:20:35.7965650Z                 >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-07-24T04:20:35.7965770Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:35.7965830Z                 {'foo': 42, 'bar': 24}
2025-07-24T04:20:35.7965950Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:35.7966000Z                 {'foo': 42, 'bar': 24}
2025-07-24T04:20:35.7966050Z     
2025-07-24T04:20:35.7966200Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-07-24T04:20:35.7966260Z                 >>> # some other layers
2025-07-24T04:20:35.7966320Z                 >>> sparsifier.squash_mask(
2025-07-24T04:20:35.7966390Z                 ...     params_to_keep=("foo", "bar"),
2025-07-24T04:20:35.7966510Z                 ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-07-24T04:20:35.7966560Z                 ... )
2025-07-24T04:20:35.7966650Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-07-24T04:20:35.7966710Z                 {'foo': 42, 'bar': 24}
2025-07-24T04:20:35.7966810Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-07-24T04:20:35.7966870Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-07-24T04:20:35.7966920Z             
2025-07-24T04:20:35.7967070Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7967110Z     
2025-07-24T04:20:35.7967160Z       warnings.warn(msg)
2025-07-24T04:20:35.7967200Z     
2025-07-24T04:20:35.7967300Z --- Parse Warning: 131 / 136 ---
2025-07-24T04:20:35.7968120Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-07-24T04:20:35.7968280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7968320Z     
2025-07-24T04:20:35.7968470Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-07-24T04:20:35.7968620Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-07-24T04:20:35.7968760Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-07-24T04:20:35.7968810Z     input by the user.
2025-07-24T04:20:35.7968970Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-07-24T04:20:35.7969070Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-07-24T04:20:35.7969110Z     
2025-07-24T04:20:35.7969150Z     Note::
2025-07-24T04:20:35.7969350Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-07-24T04:20:35.7969390Z     
2025-07-24T04:20:35.7969430Z     Args:
2025-07-24T04:20:35.7969480Z         model (nn.Module):
2025-07-24T04:20:35.7969620Z             The model whose layers will be sparsified. The layers that needs to be
2025-07-24T04:20:35.7969770Z             sparsified should be added separately using the register_layer() function
2025-07-24T04:20:35.7969840Z         aggregate_fn (Optional, Callable):
2025-07-24T04:20:35.7969990Z             default aggregate_fn that is used if not specified while registering the layer.
2025-07-24T04:20:35.7970100Z             specifies how inputs should be aggregated over time.
2025-07-24T04:20:35.7970270Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-07-24T04:20:35.7970340Z             Example
2025-07-24T04:20:35.7970450Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-07-24T04:20:35.7970520Z                 reduce_fn (Optional, Callable):
2025-07-24T04:20:35.7970670Z                     default reduce_fn that is used if not specified while registering the layer.
2025-07-24T04:20:35.7970820Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-07-24T04:20:35.7970920Z                     calling agg_fn() on all inputs.
2025-07-24T04:20:35.7970970Z                     Example
2025-07-24T04:20:35.7971130Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-07-24T04:20:35.7971200Z                 mask_fn (Optional, Callable):
2025-07-24T04:20:35.7971400Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-07-24T04:20:35.7971560Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-07-24T04:20:35.7971620Z                     register_layer().
2025-07-24T04:20:35.7971830Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-07-24T04:20:35.7971880Z                     arguments.
2025-07-24T04:20:35.7971940Z                 features (Optional, list):
2025-07-24T04:20:35.7972030Z                     default selected features to sparsify.
2025-07-24T04:20:35.7972190Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-07-24T04:20:35.7972250Z                     For example,
2025-07-24T04:20:35.7972400Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-07-24T04:20:35.7972470Z                 feature_dim (Optional, int):
2025-07-24T04:20:35.7972640Z                     default dimension of input features. Again, features along this dim will be chosen
2025-07-24T04:20:35.7972700Z                     for sparsification.
2025-07-24T04:20:35.7972760Z                 sparse_config (Dict):
2025-07-24T04:20:35.7972890Z                     Default configuration for the mask_fn. This config will be passed
2025-07-24T04:20:35.7972950Z                     with the mask_fn()
2025-07-24T04:20:35.7972990Z     
2025-07-24T04:20:35.7973040Z     Example:
2025-07-24T04:20:35.7973090Z         >>> # xdoctest: +SKIP
2025-07-24T04:20:35.7973140Z         >>> model = SomeModel()
2025-07-24T04:20:35.7973290Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-07-24T04:20:35.7973350Z         >>> # Initialize aggregate_fn
2025-07-24T04:20:35.7973400Z         >>> def agg_fn(x, y):
2025-07-24T04:20:35.7973460Z         >>>     return x + y
2025-07-24T04:20:35.7973500Z         >>>
2025-07-24T04:20:35.7973550Z         >>> # Initialize reduce_fn
2025-07-24T04:20:35.7973610Z         >>> def reduce_fn(x):
2025-07-24T04:20:35.7973670Z         >>>     return torch.mean(x, dim=0)
2025-07-24T04:20:35.7973710Z         >>>
2025-07-24T04:20:35.7973770Z         >>> # Initialize mask_fn
2025-07-24T04:20:35.7973820Z         >>> def mask_fn(data):
2025-07-24T04:20:35.7973910Z         >>>     return torch.eye(data.shape).to(data.device)
2025-07-24T04:20:35.7973950Z         >>>
2025-07-24T04:20:35.7973990Z         >>>
2025-07-24T04:20:35.7974060Z         >>> act_sparsifier.register_layer(
2025-07-24T04:20:35.7974120Z         ...     model.some_layer,
2025-07-24T04:20:35.7974170Z         ...     aggregate_fn=agg_fn,
2025-07-24T04:20:35.7974230Z         ...     reduce_fn=reduce_fn,
2025-07-24T04:20:35.7974280Z         ...     mask_fn=mask_fn,
2025-07-24T04:20:35.7974320Z         ... )
2025-07-24T04:20:35.7974360Z         >>>
2025-07-24T04:20:35.7974420Z         >>> # start training process
2025-07-24T04:20:35.7974470Z         >>> for _ in [...]:
2025-07-24T04:20:35.7974530Z         >>> # epoch starts
2025-07-24T04:20:35.7974680Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-07-24T04:20:35.7974730Z         >>> # epoch ends
2025-07-24T04:20:35.7974790Z         >>>     act_sparsifier.step()
2025-07-24T04:20:35.7974850Z         >>> # end training process
2025-07-24T04:20:35.7974900Z         >>> sparsifier.squash_mask()
2025-07-24T04:20:35.7974950Z     
2025-07-24T04:20:35.7975100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7975170Z     
2025-07-24T04:20:35.7975220Z       warnings.warn(msg)
2025-07-24T04:20:35.7975260Z     
2025-07-24T04:20:35.7975370Z --- Parse Warning: 132 / 136 ---
2025-07-24T04:20:35.7976230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-07-24T04:20:35.7976400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7976440Z     
2025-07-24T04:20:35.7976560Z     Abstract method that needs to be implemented by the child class.
2025-07-24T04:20:35.7976710Z     The expected return type should is a dictionary of name to schedule_param value
2025-07-24T04:20:35.7976880Z     The returned values will be updated in sparsifier when the scheduler step() function
2025-07-24T04:20:35.7976920Z     is called.
2025-07-24T04:20:35.7976970Z     
2025-07-24T04:20:35.7977010Z     Example:
2025-07-24T04:20:35.7977070Z         >>> def get_schedule_param(self):
2025-07-24T04:20:35.7977130Z         ...     new_param = {}
2025-07-24T04:20:35.7977230Z         ...     for name in self.sparsifier.data_groups.keys():
2025-07-24T04:20:35.7977280Z         ...         new_param[name] = (
2025-07-24T04:20:35.7977410Z         ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-07-24T04:20:35.7977460Z         ...         )
2025-07-24T04:20:35.7977520Z         ...     return new_param
2025-07-24T04:20:35.7977560Z     
2025-07-24T04:20:35.7977760Z     When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-07-24T04:20:35.7977810Z     would be halved
2025-07-24T04:20:35.7977850Z     
2025-07-24T04:20:35.7978000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7978040Z     
2025-07-24T04:20:35.7978100Z       warnings.warn(msg)
2025-07-24T04:20:35.7978140Z     
2025-07-24T04:20:35.7978240Z --- Parse Warning: 133 / 136 ---
2025-07-24T04:20:35.7978940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-07-24T04:20:35.7979100Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7979140Z     
2025-07-24T04:20:35.7979250Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-07-24T04:20:35.7979370Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-07-24T04:20:35.7979500Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-07-24T04:20:35.7979620Z     so the values are in (0, 1), and has reparametrizable samples.
2025-07-24T04:20:35.7979660Z     
2025-07-24T04:20:35.7979700Z     Example::
2025-07-24T04:20:35.7979740Z     
2025-07-24T04:20:35.7979830Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:35.7979910Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-07-24T04:20:35.7979990Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-07-24T04:20:35.7980040Z         >>> m.sample()
2025-07-24T04:20:35.7980110Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-07-24T04:20:35.7980180Z     
2025-07-24T04:20:35.7982920Z     Args:
2025-07-24T04:20:35.7983020Z         temperature (Tensor): relaxation temperature
2025-07-24T04:20:35.7983130Z         probs (Number, Tensor): the probability of sampling `1`
2025-07-24T04:20:35.7983230Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-07-24T04:20:35.7983270Z     
2025-07-24T04:20:35.7983420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7983530Z     
2025-07-24T04:20:35.7983580Z       warnings.warn(msg)
2025-07-24T04:20:35.7983620Z     
2025-07-24T04:20:35.7983740Z --- Parse Warning: 134 / 136 ---
2025-07-24T04:20:35.7984530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-07-24T04:20:35.7984700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7984740Z     
2025-07-24T04:20:35.7984870Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-07-24T04:20:35.7984990Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-07-24T04:20:35.7985140Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-07-24T04:20:35.7985240Z     its samples are on simplex, and are reparametrizable.
2025-07-24T04:20:35.7985290Z     
2025-07-24T04:20:35.7985340Z     Example::
2025-07-24T04:20:35.7985380Z     
2025-07-24T04:20:35.7985460Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:35.7985560Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-07-24T04:20:35.7985650Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-07-24T04:20:35.7985690Z         >>> m.sample()
2025-07-24T04:20:35.7985770Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-07-24T04:20:35.7985810Z     
2025-07-24T04:20:35.7985850Z     Args:
2025-07-24T04:20:35.7985940Z         temperature (Tensor): relaxation temperature
2025-07-24T04:20:35.7986000Z         probs (Tensor): event probabilities
2025-07-24T04:20:35.7986120Z         logits (Tensor): unnormalized log probability for each event
2025-07-24T04:20:35.7986160Z     
2025-07-24T04:20:35.7986310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7986350Z     
2025-07-24T04:20:35.7986400Z       warnings.warn(msg)
2025-07-24T04:20:35.7986440Z     
2025-07-24T04:20:35.7986550Z --- Parse Warning: 135 / 136 ---
2025-07-24T04:20:35.7987310Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-07-24T04:20:35.7987470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7987510Z     
2025-07-24T04:20:35.7987690Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-07-24T04:20:35.7987800Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-07-24T04:20:35.7987840Z     
2025-07-24T04:20:35.7987950Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-07-24T04:20:35.7987990Z     
2025-07-24T04:20:35.7988040Z     Example:
2025-07-24T04:20:35.7988120Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-07-24T04:20:35.7988210Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-07-24T04:20:35.7988280Z         >>> m = LowRankMultivariateNormal(
2025-07-24T04:20:35.7988400Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-07-24T04:20:35.7988480Z         ... )
2025-07-24T04:20:35.7988660Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-07-24T04:20:35.7988710Z         tensor([-0.2102, -0.5429])
2025-07-24T04:20:35.7988750Z     
2025-07-24T04:20:35.7988790Z     Args:
2025-07-24T04:20:35.7988940Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-07-24T04:20:35.7989090Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-07-24T04:20:35.7989190Z             `batch_shape + event_shape + (rank,)`
2025-07-24T04:20:35.7989340Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-07-24T04:20:35.7989420Z             `batch_shape + event_shape`
2025-07-24T04:20:35.7989460Z     
2025-07-24T04:20:35.7989510Z     Note:
2025-07-24T04:20:35.7989700Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-07-24T04:20:35.7989850Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-07-24T04:20:35.7989990Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-07-24T04:20:35.7990170Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-07-24T04:20:35.7990310Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-07-24T04:20:35.7990390Z         the small size "capacitance" matrix::
2025-07-24T04:20:35.7990430Z     
2025-07-24T04:20:35.7990550Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-07-24T04:20:35.7990590Z     
2025-07-24T04:20:35.7990740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7990780Z     
2025-07-24T04:20:35.7990840Z       warnings.warn(msg)
2025-07-24T04:20:35.7990880Z     
2025-07-24T04:20:35.7990980Z --- Parse Warning: 136 / 136 ---
2025-07-24T04:20:35.7991690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-07-24T04:20:35.7991850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-07-24T04:20:35.7991890Z     
2025-07-24T04:20:35.7992030Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-07-24T04:20:35.7992180Z     distribution where all component are from different parameterizations of
2025-07-24T04:20:35.7992310Z     the same distribution type. It is parameterized by a `Categorical`
2025-07-24T04:20:35.7992440Z     "selecting distribution" (over `k` component) and a component
2025-07-24T04:20:35.7992560Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-07-24T04:20:35.7992670Z     (equal to `[k]`) which indexes each (batch of) component.
2025-07-24T04:20:35.7992710Z     
2025-07-24T04:20:35.7992760Z     Examples::
2025-07-24T04:20:35.7992800Z     
2025-07-24T04:20:35.7992870Z         >>> # xdoctest: +SKIP("undefined vars")
2025-07-24T04:20:35.7993000Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-07-24T04:20:35.7993060Z         >>> # weighted normal distributions
2025-07-24T04:20:35.7993140Z         >>> mix = D.Categorical(torch.ones(5,))
2025-07-24T04:20:35.7993230Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-07-24T04:20:35.7993310Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:35.7993350Z     
2025-07-24T04:20:35.7993470Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-07-24T04:20:35.7993550Z         >>> # weighted bivariate normal distributions
2025-07-24T04:20:35.7993620Z         >>> mix = D.Categorical(torch.ones(5,))
2025-07-24T04:20:35.7993690Z         >>> comp = D.Independent(D.Normal(
2025-07-24T04:20:35.7993770Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-07-24T04:20:35.7993870Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:35.7993910Z     
2025-07-24T04:20:35.7994020Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-07-24T04:20:35.7994150Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-07-24T04:20:35.7994220Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-07-24T04:20:35.7994280Z         >>> comp = D.Independent(D.Normal(
2025-07-24T04:20:35.7994390Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-07-24T04:20:35.7994460Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-07-24T04:20:35.7994500Z     
2025-07-24T04:20:35.7994570Z     Args:
2025-07-24T04:20:35.7994700Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-07-24T04:20:35.7994840Z             instance. Manages the probability of selecting component.
2025-07-24T04:20:35.7994950Z             The number of categories must match the rightmost batch
2025-07-24T04:20:35.7995070Z             dimension of the `component_distribution`. Must have either
2025-07-24T04:20:35.7995160Z             scalar `batch_shape` or `batch_shape` matching
2025-07-24T04:20:35.7995240Z             `component_distribution.batch_shape[:-1]`
2025-07-24T04:20:35.7995380Z         component_distribution: `torch.distributions.Distribution`-like
2025-07-24T04:20:35.7995490Z             instance. Right-most batch dimension indexes component.
2025-07-24T04:20:35.7995530Z     
2025-07-24T04:20:35.7995680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-07-24T04:20:35.7995730Z     
2025-07-24T04:20:35.7995780Z       warnings.warn(msg)
2025-07-24T04:20:35.7995820Z     
2025-07-24T04:20:35.7995880Z 
2025-07-24T04:20:35.7995980Z === Found 9 run-time warnings ===
2025-07-24T04:20:35.7996080Z --- Runtime Warning: 1 / 9 ---
2025-07-24T04:20:35.7996260Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 258) at 0x1375b9dc0>
2025-07-24T04:20:35.7996700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/library.py:296: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-07-24T04:20:35.7996890Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-07-24T04:20:35.7997020Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-07-24T04:20:35.7997240Z         registered at /Users/ec2-user/runner/_work/pytorch/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6
2025-07-24T04:20:35.7997300Z       dispatch key: CPU
2025-07-24T04:20:35.7997590Z       previous kernel: registered at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-07-24T04:20:35.7997950Z            new kernel: registered at /dev/null:811 (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.)
2025-07-24T04:20:35.7998050Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-07-24T04:20:35.7998100Z     
2025-07-24T04:20:35.7998200Z --- Runtime Warning: 2 / 9 ---
2025-07-24T04:20:35.7998350Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x101887680>
2025-07-24T04:20:35.7999220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/c10/core/TensorImpl.h:1978.)
2025-07-24T04:20:35.7999300Z       return super().refine_names(names)
2025-07-24T04:20:35.7999340Z     
2025-07-24T04:20:35.7999440Z --- Runtime Warning: 3 / 9 ---
2025-07-24T04:20:35.7999590Z example = <DocTest(torch.sparse as_sparse_gradcheck:0 ln 561) at 0x137de2c00>
2025-07-24T04:20:35.8000690Z     <doctest:/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0>:1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/SparseCsrTensorImpl.cpp:55.)
2025-07-24T04:20:35.8000760Z     
2025-07-24T04:20:35.8000860Z --- Runtime Warning: 4 / 9 ---
2025-07-24T04:20:35.8001000Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x137de35c0>
2025-07-24T04:20:35.8002190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-07-24T04:20:35.8002350Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-07-24T04:20:35.8002390Z     
2025-07-24T04:20:35.8002490Z --- Runtime Warning: 5 / 9 ---
2025-07-24T04:20:35.8002670Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x137de3da0>
2025-07-24T04:20:35.8003590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-07-24T04:20:35.8003700Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-07-24T04:20:35.8003740Z     
2025-07-24T04:20:35.8003840Z --- Runtime Warning: 6 / 9 ---
2025-07-24T04:20:35.8004000Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x137d34b30>
2025-07-24T04:20:35.8004540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-07-24T04:20:35.8004610Z       WeightNorm.apply(module, name, dim)
2025-07-24T04:20:35.8004660Z     
2025-07-24T04:20:35.8004750Z --- Runtime Warning: 7 / 9 ---
2025-07-24T04:20:35.8004930Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x137d35460>
2025-07-24T04:20:35.8005460Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-07-24T04:20:35.8005530Z       WeightNorm.apply(module, name, dim)
2025-07-24T04:20:35.8005580Z     
2025-07-24T04:20:35.8005680Z --- Runtime Warning: 8 / 9 ---
2025-07-24T04:20:35.8005840Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x137d5fe60>
2025-07-24T04:20:35.8006530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-07-24T04:20:35.8006580Z       warnings.warn(
2025-07-24T04:20:35.8006630Z     
2025-07-24T04:20:35.8006720Z --- Runtime Warning: 9 / 9 ---
2025-07-24T04:20:35.8006910Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x137d5f830>
2025-07-24T04:20:35.8007620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-07-24T04:20:35.8007670Z       warnings.warn(
2025-07-24T04:20:35.8007710Z     
2025-07-24T04:20:35.8007910Z === 342 passed, 378 skipped, 145 warnings in 9.17 seconds ===
2025-07-24T04:20:37.0818130Z running install
2025-07-24T04:20:37.0819290Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:20:37.0819860Z !!
2025-07-24T04:20:37.0819930Z 
2025-07-24T04:20:37.0820080Z         ********************************************************************************
2025-07-24T04:20:37.0820340Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:20:37.0820590Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:20:37.0820810Z         standards-based tools.
2025-07-24T04:20:37.0820940Z 
2025-07-24T04:20:37.0821130Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:20:37.0821450Z         ********************************************************************************
2025-07-24T04:20:37.0821620Z 
2025-07-24T04:20:37.0821660Z !!
2025-07-24T04:20:37.0821780Z   self.initialize_options()
2025-07-24T04:20:37.0885060Z running build
2025-07-24T04:20:37.0885230Z running build_py
2025-07-24T04:20:37.0914760Z creating build
2025-07-24T04:20:37.0915300Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-07-24T04:20:37.0915900Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:20:37.0916730Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:20:37.0919690Z running build_ext
2025-07-24T04:20:37.0927470Z building 'torch_test_cpp_extension.cpp' extension
2025-07-24T04:20:37.0927800Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-07-24T04:20:37.0930980Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-07-24T04:20:43.7396940Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-07-24T04:20:43.7883780Z building 'torch_test_cpp_extension.maia' extension
2025-07-24T04:20:43.7886800Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-07-24T04:20:50.2209450Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-07-24T04:20:50.2637450Z building 'torch_test_cpp_extension.rng' extension
2025-07-24T04:20:50.2640810Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-07-24T04:20:57.3403350Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-07-24T04:20:57.3832740Z building 'torch_test_cpp_extension.mps' extension
2025-07-24T04:20:57.3835780Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-07-24T04:21:01.0086560Z In file included from mps_extension.mm:2:
2025-07-24T04:21:01.0087120Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-07-24T04:21:01.0088160Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-07-24T04:21:01.0088990Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-07-24T04:21:01.0089260Z   ^
2025-07-24T04:21:01.0090070Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-07-24T04:21:01.0091230Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-07-24T04:21:01.0091510Z            ^
2025-07-24T04:21:01.0092070Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-07-24T04:21:01.0092670Z class TORCH_API MPSStream {
2025-07-24T04:21:01.0092890Z                 ^
2025-07-24T04:21:01.0093040Z       API_AVAILABLE(macos(12.0))
2025-07-24T04:21:03.7784450Z 1 warning generated.
2025-07-24T04:21:03.7886690Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-07-24T04:21:03.8307210Z running install_lib
2025-07-24T04:21:03.8346010Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:03.8350530Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:03.8353940Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:03.8357570Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:03.8363210Z running install_egg_info
2025-07-24T04:21:03.8443230Z running egg_info
2025-07-24T04:21:03.8469200Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-07-24T04:21:03.8473810Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-07-24T04:21:03.8474980Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-07-24T04:21:03.8476400Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-07-24T04:21:03.8510110Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:21:03.8513870Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:21:03.8514830Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-07-24T04:21:03.8519140Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-07-24T04:21:03.8530830Z running install_scripts
2025-07-24T04:21:05.5298220Z 
2025-07-24T04:21:05.5298450Z Running tests...
2025-07-24T04:21:05.5298690Z ----------------------------------------------------------------------
2025-07-24T04:21:05.6226890Z .
2025-07-24T04:21:05.6227120Z ----------------------------------------------------------------------
2025-07-24T04:21:05.6227370Z Ran 1 test in 0.093s
2025-07-24T04:21:05.6227470Z 
2025-07-24T04:21:05.6227520Z OK
2025-07-24T04:21:05.6227580Z 
2025-07-24T04:21:05.6227650Z Generating XML reports...
2025-07-24T04:21:05.9490110Z Running test_autoload_enable 1/1 ... [2025-07-24 04:21:05.948891]
2025-07-24T04:21:07.3225680Z running install
2025-07-24T04:21:07.3226590Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-07-24T04:21:07.3227410Z !!
2025-07-24T04:21:07.3227480Z 
2025-07-24T04:21:07.3227590Z         ********************************************************************************
2025-07-24T04:21:07.3227840Z         Please avoid running ``setup.py`` directly.
2025-07-24T04:21:07.3228100Z         Instead, use pypa/build, pypa/installer or other
2025-07-24T04:21:07.3228330Z         standards-based tools.
2025-07-24T04:21:07.3228460Z 
2025-07-24T04:21:07.3228860Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-07-24T04:21:07.3229200Z         ********************************************************************************
2025-07-24T04:21:07.3229360Z 
2025-07-24T04:21:07.3229460Z !!
2025-07-24T04:21:07.3229590Z   self.initialize_options()
2025-07-24T04:21:07.3294100Z running build
2025-07-24T04:21:07.3294370Z running build_py
2025-07-24T04:21:07.3324460Z creating build
2025-07-24T04:21:07.3324920Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-07-24T04:21:07.3325530Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:21:07.3326250Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-07-24T04:21:07.3329370Z running build_ext
2025-07-24T04:21:07.3337440Z building 'torch_test_cpp_extension.cpp' extension
2025-07-24T04:21:07.3337760Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-07-24T04:21:07.3341050Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-07-24T04:21:13.9519300Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-07-24T04:21:13.9950930Z building 'torch_test_cpp_extension.maia' extension
2025-07-24T04:21:13.9954440Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-07-24T04:21:20.4317450Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-07-24T04:21:20.4747370Z building 'torch_test_cpp_extension.rng' extension
2025-07-24T04:21:20.4750550Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-07-24T04:21:27.5399020Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-07-24T04:21:27.5831570Z building 'torch_test_cpp_extension.mps' extension
2025-07-24T04:21:27.5834390Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-07-24T04:21:31.2008190Z In file included from mps_extension.mm:2:
2025-07-24T04:21:31.2008760Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-07-24T04:21:31.2009820Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-07-24T04:21:31.2010660Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-07-24T04:21:31.2010920Z   ^
2025-07-24T04:21:31.2011690Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-07-24T04:21:31.2012600Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-07-24T04:21:31.2012870Z            ^
2025-07-24T04:21:31.2013420Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-07-24T04:21:31.2014010Z class TORCH_API MPSStream {
2025-07-24T04:21:31.2014180Z                 ^
2025-07-24T04:21:31.2014320Z       API_AVAILABLE(macos(12.0))
2025-07-24T04:21:33.9776100Z 1 warning generated.
2025-07-24T04:21:33.9878140Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-07-24T04:21:34.0303960Z running install_lib
2025-07-24T04:21:34.0342770Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:34.0347580Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:34.0350750Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:34.0354200Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension
2025-07-24T04:21:34.0359870Z running install_egg_info
2025-07-24T04:21:34.0432510Z running egg_info
2025-07-24T04:21:34.0457920Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-07-24T04:21:34.0462570Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-07-24T04:21:34.0463640Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-07-24T04:21:34.0465470Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-07-24T04:21:34.0499480Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:21:34.0503500Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-07-24T04:21:34.0504570Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-07-24T04:21:34.0508880Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-07-24T04:21:34.0520530Z running install_scripts
2025-07-24T04:21:35.7273010Z 
2025-07-24T04:21:35.7273300Z Running tests...
2025-07-24T04:21:35.7273550Z ----------------------------------------------------------------------
2025-07-24T04:21:35.8192120Z .
2025-07-24T04:21:35.8192380Z ----------------------------------------------------------------------
2025-07-24T04:21:35.8192640Z Ran 1 test in 0.092s
2025-07-24T04:21:35.8192750Z 
2025-07-24T04:21:35.8192790Z OK
2025-07-24T04:21:35.8192860Z 
2025-07-24T04:21:35.8192930Z Generating XML reports...
2025-07-24T04:21:36.1417330Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-07-24 04:21:36.141600]
2025-07-24T04:21:36.1417690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:36.1421200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_aot_inductor_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:36.142005]
2025-07-24T04:21:36.1422190Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-07-24T04:21:36.1422510Z Uploading artifacts took 0.00 seconds
2025-07-24T04:21:38.3913990Z 
2025-07-24T04:21:38.3914620Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_ed2757552bcb7ac0_.log
2025-07-24T04:21:38.3915680Z Running 0 items in this shard:
2025-07-24T04:21:38.3915930Z 
2025-07-24T04:21:38.3919280Z Running inductor/test_torchinductor_opinfo 3/14 ... [2025-07-24 04:21:38.391855]
2025-07-24T04:21:38.3919750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:38.3922050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=3', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:38.392123]
2025-07-24T04:21:41.6298610Z 
2025-07-24T04:21:41.6299320Z inductor/test_torchinductor_opinfo 3/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.14_5ddd71d29faf03f1_.log
2025-07-24T04:21:41.6300210Z Running 0 items in this shard:
2025-07-24T04:21:41.6300370Z 
2025-07-24T04:21:41.6302610Z Running inductor/test_torchinductor_opinfo 10/14 ... [2025-07-24 04:21:41.630194]
2025-07-24T04:21:41.6303090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:41.6305840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=10', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:41.630475]
2025-07-24T04:21:44.8281910Z 
2025-07-24T04:21:44.8282590Z inductor/test_torchinductor_opinfo 10/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_10.14_ea47c4d24c3b692c_.log
2025-07-24T04:21:44.8283230Z Running 0 items in this shard:
2025-07-24T04:21:44.8283350Z 
2025-07-24T04:21:44.8285570Z Running inductor/test_torchinductor_opinfo 11/14 ... [2025-07-24 04:21:44.828490]
2025-07-24T04:21:44.8285900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:44.8288340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=11', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:44.828747]
2025-07-24T04:21:48.0419300Z 
2025-07-24T04:21:48.0419970Z inductor/test_torchinductor_opinfo 11/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.14_3588576fe0951787_.log
2025-07-24T04:21:48.0420610Z Running 0 items in this shard:
2025-07-24T04:21:48.0420760Z 
2025-07-24T04:21:48.0422960Z Running inductor/test_torchinductor_opinfo 12/14 ... [2025-07-24 04:21:48.042230]
2025-07-24T04:21:48.0423280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:48.0425820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=12', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:48.042486]
2025-07-24T04:21:51.2375170Z 
2025-07-24T04:21:51.2375860Z inductor/test_torchinductor_opinfo 12/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.14_006f37f4934deb20_.log
2025-07-24T04:21:51.2376450Z Running 0 items in this shard:
2025-07-24T04:21:51.2376580Z 
2025-07-24T04:21:51.2378970Z Running inductor/test_cudagraph_trees 1/1 ... [2025-07-24 04:21:51.237819]
2025-07-24T04:21:51.2379290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:51.2382070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:51.238088]
2025-07-24T04:21:53.4939640Z 
2025-07-24T04:21:53.4940240Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_0fc3e5b26b20961c_.log
2025-07-24T04:21:53.4940930Z 
2025-07-24T04:21:53.4943290Z Running inductor/test_smoke 1/1 ... [2025-07-24 04:21:53.494256]
2025-07-24T04:21:53.4943570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:53.4945920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:53.494511]
2025-07-24T04:21:55.6674660Z 
2025-07-24T04:21:55.6675430Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_e07637a3a8568755_.log
2025-07-24T04:21:55.6675860Z 
2025-07-24T04:21:55.6678880Z Running inductor/test_select_algorithm 1/1 ... [2025-07-24 04:21:55.667797]
2025-07-24T04:21:55.6679200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:55.6681400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:55.668059]
2025-07-24T04:21:57.8631260Z 
2025-07-24T04:21:57.8631890Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_c75a8bc2b44c761b_.log
2025-07-24T04:21:57.8632380Z 
2025-07-24T04:21:57.8634900Z Running inductor/test_extension_backend 1/1 ... [2025-07-24 04:21:57.863417]
2025-07-24T04:21:57.8635210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:21:57.8637650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:21:57.863665]
2025-07-24T04:22:00.1240010Z 
2025-07-24T04:22:00.1240670Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_a44ae29cc656e9b3_.log
2025-07-24T04:22:00.1241160Z 
2025-07-24T04:22:00.1243680Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-07-24 04:22:00.124292]
2025-07-24T04:22:00.1244000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:00.1246290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:00.124546]
2025-07-24T04:22:02.3520100Z 
2025-07-24T04:22:02.3520780Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_58b5a254300cabac_.log
2025-07-24T04:22:02.3521300Z 
2025-07-24T04:22:02.3523660Z Running inductor/test_perf 1/1 ... [2025-07-24 04:22:02.352293]
2025-07-24T04:22:02.3523950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:02.3526630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:02.352543]
2025-07-24T04:22:04.5633060Z 
2025-07-24T04:22:04.5633650Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_387543e9589d294b_.log
2025-07-24T04:22:04.5634090Z 
2025-07-24T04:22:04.5636810Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-07-24 04:22:04.563605]
2025-07-24T04:22:04.5637120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:04.5639600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:04.563868]
2025-07-24T04:22:07.1542890Z 
2025-07-24T04:22:07.1543660Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_acf5d7b021cc8814_.log
2025-07-24T04:22:07.1544180Z 
2025-07-24T04:22:07.1546700Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-07-24 04:22:07.154593]
2025-07-24T04:22:07.1547280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:07.1549960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:07.154869]
2025-07-24T04:22:09.5296420Z 
2025-07-24T04:22:09.5297000Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_3b3170457e45ddac_.log
2025-07-24T04:22:09.5297510Z 
2025-07-24T04:22:09.5299940Z Running inductor/test_triton_extension_backend 1/1 ... [2025-07-24 04:22:09.529918]
2025-07-24T04:22:09.5300260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:09.5302770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:09.530183]
2025-07-24T04:22:11.8023420Z 
2025-07-24T04:22:11.8024100Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_9ad1f65ba4f7eb31_.log
2025-07-24T04:22:11.8024640Z 
2025-07-24T04:22:11.8027030Z Running inductor/test_analysis 1/1 ... [2025-07-24 04:22:11.802629]
2025-07-24T04:22:11.8027330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:11.8029790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:11.802885]
2025-07-24T04:22:14.0578940Z 
2025-07-24T04:22:14.0579470Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_44c6f587fa1797ae_.log
2025-07-24T04:22:14.0580010Z Running 0 items in this shard:
2025-07-24T04:22:14.0580140Z 
2025-07-24T04:22:14.0582730Z Running inductor/test_flex_decoding 1/1 ... [2025-07-24 04:22:14.058222]
2025-07-24T04:22:14.0583040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:14.0585840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:14.058490]
2025-07-24T04:22:15.9503180Z 
2025-07-24T04:22:15.9503860Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_db7b29364a209b0d_.log
2025-07-24T04:22:15.9504480Z Running 0 items in this shard:
2025-07-24T04:22:15.9504810Z 
2025-07-24T04:22:15.9507230Z Running inductor/test_compile_worker 1/1 ... [2025-07-24 04:22:15.950656]
2025-07-24T04:22:15.9507580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:15.9510460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:15.950939]
2025-07-24T04:22:18.2113500Z 
2025-07-24T04:22:18.2114340Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_14baaee2904acfba_.log
2025-07-24T04:22:18.2114930Z Running 0 items in this shard:
2025-07-24T04:22:18.2115090Z 
2025-07-24T04:22:18.2117770Z Running inductor/test_inductor_utils 1/1 ... [2025-07-24 04:22:18.211702]
2025-07-24T04:22:18.2118110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:18.2120710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_inductor_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:18.211970]
2025-07-24T04:22:19.8624170Z 
2025-07-24T04:22:19.8624760Z inductor/test_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_utils_1.1_aa02c7fcf481e494_.log
2025-07-24T04:22:19.8625240Z 
2025-07-24T04:22:19.8627730Z Running dynamo/test_utils 1/1 ... [2025-07-24 04:22:19.862697]
2025-07-24T04:22:19.8628010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:19.8630500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:19.862963]
2025-07-24T04:22:21.5889640Z 
2025-07-24T04:22:21.5890160Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_5a714149e6a8b007_.log
2025-07-24T04:22:21.5890790Z Running 0 items in this shard:
2025-07-24T04:22:21.5890920Z 
2025-07-24T04:22:21.5893220Z Running dynamo/test_optimizers 1/1 ... [2025-07-24 04:22:21.589265]
2025-07-24T04:22:21.5893530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:21.5896130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:21.589532]
2025-07-24T04:22:23.3948690Z 
2025-07-24T04:22:23.3949300Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_2e139360e0ba4225_.log
2025-07-24T04:22:23.3949820Z Running 0 items in this shard:
2025-07-24T04:22:23.3949950Z 
2025-07-24T04:22:23.3952710Z Running export/test_export_strict 1/1 ... [2025-07-24 04:22:23.395215]
2025-07-24T04:22:23.3953000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:23.3955650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:23.395472]
2025-07-24T04:22:25.7543820Z 
2025-07-24T04:22:25.7544360Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_9d97d636a43eabe6_.log
2025-07-24T04:22:25.7544900Z Running 0 items in this shard:
2025-07-24T04:22:25.7545240Z 
2025-07-24T04:22:25.7547680Z Running inductor/test_compile_subprocess 1/1 ... [2025-07-24 04:22:25.754694]
2025-07-24T04:22:25.7547980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:25.7550400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:25.754952]
2025-07-24T04:22:28.3459520Z 
2025-07-24T04:22:28.3460430Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_530e88c7b97f7dca_.log
2025-07-24T04:22:28.3461410Z Running 1 items in this shard: test/inductor/test_compile_subprocess.py::CpuTests::test_large_block_sizes_cpu
2025-07-24T04:22:28.3461940Z 
2025-07-24T04:22:28.3464280Z Running inductor/test_b2b_gemm 1/1 ... [2025-07-24 04:22:28.346359]
2025-07-24T04:22:28.3464660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:28.3467960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:28.346683]
2025-07-24T04:22:30.5468630Z 
2025-07-24T04:22:30.5469220Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_67941e2bc70c455d_.log
2025-07-24T04:22:30.5469670Z 
2025-07-24T04:22:30.5472630Z Running inductor/test_subgraph_choice 1/1 ... [2025-07-24 04:22:30.547184]
2025-07-24T04:22:30.5472930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:30.5475710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:30.547459]
2025-07-24T04:22:32.7441700Z 
2025-07-24T04:22:32.7442340Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_b9717c988384bb96_.log
2025-07-24T04:22:32.7442830Z 
2025-07-24T04:22:32.7445740Z Running inductor/test_inplace_padding 1/1 ... [2025-07-24 04:22:32.744493]
2025-07-24T04:22:32.7446050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:32.7448570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:32.744761]
2025-07-24T04:22:34.9955110Z 
2025-07-24T04:22:34.9955710Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_a32b33bc2005d295_.log
2025-07-24T04:22:34.9956200Z 
2025-07-24T04:22:34.9958880Z Running inductor/test_memory_planning 1/1 ... [2025-07-24 04:22:34.995834]
2025-07-24T04:22:34.9959190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:34.9962060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:34.996091]
2025-07-24T04:22:37.1944630Z 
2025-07-24T04:22:37.1945240Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_c0db95981889422f_.log
2025-07-24T04:22:37.1945960Z 
2025-07-24T04:22:37.1948580Z Running inductor/test_xpu_basic 1/1 ... [2025-07-24 04:22:37.194782]
2025-07-24T04:22:37.1948860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:37.1951290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:37.195044]
2025-07-24T04:22:39.5020070Z 
2025-07-24T04:22:39.5020690Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_a03f890d0aa51b83_.log
2025-07-24T04:22:39.5021350Z 
2025-07-24T04:22:39.5024170Z Running inductor/test_online_softmax 1/1 ... [2025-07-24 04:22:39.502339]
2025-07-24T04:22:39.5024470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:39.5027120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:39.502599]
2025-07-24T04:22:41.6829800Z 
2025-07-24T04:22:41.6830360Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_789adb947b31015d_.log
2025-07-24T04:22:41.6830850Z 
2025-07-24T04:22:41.6833820Z Running inductor/test_profiler 1/1 ... [2025-07-24 04:22:41.683306]
2025-07-24T04:22:41.6834110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:41.6836560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:41.683571]
2025-07-24T04:22:43.8718520Z 
2025-07-24T04:22:43.8719090Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_b84f18db9d4cd3cc_.log
2025-07-24T04:22:43.8719550Z 
2025-07-24T04:22:43.8722210Z Running dynamo/test_comptime 1/1 ... [2025-07-24 04:22:43.872169]
2025-07-24T04:22:43.8722500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:43.8725470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:43.872438]
2025-07-24T04:22:45.7032820Z 
2025-07-24T04:22:45.7033480Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_12c37a882614d64a_.log
2025-07-24T04:22:45.7034090Z Running 0 items in this shard:
2025-07-24T04:22:45.7034240Z 
2025-07-24T04:22:45.7037160Z Running dynamo/test_install_free_tensors 1/1 ... [2025-07-24 04:22:45.703646]
2025-07-24T04:22:45.7037500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:45.7040600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:45.703954]
2025-07-24T04:22:47.5401940Z 
2025-07-24T04:22:47.5402650Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_f63ff193f05c38f6_.log
2025-07-24T04:22:47.5403260Z Running 0 items in this shard:
2025-07-24T04:22:47.5403410Z 
2025-07-24T04:22:47.5406520Z Running inductor/test_ordered_set 1/1 ... [2025-07-24 04:22:47.540582]
2025-07-24T04:22:47.5407040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:47.5409600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:47.540861]
2025-07-24T04:22:49.3671100Z 
2025-07-24T04:22:49.3672050Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_382d052a8373e7e6_.log
2025-07-24T04:22:49.3672760Z Running 0 items in this shard:
2025-07-24T04:22:49.3672940Z 
2025-07-24T04:22:49.3676390Z Running dynamo/test_list 1/1 ... [2025-07-24 04:22:49.367540]
2025-07-24T04:22:49.3676780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:49.3680200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:49.367885]
2025-07-24T04:22:51.1837570Z 
2025-07-24T04:22:51.1838100Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_8641f121fefdeb2a_.log
2025-07-24T04:22:51.1838610Z Running 0 items in this shard:
2025-07-24T04:22:51.1838760Z 
2025-07-24T04:22:51.1841690Z Running dynamo/test_unittest 1/1 ... [2025-07-24 04:22:51.184108]
2025-07-24T04:22:51.1841980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:51.1844770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:51.184378]
2025-07-24T04:22:53.0206940Z 
2025-07-24T04:22:53.0207570Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_25b57cc76f80d47a_.log
2025-07-24T04:22:53.0208190Z Running 0 items in this shard:
2025-07-24T04:22:53.0208360Z 
2025-07-24T04:22:53.0217130Z Running dynamo/test_model_output 1/1 ... [2025-07-24 04:22:53.021107]
2025-07-24T04:22:53.0217540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:53.0218550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:53.021434]
2025-07-24T04:22:54.9763510Z 
2025-07-24T04:22:54.9764300Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_8202b4fa993fbd9b_.log
2025-07-24T04:22:54.9764910Z Running 0 items in this shard:
2025-07-24T04:22:54.9765060Z 
2025-07-24T04:22:54.9768440Z Running inductor/test_cutlass_evt 1/1 ... [2025-07-24 04:22:54.976772]
2025-07-24T04:22:54.9768760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:54.9771790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:54.977072]
2025-07-24T04:22:57.2416160Z 
2025-07-24T04:22:57.2416760Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_9e989725c28c279a_.log
2025-07-24T04:22:57.2417320Z Running 0 items in this shard:
2025-07-24T04:22:57.2417470Z 
2025-07-24T04:22:57.2420280Z Running inductor/test_helion_kernels 1/1 ... [2025-07-24 04:22:57.241969]
2025-07-24T04:22:57.2420780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:57.2423500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:57.242249]
2025-07-24T04:22:59.5388830Z 
2025-07-24T04:22:59.5389490Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_af806fb73cbe411b_.log
2025-07-24T04:22:59.5390330Z Running 0 items in this shard:
2025-07-24T04:22:59.5390490Z 
2025-07-24T04:22:59.5393340Z Running dynamo/test_pgo 1/1 ... [2025-07-24 04:22:59.539267]
2025-07-24T04:22:59.5393880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:22:59.5396720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:22:59.539568]
2025-07-24T04:23:01.3768350Z 
2025-07-24T04:23:01.3768930Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_8abc8c56134c567d_.log
2025-07-24T04:23:01.3769490Z Running 0 items in this shard:
2025-07-24T04:23:01.3769640Z 
2025-07-24T04:23:01.3772860Z Running export/test_upgrader 1/1 ... [2025-07-24 04:23:01.377216]
2025-07-24T04:23:01.3773190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:01.3776340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:01.377529]
2025-07-24T04:23:03.0890020Z 
2025-07-24T04:23:03.0890620Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_3d5d007f1d61bb01_.log
2025-07-24T04:23:03.0891150Z Running 0 items in this shard:
2025-07-24T04:23:03.0891280Z 
2025-07-24T04:23:03.0894370Z Running dynamo/test_guard_serialization 1/1 ... [2025-07-24 04:23:03.089354]
2025-07-24T04:23:03.0894700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:03.0897420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:03.089643]
2025-07-24T04:23:05.3847430Z 
2025-07-24T04:23:05.3848110Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_9185c08dc2d45ce8_.log
2025-07-24T04:23:05.3848750Z Running 0 items in this shard:
2025-07-24T04:23:05.3848900Z 
2025-07-24T04:23:05.3852040Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-07-24 04:23:05.385129]
2025-07-24T04:23:05.3852420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:05.3855500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:05.385440]
2025-07-24T04:23:07.7359610Z 
2025-07-24T04:23:07.7360350Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_0213e7c7ea644d17_.log
2025-07-24T04:23:07.7361080Z Running 0 items in this shard:
2025-07-24T04:23:07.7361430Z 
2025-07-24T04:23:07.7364570Z Running dynamo/test_graph_deduplication 1/1 ... [2025-07-24 04:23:07.736381]
2025-07-24T04:23:07.7364970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:07.7368120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:07.736694]
2025-07-24T04:23:09.5690170Z 
2025-07-24T04:23:09.5690990Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_067c4cf367e9a845_.log
2025-07-24T04:23:09.5691600Z Running 0 items in this shard:
2025-07-24T04:23:09.5691750Z 
2025-07-24T04:23:09.5694810Z Running inductor/test_benchmarking 1/1 ... [2025-07-24 04:23:09.569397]
2025-07-24T04:23:09.5695160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:09.5697920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:09.569692]
2025-07-24T04:23:11.8810920Z 
2025-07-24T04:23:11.8811650Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_547a2335ef35663b_.log
2025-07-24T04:23:11.8812400Z Running 0 items in this shard:
2025-07-24T04:23:11.8812580Z 
2025-07-24T04:23:11.8816080Z Running dynamo/test_profiler 1/1 ... [2025-07-24 04:23:11.881526]
2025-07-24T04:23:11.8816470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:11.8819890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:11.881867]
2025-07-24T04:23:13.7126490Z 
2025-07-24T04:23:13.7127050Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_20127fad75ea4bf1_.log
2025-07-24T04:23:13.7127590Z Running 0 items in this shard:
2025-07-24T04:23:13.7127740Z 
2025-07-24T04:23:13.7130960Z Running functorch/test_eager_transforms 1/1 ... [2025-07-24 04:23:13.713024]
2025-07-24T04:23:13.7131310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:13.7133960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:13.713308]
2025-07-24T04:23:16.2587000Z 
2025-07-24T04:23:16.2587670Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_506a1d942658a26a_.log
2025-07-24T04:23:16.2588350Z Running 0 items in this shard:
2025-07-24T04:23:16.2588520Z 
2025-07-24T04:23:16.2592030Z Running inductor/test_block_analysis 1/1 ... [2025-07-24 04:23:16.259120]
2025-07-24T04:23:16.2592410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:16.2595660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:16.259445]
2025-07-24T04:23:18.5492110Z 
2025-07-24T04:23:18.5492790Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_d89d985a6828680e_.log
2025-07-24T04:23:18.5493610Z Running 0 items in this shard:
2025-07-24T04:23:18.5493760Z 
2025-07-24T04:23:18.5496710Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-07-24 04:23:18.549602]
2025-07-24T04:23:18.5497080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:18.5499910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:18.549882]
2025-07-24T04:23:20.3816020Z 
2025-07-24T04:23:20.3816770Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_65aa0a6ccd40f5d8_.log
2025-07-24T04:23:20.3817400Z Running 0 items in this shard:
2025-07-24T04:23:20.3817540Z 
2025-07-24T04:23:20.3820080Z Running inductor/test_memory 1/1 ... [2025-07-24 04:23:20.381949]
2025-07-24T04:23:20.3820370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:20.3823230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:20.382226]
2025-07-24T04:23:22.5650340Z 
2025-07-24T04:23:22.5650920Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_c659859205c493f7_.log
2025-07-24T04:23:22.5651360Z 
2025-07-24T04:23:22.5654500Z Running dynamo/test_base_hop 1/1 ... [2025-07-24 04:23:22.565368]
2025-07-24T04:23:22.5654800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:22.5657230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:22.565644]
2025-07-24T04:23:24.8648020Z 
2025-07-24T04:23:24.8648630Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_6912b8154dbd6d9c_.log
2025-07-24T04:23:24.8649220Z Running 0 items in this shard:
2025-07-24T04:23:24.8649370Z 
2025-07-24T04:23:24.8652570Z Running dynamo/test_sources 1/1 ... [2025-07-24 04:23:24.865187]
2025-07-24T04:23:24.8652900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:24.8655890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:24.865484]
2025-07-24T04:23:26.5802300Z 
2025-07-24T04:23:26.5802900Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_bcb574f1057772d4_.log
2025-07-24T04:23:26.5803440Z Running 0 items in this shard:
2025-07-24T04:23:26.5803580Z 
2025-07-24T04:23:26.5806780Z Running dynamo/test_precompile_context 1/1 ... [2025-07-24 04:23:26.580606]
2025-07-24T04:23:26.5807130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:26.5810010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:26.580895]
2025-07-24T04:23:28.8383600Z 
2025-07-24T04:23:28.8384170Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_3f3f7f3a766b66ee_.log
2025-07-24T04:23:28.8384900Z Running 0 items in this shard:
2025-07-24T04:23:28.8385030Z 
2025-07-24T04:23:28.8387520Z Running dynamo/test_compiler_bisector 1/1 ... [2025-07-24 04:23:28.838700]
2025-07-24T04:23:28.8387830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:28.8390610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:28.838956]
2025-07-24T04:23:31.0774090Z 
2025-07-24T04:23:31.0774970Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_34fb40c2f840cbea_.log
2025-07-24T04:23:31.0775560Z Running 0 items in this shard:
2025-07-24T04:23:31.0775700Z 
2025-07-24T04:23:31.0778330Z Running dynamo/test_package 1/1 ... [2025-07-24 04:23:31.077757]
2025-07-24T04:23:31.0778610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:31.0781360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:31.078026]
2025-07-24T04:23:33.3894730Z 
2025-07-24T04:23:33.3895500Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_a6b1c4bda88c216f_.log
2025-07-24T04:23:33.3896190Z Running 0 items in this shard:
2025-07-24T04:23:33.3896370Z 
2025-07-24T04:23:33.3900110Z Running inductor/test_alignment 1/1 ... [2025-07-24 04:23:33.389927]
2025-07-24T04:23:33.3900510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:33.3903870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_alignment.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:33.390262]
2025-07-24T04:23:35.7377730Z 
2025-07-24T04:23:35.7378330Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_3388ef855688cabe_.log
2025-07-24T04:23:35.7378880Z Running 0 items in this shard:
2025-07-24T04:23:35.7379020Z 
2025-07-24T04:23:35.7381720Z Running test_model_exports_to_core_aten 1/1 ... [2025-07-24 04:23:35.738113]
2025-07-24T04:23:35.7382030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:35.7384590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:35.738364]
2025-07-24T04:23:37.5801230Z 
2025-07-24T04:23:37.5801870Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_a48af7e191ba68d1_.log
2025-07-24T04:23:37.5802510Z Running 0 items in this shard:
2025-07-24T04:23:37.5802680Z 
2025-07-24T04:23:37.5805950Z Running dynamo/test_modes 1/1 ... [2025-07-24 04:23:37.580533]
2025-07-24T04:23:37.5806260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:37.5809310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:37.580829]
2025-07-24T04:23:39.8840640Z 
2025-07-24T04:23:39.8841240Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_f7a0e472600f790d_.log
2025-07-24T04:23:39.8841840Z Running 0 items in this shard:
2025-07-24T04:23:39.8842010Z 
2025-07-24T04:23:39.8845790Z Running inductor/test_mps_basic 1/1 ... [2025-07-24 04:23:39.884503]
2025-07-24T04:23:39.8846150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:39.8849650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:39.884835]
2025-07-24T04:23:42.2754120Z 
2025-07-24T04:23:42.2755070Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_d1956b52e0edd710_.log
2025-07-24T04:23:42.2755640Z Running 0 items in this shard:
2025-07-24T04:23:42.2755790Z 
2025-07-24T04:23:42.2758840Z Running inductor/test_compile 1/1 ... [2025-07-24 04:23:42.275817]
2025-07-24T04:23:42.2759140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:42.2762020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:42.276107]
2025-07-24T04:23:44.5877200Z 
2025-07-24T04:23:44.5877920Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_a4e4cc1d2f557f79_.log
2025-07-24T04:23:44.5878580Z Running 0 items in this shard:
2025-07-24T04:23:44.5878740Z 
2025-07-24T04:23:44.5882110Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-07-24 04:23:44.588129]
2025-07-24T04:23:44.5882570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:44.5885710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:44.588453]
2025-07-24T04:23:46.7697410Z 
2025-07-24T04:23:46.7698160Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_9b397fca1736fa62_.log
2025-07-24T04:23:46.7698790Z 
2025-07-24T04:23:46.7701090Z Running export/test_swap 1/1 ... [2025-07-24 04:23:46.770063]
2025-07-24T04:23:46.7701370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:46.7704500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_swap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:46.770334]
2025-07-24T04:23:48.5378790Z 
2025-07-24T04:23:48.5379480Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_91831f4b44e2d99c_.log
2025-07-24T04:23:48.5380130Z Running 0 items in this shard:
2025-07-24T04:23:48.5380330Z 
2025-07-24T04:23:48.5384040Z Running inductor/test_torchbind 1/1 ... [2025-07-24 04:23:48.538331]
2025-07-24T04:23:48.5384420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:48.5387850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:48.538662]
2025-07-24T04:23:50.8356250Z 
2025-07-24T04:23:50.8356860Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_0281f820b5a29a59_.log
2025-07-24T04:23:50.8357450Z Running 0 items in this shard:
2025-07-24T04:23:50.8357600Z 
2025-07-24T04:23:50.8360890Z Running dynamo/test_sets 1/1 ... [2025-07-24 04:23:50.836024]
2025-07-24T04:23:50.8361220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:50.8364210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:50.836311]
2025-07-24T04:23:52.6516170Z 
2025-07-24T04:23:52.6516910Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_98a025745697b96a_.log
2025-07-24T04:23:52.6517430Z Running 0 items in this shard:
2025-07-24T04:23:52.6517570Z 
2025-07-24T04:23:52.6520340Z Running dynamo/test_deviceguard 1/1 ... [2025-07-24 04:23:52.651973]
2025-07-24T04:23:52.6520650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:52.6523450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:52.652255]
2025-07-24T04:23:54.6152630Z 
2025-07-24T04:23:54.6153390Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_c0a1cb8c068eb827_.log
2025-07-24T04:23:54.6154030Z Running 0 items in this shard:
2025-07-24T04:23:54.6154200Z 
2025-07-24T04:23:54.6157310Z Running dynamo/test_debug_utils 1/1 ... [2025-07-24 04:23:54.615658]
2025-07-24T04:23:54.6157690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:54.6160940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:54.615977]
2025-07-24T04:23:56.8723030Z 
2025-07-24T04:23:56.8723610Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_02583a8c6672c239_.log
2025-07-24T04:23:56.8724150Z Running 0 items in this shard:
2025-07-24T04:23:56.8724280Z 
2025-07-24T04:23:56.8726930Z Running dynamo/test_recompile_ux 1/1 ... [2025-07-24 04:23:56.872636]
2025-07-24T04:23:56.8727220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:56.8729860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:56.872908]
2025-07-24T04:23:58.7065850Z 
2025-07-24T04:23:58.7066470Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_da09ce9ac4e913d2_.log
2025-07-24T04:23:58.7067130Z Running 0 items in this shard:
2025-07-24T04:23:58.7067280Z 
2025-07-24T04:23:58.7070780Z Running inductor/test_auto_functionalize 1/1 ... [2025-07-24 04:23:58.707003]
2025-07-24T04:23:58.7071150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:23:58.7074250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:23:58.707313]
2025-07-24T04:24:00.5549970Z 
2025-07-24T04:24:00.5550620Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_993cbcb95032c6af_.log
2025-07-24T04:24:00.5551230Z Running 0 items in this shard:
2025-07-24T04:24:00.5551370Z 
2025-07-24T04:24:00.5554230Z Running export/test_torchbind 1/1 ... [2025-07-24 04:24:00.555365]
2025-07-24T04:24:00.5554770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:00.5557450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:00.555640]
2025-07-24T04:24:02.3876990Z 
2025-07-24T04:24:02.3877880Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_cbd62c0cee8c5d18_.log
2025-07-24T04:24:02.3878450Z Running 0 items in this shard:
2025-07-24T04:24:02.3878590Z 
2025-07-24T04:24:02.3881240Z Running inductor/test_unbacked_symints 1/1 ... [2025-07-24 04:24:02.388057]
2025-07-24T04:24:02.3881570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:02.3884560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:02.388355]
2025-07-24T04:24:04.6951490Z 
2025-07-24T04:24:04.6952250Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_5b5617e7cb1bd215_.log
2025-07-24T04:24:04.6953040Z Running 0 items in this shard:
2025-07-24T04:24:04.6953220Z 
2025-07-24T04:24:04.6956710Z Running dynamo/test_flat_apply 1/1 ... [2025-07-24 04:24:04.695595]
2025-07-24T04:24:04.6959860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:04.6960950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:04.695941]
2025-07-24T04:24:06.5280550Z 
2025-07-24T04:24:06.5281220Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_878d945e6ff8cf43_.log
2025-07-24T04:24:06.5281820Z Running 0 items in this shard:
2025-07-24T04:24:06.5281970Z 
2025-07-24T04:24:06.5285100Z Running export/test_unflatten 1/1 ... [2025-07-24 04:24:06.528435]
2025-07-24T04:24:06.5285430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:06.5288440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:06.528741]
2025-07-24T04:24:08.2394570Z 
2025-07-24T04:24:08.2395230Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_595a5ff517f327cf_.log
2025-07-24T04:24:08.2395740Z Running 0 items in this shard:
2025-07-24T04:24:08.2395870Z 
2025-07-24T04:24:08.2398760Z Running export/test_schema 1/1 ... [2025-07-24 04:24:08.239815]
2025-07-24T04:24:08.2399040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:08.2401820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:08.240086]
2025-07-24T04:24:10.0059030Z 
2025-07-24T04:24:10.0059610Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_6fb5e265e06793de_.log
2025-07-24T04:24:10.0060200Z Running 0 items in this shard:
2025-07-24T04:24:10.0060350Z 
2025-07-24T04:24:10.0063570Z Running dynamo/test_python_dispatcher 1/1 ... [2025-07-24 04:24:10.006277]
2025-07-24T04:24:10.0064080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:10.0067260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:10.006589]
2025-07-24T04:24:11.9629810Z 
2025-07-24T04:24:11.9630520Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_9e2aa1083b44e5e3_.log
2025-07-24T04:24:11.9631220Z Running 0 items in this shard:
2025-07-24T04:24:11.9631380Z 
2025-07-24T04:24:11.9634610Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-07-24 04:24:11.963377]
2025-07-24T04:24:11.9635010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:11.9637970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:11.963693]
2025-07-24T04:24:14.2595760Z 
2025-07-24T04:24:14.2596430Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_c7937b578e6f3fd2_.log
2025-07-24T04:24:14.2597060Z Running 0 items in this shard:
2025-07-24T04:24:14.2597210Z 
2025-07-24T04:24:14.2599770Z Running dynamo/test_error_messages 1/1 ... [2025-07-24 04:24:14.259918]
2025-07-24T04:24:14.2600080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:14.2603030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:14.260203]
2025-07-24T04:24:16.0896330Z 
2025-07-24T04:24:16.0896950Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_1fd83fbfaddc077a_.log
2025-07-24T04:24:16.0902440Z Running 0 items in this shard:
2025-07-24T04:24:16.0902610Z 
2025-07-24T04:24:16.0902760Z Running dynamo/test_callback 1/1 ... [2025-07-24 04:24:16.090035]
2025-07-24T04:24:16.0903080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:16.0905160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:16.090405]
2025-07-24T04:24:18.3423980Z 
2025-07-24T04:24:18.3424550Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_a31d97d867d044b9_.log
2025-07-24T04:24:18.3425040Z Running 0 items in this shard:
2025-07-24T04:24:18.3425190Z 
2025-07-24T04:24:18.3428040Z Running dynamo/test_bytecode_utils 1/1 ... [2025-07-24 04:24:18.342727]
2025-07-24T04:24:18.3428330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:18.3430920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:18.342998]
2025-07-24T04:24:20.1828200Z 
2025-07-24T04:24:20.1829080Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_cf4d23519043e071_.log
2025-07-24T04:24:20.1829950Z Running 0 items in this shard:
2025-07-24T04:24:20.1830130Z 
2025-07-24T04:24:20.1833380Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-07-24 04:24:20.183250]
2025-07-24T04:24:20.1833910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:20.1837170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:20.183588]
2025-07-24T04:24:21.9880900Z 
2025-07-24T04:24:21.9881560Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_203e50359dec63fa_.log
2025-07-24T04:24:21.9882200Z Running 0 items in this shard:
2025-07-24T04:24:21.9882360Z 
2025-07-24T04:24:21.9885330Z Running dynamo/test_trace_rules 1/1 ... [2025-07-24 04:24:21.988461]
2025-07-24T04:24:21.9885690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:21.9888860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:21.988775]
2025-07-24T04:24:23.6978880Z 
2025-07-24T04:24:23.6979470Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_7c90d6da79e7a7c1_.log
2025-07-24T04:24:23.6979990Z Running 0 items in this shard:
2025-07-24T04:24:23.6980120Z 
2025-07-24T04:24:23.6982830Z Running export/test_hop 1/1 ... [2025-07-24 04:24:23.698222]
2025-07-24T04:24:23.6983110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:23.6985880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:23.698490]
2025-07-24T04:24:26.0703510Z 
2025-07-24T04:24:26.0704120Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_3c2bd86b959ce009_.log
2025-07-24T04:24:26.0704760Z Running 0 items in this shard:
2025-07-24T04:24:26.0704930Z 
2025-07-24T04:24:26.0708500Z Running dynamo/test_exceptions 1/1 ... [2025-07-24 04:24:26.070770]
2025-07-24T04:24:26.0708870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:26.0712240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:26.071107]
2025-07-24T04:24:27.8984940Z 
2025-07-24T04:24:27.8985600Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_e4ea5f6b682ae103_.log
2025-07-24T04:24:27.8986170Z Running 0 items in this shard:
2025-07-24T04:24:27.8986310Z 
2025-07-24T04:24:27.8989150Z Running export/test_experimental 1/1 ... [2025-07-24 04:24:27.898856]
2025-07-24T04:24:27.8989460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:27.8992350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:27.899137]
2025-07-24T04:24:29.7379700Z 
2025-07-24T04:24:29.7380370Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_9350ce380c59f7f0_.log
2025-07-24T04:24:29.7381140Z Running 0 items in this shard:
2025-07-24T04:24:29.7381290Z 
2025-07-24T04:24:29.7384200Z Running dynamo/test_torchrec 1/1 ... [2025-07-24 04:24:29.738347]
2025-07-24T04:24:29.7384640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:29.7387650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:29.738647]
2025-07-24T04:24:31.5364660Z 
2025-07-24T04:24:31.5365280Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_7b975489ec0bd997_.log
2025-07-24T04:24:31.5365780Z Running 0 items in this shard:
2025-07-24T04:24:31.5365910Z 
2025-07-24T04:24:31.5368820Z Running dynamo/test_einops 1/1 ... [2025-07-24 04:24:31.536799]
2025-07-24T04:24:31.5369110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:31.5371820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:31.537071]
2025-07-24T04:24:33.2560710Z 
2025-07-24T04:24:33.2561260Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_9de87f4152899d1e_.log
2025-07-24T04:24:33.2561780Z Running 0 items in this shard:
2025-07-24T04:24:33.2561920Z 
2025-07-24T04:24:33.2564630Z Running export/test_converter 1/1 ... [2025-07-24 04:24:33.256402]
2025-07-24T04:24:33.2564930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:33.2567910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_converter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:33.256694]
2025-07-24T04:24:35.0914840Z 
2025-07-24T04:24:35.0915450Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_d6a6b67066340f38_.log
2025-07-24T04:24:35.0915980Z Running 0 items in this shard:
2025-07-24T04:24:35.0916120Z 
2025-07-24T04:24:35.0918530Z Running export/test_lift_unlift 1/1 ... [2025-07-24 04:24:35.091791]
2025-07-24T04:24:35.0918830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:35.0921400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:35.092044]
2025-07-24T04:24:36.7971190Z 
2025-07-24T04:24:36.7971790Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_7d282b35d4412094_.log
2025-07-24T04:24:36.7972360Z Running 0 items in this shard:
2025-07-24T04:24:36.7972500Z 
2025-07-24T04:24:36.7975200Z Running dynamo/test_reorder_logs 1/1 ... [2025-07-24 04:24:36.797442]
2025-07-24T04:24:36.7975540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:36.7977890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:36.797705]
2025-07-24T04:24:38.6216250Z 
2025-07-24T04:24:38.6216860Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_65d04680b5453f4a_.log
2025-07-24T04:24:38.6217660Z Running 0 items in this shard:
2025-07-24T04:24:38.6217810Z 
2025-07-24T04:24:38.6220800Z Running test_custom_ops 1/1 ... [2025-07-24 04:24:38.622011]
2025-07-24T04:24:38.6221220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:38.6224330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_custom_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:38.622313]
2025-07-24T04:24:41.0559110Z 
2025-07-24T04:24:41.0559710Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_079f23cb68e0fa7e_.log
2025-07-24T04:24:41.0560330Z Running 0 items in this shard:
2025-07-24T04:24:41.0560500Z 
2025-07-24T04:24:41.0563960Z Running test_mkldnn_verbose 1/1 ... [2025-07-24 04:24:41.056317]
2025-07-24T04:24:41.0564310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:41.0567670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:41.056651]
2025-07-24T04:24:42.8096800Z 
2025-07-24T04:24:42.8097380Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_360ff2c3060892be_.log
2025-07-24T04:24:42.8097980Z Running 0 items in this shard:
2025-07-24T04:24:42.8098130Z 
2025-07-24T04:24:42.8101260Z Running dynamo/test_hooks 1/1 ... [2025-07-24 04:24:42.810050]
2025-07-24T04:24:42.8101590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:42.8104580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:42.810355]
2025-07-24T04:24:44.6171970Z 
2025-07-24T04:24:44.6172520Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_5d06254d6671efd8_.log
2025-07-24T04:24:44.6173000Z Running 0 items in this shard:
2025-07-24T04:24:44.6173130Z 
2025-07-24T04:24:44.6175750Z Running dynamo/test_generator 1/1 ... [2025-07-24 04:24:44.617520]
2025-07-24T04:24:44.6176030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:44.6178640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:44.617780]
2025-07-24T04:24:46.4388100Z 
2025-07-24T04:24:46.4388620Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_3892fc6647d63a48_.log
2025-07-24T04:24:46.4389140Z Running 0 items in this shard:
2025-07-24T04:24:46.4389280Z 
2025-07-24T04:24:46.4392170Z Running dynamo/test_guard_manager 1/1 ... [2025-07-24 04:24:46.439157]
2025-07-24T04:24:46.4392460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:46.4395140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:46.439423]
2025-07-24T04:24:48.1561470Z 
2025-07-24T04:24:48.1562110Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_e9b439d165aabc0a_.log
2025-07-24T04:24:48.1562880Z Running 0 items in this shard:
2025-07-24T04:24:48.1563010Z 
2025-07-24T04:24:48.1565450Z Running test_autograd 1/1 ... [2025-07-24 04:24:48.156485]
2025-07-24T04:24:48.1565830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:48.1568670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:48.156762]
2025-07-24T04:24:50.7018160Z 
2025-07-24T04:24:50.7018700Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_4cb9d83511c1def8_.log
2025-07-24T04:24:50.7019220Z Running 0 items in this shard:
2025-07-24T04:24:50.7019370Z 
2025-07-24T04:24:50.7022420Z Running export/test_sparse 1/1 ... [2025-07-24 04:24:50.702177]
2025-07-24T04:24:50.7022750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:50.7025560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:50.702460]
2025-07-24T04:24:52.4763220Z 
2025-07-24T04:24:52.4763900Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_a7594e50df6fa483_.log
2025-07-24T04:24:52.4764570Z Running 0 items in this shard:
2025-07-24T04:24:52.4764750Z 
2025-07-24T04:24:52.4768210Z Running test_package 1/1 ... [2025-07-24 04:24:52.476748]
2025-07-24T04:24:52.4768570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:52.4772020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:52.477080]
2025-07-24T04:24:54.2407490Z 
2025-07-24T04:24:54.2408040Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_f8cfcdfdaa460d0d_.log
2025-07-24T04:24:54.2408550Z Running 0 items in this shard:
2025-07-24T04:24:54.2408700Z 
2025-07-24T04:24:54.2411630Z Running export/test_draft_export 1/1 ... [2025-07-24 04:24:54.241101]
2025-07-24T04:24:54.2411950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:54.2414950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:54.241390]
2025-07-24T04:24:56.0703480Z 
2025-07-24T04:24:56.0704070Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_957bc26957533170_.log
2025-07-24T04:24:56.0704580Z Running 0 items in this shard:
2025-07-24T04:24:56.0704720Z 
2025-07-24T04:24:56.0707310Z Running test_ops_fwd_gradients 1/1 ... [2025-07-24 04:24:56.070673]
2025-07-24T04:24:56.0707600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:56.0710210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:56.070928]
2025-07-24T04:24:58.7004810Z 
2025-07-24T04:24:58.7005360Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_c3bec0c16e3c17a3_.log
2025-07-24T04:24:58.7006050Z Running 0 items in this shard:
2025-07-24T04:24:58.7006190Z 
2025-07-24T04:24:58.7008550Z Running test_ops_gradients 1/1 ... [2025-07-24 04:24:58.700802]
2025-07-24T04:24:58.7008820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:24:58.7011620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:24:58.701055]
2025-07-24T04:25:01.6173310Z 
2025-07-24T04:25:01.6173880Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_e7466e43ebe43f52_.log
2025-07-24T04:25:01.6174440Z Running 0 items in this shard:
2025-07-24T04:25:01.6174580Z 
2025-07-24T04:25:01.6178090Z Running xpu/test_fusion 1/1 ... [2025-07-24 04:25:01.617733]
2025-07-24T04:25:01.6180730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:01.6181650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:01.618030]
2025-07-24T04:25:03.4431020Z 
2025-07-24T04:25:03.4431550Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_cffe08a1732ae5d9_.log
2025-07-24T04:25:03.4432040Z Running 0 items in this shard:
2025-07-24T04:25:03.4432170Z 
2025-07-24T04:25:03.4435200Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-07-24 04:25:03.443425]
2025-07-24T04:25:03.4435610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:03.4438370Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:03.443700]
2025-07-24T04:25:05.3143520Z 
2025-07-24T04:25:05.3144580Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_7ae53793af95398e_.log
2025-07-24T04:25:05.3145650Z Running 0 items in this shard:
2025-07-24T04:25:05.3145830Z 
2025-07-24T04:25:05.3148790Z Running test_mkldnn 1/1 ... [2025-07-24 04:25:05.314805]
2025-07-24T04:25:05.3149140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:05.3152670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:05.315143]
2025-07-24T04:25:07.1572240Z 
2025-07-24T04:25:07.1572730Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_6decaa7397b0c0b5_.log
2025-07-24T04:25:07.1573180Z Running 0 items in this shard:
2025-07-24T04:25:07.1573310Z 
2025-07-24T04:25:07.1576030Z Running test_mkl_verbose 1/1 ... [2025-07-24 04:25:07.157526]
2025-07-24T04:25:07.1576290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:07.1579140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:07.157798]
2025-07-24T04:25:08.8748860Z 
2025-07-24T04:25:08.8749380Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_786d7b8b64089398_.log
2025-07-24T04:25:08.8750030Z Running 0 items in this shard:
2025-07-24T04:25:08.8750170Z 
2025-07-24T04:25:08.8752630Z Running test_comparison_utils 1/1 ... [2025-07-24 04:25:08.875198]
2025-07-24T04:25:08.8752920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:08.8755520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:08.875453]
2025-07-24T04:25:10.5852820Z 
2025-07-24T04:25:10.5853340Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_e922b4634d5b18c9_.log
2025-07-24T04:25:10.5853850Z Running 0 items in this shard:
2025-07-24T04:25:10.5853990Z 
2025-07-24T04:25:10.5856640Z Running test_transformers 1/2 ... [2025-07-24 04:25:10.585609]
2025-07-24T04:25:10.5856910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:10.5859540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_transformers.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:10.585876]
2025-07-24T04:25:13.3769920Z 
2025-07-24T04:25:13.3770530Z test_transformers 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_1.2_9127bb85b952b8d5_.log
2025-07-24T04:25:13.3771080Z Running 0 items in this shard:
2025-07-24T04:25:13.3771210Z 
2025-07-24T04:25:13.3773610Z Running test_transformers 2/2 ... [2025-07-24 04:25:13.377315]
2025-07-24T04:25:13.3773870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:13.3776920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_transformers.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:13.377581]
2025-07-24T04:25:16.1618150Z 
2025-07-24T04:25:16.1618760Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_05f128f84fdab6f1_.log
2025-07-24T04:25:16.1619250Z Running 0 items in this shard:
2025-07-24T04:25:16.1619380Z 
2025-07-24T04:25:16.1622190Z Running test_license 1/1 ... [2025-07-24 04:25:16.162140]
2025-07-24T04:25:16.1622460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:16.1625170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_license.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:16.162402]
2025-07-24T04:25:17.9160810Z 
2025-07-24T04:25:17.9161440Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_19b68cebe3d1a5bd_.log
2025-07-24T04:25:17.9162070Z Running 0 items in this shard:
2025-07-24T04:25:17.9162250Z 
2025-07-24T04:25:17.9166050Z Running test_ao_sparsity 1/1 ... [2025-07-24 04:25:17.916525]
2025-07-24T04:25:17.9166430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:17.9169750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:17.916854]
2025-07-24T04:25:19.8011280Z 
2025-07-24T04:25:19.8011870Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_ff5b18574619da69_.log
2025-07-24T04:25:19.8012690Z Running 0 items in this shard:
2025-07-24T04:25:19.8012850Z 
2025-07-24T04:25:19.8015930Z Running test_foreach 1/1 ... [2025-07-24 04:25:19.801529]
2025-07-24T04:25:19.8016340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:19.8019650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:19.801837]
2025-07-24T04:25:22.9348250Z 
2025-07-24T04:25:22.9348810Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_e7cfcaca81096c2d_.log
2025-07-24T04:25:22.9349330Z Running 0 items in this shard:
2025-07-24T04:25:22.9349480Z 
2025-07-24T04:25:22.9352600Z Running test_functionalization 1/1 ... [2025-07-24 04:25:22.935192]
2025-07-24T04:25:22.9352940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:22.9355960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:22.935491]
2025-07-24T04:25:24.7151200Z 
2025-07-24T04:25:24.7151930Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_5542bd8b6be25c18_.log
2025-07-24T04:25:24.7152630Z Running 0 items in this shard:
2025-07-24T04:25:24.7152820Z 
2025-07-24T04:25:24.7156520Z Running test_expanded_weights 1/1 ... [2025-07-24 04:25:24.715574]
2025-07-24T04:25:24.7156910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:24.7160500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:24.715925]
2025-07-24T04:25:27.1816690Z 
2025-07-24T04:25:27.1817340Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_b42c3a8d7aa578a0_.log
2025-07-24T04:25:27.1817970Z Running 0 items in this shard:
2025-07-24T04:25:27.1818130Z 
2025-07-24T04:25:27.1821480Z Running backends/xeon/test_launch 1/1 ... [2025-07-24 04:25:27.182076]
2025-07-24T04:25:27.1821880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:27.1825180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:27.182399]
2025-07-24T04:25:28.9509100Z 
2025-07-24T04:25:28.9509920Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_de5aa259feba54f1_.log
2025-07-24T04:25:28.9510620Z Running 0 items in this shard:
2025-07-24T04:25:28.9510780Z 
2025-07-24T04:25:28.9513700Z Running test_openmp 1/1 ... [2025-07-24 04:25:28.951303]
2025-07-24T04:25:28.9514030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:28.9517220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:28.951609]
2025-07-24T04:25:30.6723510Z 
2025-07-24T04:25:30.6723950Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_36ac39c41556341b_.log
2025-07-24T04:25:30.6724600Z Running 0 items in this shard:
2025-07-24T04:25:30.6724920Z 
2025-07-24T04:25:30.6727370Z Running test_ops 1/2 ... [2025-07-24 04:25:30.672686]
2025-07-24T04:25:30.6727620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:30.6730560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:30.672940]
2025-07-24T04:25:36.2798760Z 
2025-07-24T04:25:36.2799340Z test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.2_5a551cf5a7e018fd_.log
2025-07-24T04:25:36.2799850Z Running 0 items in this shard:
2025-07-24T04:25:36.2800010Z 
2025-07-24T04:25:36.2803440Z Running test_decomp 2/4 ... [2025-07-24 04:25:36.280275]
2025-07-24T04:25:36.2803730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:36.2806930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:36.280587]
2025-07-24T04:25:39.5570370Z 
2025-07-24T04:25:39.5571060Z test_decomp 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.4_d95a3b884e08eb76_.log
2025-07-24T04:25:39.5576630Z Running 0 items in this shard:
2025-07-24T04:25:39.5576830Z 
2025-07-24T04:25:39.5577000Z Running test_decomp 3/4 ... [2025-07-24 04:25:39.557439]
2025-07-24T04:25:39.5577280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:39.5579060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:39.557807]
2025-07-24T04:25:42.8199400Z 
2025-07-24T04:25:42.8200010Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_0d57486d11cb68a2_.log
2025-07-24T04:25:42.8200620Z Running 0 items in this shard:
2025-07-24T04:25:42.8200780Z 
2025-07-24T04:25:42.8204450Z Running test_decomp 4/4 ... [2025-07-24 04:25:42.820369]
2025-07-24T04:25:42.8204790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:42.8208080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:42.820694]
2025-07-24T04:25:46.0957120Z 
2025-07-24T04:25:46.0957680Z test_decomp 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.4_55a4f340af6f7769_.log
2025-07-24T04:25:46.0958290Z Running 0 items in this shard:
2025-07-24T04:25:46.0958460Z 
2025-07-24T04:25:46.0962050Z Running test_jiterator 1/1 ... [2025-07-24 04:25:46.096129]
2025-07-24T04:25:46.0962380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:46.0965680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:46.096454]
2025-07-24T04:25:47.9299280Z 
2025-07-24T04:25:47.9299840Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e31b0f6d81c517ea_.log
2025-07-24T04:25:47.9300310Z Running 0 items in this shard:
2025-07-24T04:25:47.9300440Z 
2025-07-24T04:25:47.9303430Z Running test_unary_ufuncs 1/1 ... [2025-07-24 04:25:47.930263]
2025-07-24T04:25:47.9303700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:47.9306040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:47.930520]
2025-07-24T04:25:52.2823510Z 
2025-07-24T04:25:52.2824200Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_9c4ba955402edb3b_.log
2025-07-24T04:25:52.2824720Z Running 0 items in this shard:
2025-07-24T04:25:52.2824860Z 
2025-07-24T04:25:52.2827670Z Running test_legacy_vmap 1/1 ... [2025-07-24 04:25:52.282701]
2025-07-24T04:25:52.2827960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:52.2831020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_legacy_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:52.283000]
2025-07-24T04:25:54.1816990Z 
2025-07-24T04:25:54.1817690Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_b2478455243a63e4_.log
2025-07-24T04:25:54.1818300Z Running 0 items in this shard:
2025-07-24T04:25:54.1818470Z 
2025-07-24T04:25:54.1821690Z Running test_function_schema 1/1 ... [2025-07-24 04:25:54.182117]
2025-07-24T04:25:54.1822030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:54.1825620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:54.182438]
2025-07-24T04:25:55.9264810Z 
2025-07-24T04:25:55.9265430Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_089fe5e4ab2caf40_.log
2025-07-24T04:25:55.9266010Z Running 0 items in this shard:
2025-07-24T04:25:55.9266160Z 
2025-07-24T04:25:55.9269420Z Running xpu/test_gemm 1/1 ... [2025-07-24 04:25:55.926876]
2025-07-24T04:25:55.9269740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:55.9272820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:55.927173]
2025-07-24T04:25:57.7745300Z 
2025-07-24T04:25:57.7745850Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_002b464748946198_.log
2025-07-24T04:25:57.7746500Z Running 0 items in this shard:
2025-07-24T04:25:57.7746650Z 
2025-07-24T04:25:57.7749370Z Running lazy/test_functionalization 1/1 ... [2025-07-24 04:25:57.774859]
2025-07-24T04:25:57.7749680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:57.7752210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:57.775118]
2025-07-24T04:25:59.5290250Z 
2025-07-24T04:25:59.5290990Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_943d03cf571ad05e_.log
2025-07-24T04:25:59.5291720Z Running 0 items in this shard:
2025-07-24T04:25:59.5291900Z 
2025-07-24T04:25:59.5295360Z Running distributions/test_constraints 1/1 ... [2025-07-24 04:25:59.529455]
2025-07-24T04:25:59.5295780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:25:59.5299420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:25:59.529798]
2025-07-24T04:26:01.3530010Z 
2025-07-24T04:26:01.3530800Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_34d101a3378291eb_.log
2025-07-24T04:26:01.3531410Z Running 0 items in this shard:
2025-07-24T04:26:01.3531540Z 
2025-07-24T04:26:01.3534030Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-07-24 04:26:01.353325]
2025-07-24T04:26:01.3534350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:01.3536880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:01.353587]
2025-07-24T04:26:03.1291920Z 
2025-07-24T04:26:03.1292580Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_cf3dab70e92569ea_.log
2025-07-24T04:26:03.1293200Z Running 0 items in this shard:
2025-07-24T04:26:03.1293340Z 
2025-07-24T04:26:03.1296060Z Running test_matmul_cuda 1/1 ... [2025-07-24 04:26:03.129526]
2025-07-24T04:26:03.1296320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:03.1298680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:03.129787]
2025-07-24T04:26:05.0173130Z 
2025-07-24T04:26:05.0173770Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_34083b5212882a7b_.log
2025-07-24T04:26:05.0174440Z Running 0 items in this shard:
2025-07-24T04:26:05.0174620Z 
2025-07-24T04:26:05.0178110Z Running test_type_promotion 1/1 ... [2025-07-24 04:26:05.017735]
2025-07-24T04:26:05.0178500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:05.0181980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:05.018075]
2025-07-24T04:26:06.9091160Z 
2025-07-24T04:26:06.9091810Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_06b94a0ceabdf5b8_.log
2025-07-24T04:26:06.9092360Z Running 0 items in this shard:
2025-07-24T04:26:06.9092500Z 
2025-07-24T04:26:06.9095200Z Running test_cuda 1/1 ... [2025-07-24 04:26:06.909466]
2025-07-24T04:26:06.9095480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:06.9098420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:06.909742]
2025-07-24T04:26:09.3915640Z 
2025-07-24T04:26:09.3916160Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_c42be8c2e19e7458_.log
2025-07-24T04:26:09.3921840Z Running 22 items in this shard: test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow, test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow_large, test/test_cuda.py::TestCuda::test_get_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_graph_cudnn_dropout, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_host_memory_stats, test/test_cuda.py::TestCuda::test_huge_index, test/test_cuda.py::TestCuda::test_max_large_axis, test/test_cuda.py::TestCuda::test_out_of_memory_retry, test/test_cuda.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_to_non_blocking, test/test_cuda.py::TestCudaMallocAsync::test_garbage_collect_expandable, test/test_cuda.py::TestCudaMallocAsync::test_max_split_expandable, test/test_cuda.py::TestMemPool::test_mempool_limited_memory_with_allocator
2025-07-24T04:26:09.3927080Z 
2025-07-24T04:26:09.3927210Z Running test_sparse 1/1 ... [2025-07-24 04:26:09.391966]
2025-07-24T04:26:09.3927500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:09.3928350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:09.392257]
2025-07-24T04:26:12.1207150Z 
2025-07-24T04:26:12.1207730Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_88ded5d2a65717ad_.log
2025-07-24T04:26:12.1208300Z Running 0 items in this shard:
2025-07-24T04:26:12.1208450Z 
2025-07-24T04:26:12.1212080Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-07-24 04:26:12.121124]
2025-07-24T04:26:12.1212460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:12.1215570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:12.121443]
2025-07-24T04:26:13.9263320Z 
2025-07-24T04:26:13.9264030Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_d99bccf3db065238_.log
2025-07-24T04:26:13.9264670Z Running 0 items in this shard:
2025-07-24T04:26:13.9264800Z 
2025-07-24T04:26:13.9267320Z Running torch_np/test_indexing 1/1 ... [2025-07-24 04:26:13.926669]
2025-07-24T04:26:13.9267600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:13.9270340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:13.926937]
2025-07-24T04:26:15.6990860Z 
2025-07-24T04:26:15.6991800Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_997bfb815133149d_.log
2025-07-24T04:26:15.6992630Z Running 0 items in this shard:
2025-07-24T04:26:15.6992800Z 
2025-07-24T04:26:15.6995470Z Running optim/test_lrscheduler 1/1 ... [2025-07-24 04:26:15.699478]
2025-07-24T04:26:15.6995830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:15.6999330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:15.699788]
2025-07-24T04:26:17.3588380Z 
2025-07-24T04:26:17.3588960Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_29d01d077eb66045_.log
2025-07-24T04:26:17.3589400Z 
2025-07-24T04:26:17.3592110Z Running test_jit 1/1 ... [2025-07-24 04:26:17.359163]
2025-07-24T04:26:17.3592350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:17.3595390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:17.359429]
2025-07-24T04:26:20.3805880Z 
2025-07-24T04:26:20.3806670Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_339661f7f95f4c55_.log
2025-07-24T04:26:20.3807170Z Running 0 items in this shard:
2025-07-24T04:26:20.3807320Z 
2025-07-24T04:26:20.3810250Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-07-24 04:26:20.380956]
2025-07-24T04:26:20.3810620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:20.3813490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:20.381239]
2025-07-24T04:26:22.1720970Z 
2025-07-24T04:26:22.1721790Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_b4cfd6e7abc6da81_.log
2025-07-24T04:26:22.1722590Z Running 0 items in this shard:
2025-07-24T04:26:22.1722770Z 
2025-07-24T04:26:22.1726180Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-07-24 04:26:22.172543]
2025-07-24T04:26:22.1726640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:22.1730210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:22.172893]
2025-07-24T04:26:23.9185470Z 
2025-07-24T04:26:23.9186110Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_165b85bd9e26f28b_.log
2025-07-24T04:26:23.9186750Z Running 0 items in this shard:
2025-07-24T04:26:23.9186880Z 
2025-07-24T04:26:23.9189620Z Running lazy/test_reuse_ir 1/1 ... [2025-07-24 04:26:23.918899]
2025-07-24T04:26:23.9189890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:23.9192590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:23.919165]
2025-07-24T04:26:25.6733730Z 
2025-07-24T04:26:25.6734370Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_ba0f9753a3e62e42_.log
2025-07-24T04:26:25.6735240Z Running 0 items in this shard:
2025-07-24T04:26:25.6735400Z 
2025-07-24T04:26:25.6738740Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-07-24 04:26:25.673789]
2025-07-24T04:26:25.6739290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:25.6742680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:25.674125]
2025-07-24T04:26:27.4342470Z 
2025-07-24T04:26:27.4343170Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_c69f1afd9486263d_.log
2025-07-24T04:26:27.4343830Z Running 0 items in this shard:
2025-07-24T04:26:27.4343970Z 
2025-07-24T04:26:27.4346700Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-07-24 04:26:27.434601]
2025-07-24T04:26:27.4347040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:27.4349840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:27.434879]
2025-07-24T04:26:29.2014010Z 
2025-07-24T04:26:29.2014810Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_97c72a021d7b23cf_.log
2025-07-24T04:26:29.2015410Z Running 0 items in this shard:
2025-07-24T04:26:29.2015540Z 
2025-07-24T04:26:29.2017870Z Running test_dataloader 1/2 ... [2025-07-24 04:26:29.201717]
2025-07-24T04:26:29.2018140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:29.2020790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_dataloader.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:29.201969]
2025-07-24T04:26:31.2727820Z 
2025-07-24T04:26:31.2728470Z test_dataloader 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.2_93d50e66982834ec_.log
2025-07-24T04:26:31.2729120Z Running 0 items in this shard:
2025-07-24T04:26:31.2729300Z 
2025-07-24T04:26:33.3038510Z Running inductor/test_aot_inductor_utils 1/1 ... [2025-07-24 04:26:33.303611]
2025-07-24T04:26:33.3039300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:33.3039970Z Running inductor/test_torchinductor_opinfo 3/14 ... [2025-07-24 04:26:33.303656]
2025-07-24T04:26:33.3040290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:33.3040610Z Running inductor/test_torchinductor_opinfo 10/14 ... [2025-07-24 04:26:33.303708]
2025-07-24T04:26:33.3040920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:33.3041790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_aot_inductor_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:33.303918]
2025-07-24T04:26:33.3043470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=3', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:33.303939]
2025-07-24T04:26:33.3044990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=10', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:33.303973]
2025-07-24T04:26:36.0750800Z 
2025-07-24T04:26:36.0751610Z inductor/test_aot_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_utils_1.1_a48ad3cf6636c165_.log
2025-07-24T04:26:36.0752210Z Running 0 items in this shard:
2025-07-24T04:26:36.0752360Z 
2025-07-24T04:26:38.2508470Z Running inductor/test_torchinductor_opinfo 11/14 ... [2025-07-24 04:26:38.250629]
2025-07-24T04:26:38.2509350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:26:38.2511580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=11', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:26:38.250931]
2025-07-24T04:35:29.2403590Z 
2025-07-24T04:35:29.2404250Z inductor/test_torchinductor_opinfo 11/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.14_2113d36b4af37f92_.log
2025-07-24T04:35:29.2483310Z Running 259 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__chunk_cat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_uint8
2025-07-24T04:35:29.2558240Z 
2025-07-24T04:35:31.4913000Z Running inductor/test_torchinductor_opinfo 12/14 ... [2025-07-24 04:35:31.491043]
2025-07-24T04:35:31.4913940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:35:31.4916270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=12', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:35:31.491385]
2025-07-24T04:35:53.2942820Z 
2025-07-24T04:35:53.2944000Z inductor/test_torchinductor_opinfo 3/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.14_4c0ffd6d5e76986b_.log
2025-07-24T04:35:53.3019890Z Running 251 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__batch_norm_with_update_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__segment_reduce_offsets_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_partial_views_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_strided_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geometric_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_item_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_head_attention_forward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64
2025-07-24T04:35:53.3092790Z 
2025-07-24T04:35:55.4186520Z Running inductor/test_cudagraph_trees 1/1 ... [2025-07-24 04:35:55.418427]
2025-07-24T04:35:55.4187360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:35:55.4189580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:35:55.418731]
2025-07-24T04:35:58.1606440Z 
2025-07-24T04:35:58.1607040Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_fb539f54758fb155_.log
2025-07-24T04:35:58.1607530Z 
2025-07-24T04:36:00.2175160Z Running inductor/test_smoke 1/1 ... [2025-07-24 04:36:00.217326]
2025-07-24T04:36:00.2175930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:00.2178210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:00.217623]
2025-07-24T04:36:02.7785460Z 
2025-07-24T04:36:02.7787040Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_d0149958c2a12b9a_.log
2025-07-24T04:36:02.7788730Z 
2025-07-24T04:36:04.8303780Z Running inductor/test_select_algorithm 1/1 ... [2025-07-24 04:36:04.830085]
2025-07-24T04:36:04.8304670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:04.8306260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:04.830391]
2025-07-24T04:36:07.5062980Z 
2025-07-24T04:36:07.5063900Z inductor/test_torchinductor_opinfo 10/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_10.14_c911d199395effe9_.log
2025-07-24T04:36:07.5145220Z Running 269 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float16, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_head_attention_forward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_negative_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_static_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_cosine_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64
2025-07-24T04:36:07.5222870Z 
2025-07-24T04:36:07.5711340Z 
2025-07-24T04:36:07.5711950Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_59cf83732bcaa41b_.log
2025-07-24T04:36:07.5712450Z 
2025-07-24T04:36:09.7286430Z Running inductor/test_extension_backend 1/1 ... [2025-07-24 04:36:09.728440]
2025-07-24T04:36:09.7287290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:09.7289520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:09.728712]
2025-07-24T04:36:09.7495030Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-07-24 04:36:09.749325]
2025-07-24T04:36:09.7495860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:09.7497170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:09.749599]
2025-07-24T04:36:12.4583550Z 
2025-07-24T04:36:12.4584680Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_7bafcbaa710e73ae_.log
2025-07-24T04:36:12.5144660Z 
2025-07-24T04:36:12.5144670Z 
2025-07-24T04:36:12.5145740Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_685db0c9721ea1ef_.log
2025-07-24T04:36:12.5146460Z 
2025-07-24T04:36:14.6372380Z Running inductor/test_perf 1/1 ... [2025-07-24 04:36:14.637038]
2025-07-24T04:36:14.6373130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:14.6375230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:14.637308]
2025-07-24T04:36:14.6722160Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-07-24 04:36:14.672073]
2025-07-24T04:36:14.6722750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:14.6724670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:14.672348]
2025-07-24T04:36:17.4077190Z 
2025-07-24T04:36:17.4078140Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_e71b5773e28e6b3b_.log
2025-07-24T04:36:17.4078570Z 
2025-07-24T04:36:17.7785600Z 
2025-07-24T04:36:17.7786350Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_ac46a136dade3511_.log
2025-07-24T04:36:17.7786870Z 
2025-07-24T04:36:19.7607700Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-07-24 04:36:19.760520]
2025-07-24T04:36:19.7608630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:19.7610940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:19.760877]
2025-07-24T04:36:20.0051320Z Running inductor/test_triton_extension_backend 1/1 ... [2025-07-24 04:36:19.995077]
2025-07-24T04:36:20.0181620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:20.0331230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:19.995353]
2025-07-24T04:36:22.7233110Z 
2025-07-24T04:36:22.7233980Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_11554c93beae0a8a_.log
2025-07-24T04:36:22.7234500Z 
2025-07-24T04:36:22.8988910Z 
2025-07-24T04:36:22.8989750Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_1e784776828e447b_.log
2025-07-24T04:36:22.8990280Z 
2025-07-24T04:36:24.9968200Z Running inductor/test_analysis 1/1 ... [2025-07-24 04:36:24.996633]
2025-07-24T04:36:24.9968930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:24.9970250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:24.996922]
2025-07-24T04:36:25.1279720Z Running inductor/test_flex_decoding 1/1 ... [2025-07-24 04:36:25.127766]
2025-07-24T04:36:25.1280090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:25.1281220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:25.128031]
2025-07-24T04:36:27.8954880Z 
2025-07-24T04:36:27.8956420Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_dbee7da76e0fea76_.log
2025-07-24T04:36:27.8964700Z Running 26 items in this shard: test/inductor/test_analysis.py::TestUtils::test_tabulate2d, test/inductor/test_analysis.py::TestUtils::test_zip_dicts, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_helper_unit_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float64, test/inductor/test_analysis.py::TestAnalysisCPU::test_noop_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float64
2025-07-24T04:36:27.8971260Z 
2025-07-24T04:36:27.9568190Z 
2025-07-24T04:36:27.9569280Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_cbe8a4bb6a260172_.log
2025-07-24T04:36:27.9705840Z Running 398 items in this shard: test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod0_BLOCK_SIZE_64_cpu_float32, test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_decoding.py::TestFlexDecodingCPU::test_builtin_score_mods_different_block_size_float32_score_mod1_BLOCK_SIZE3_cpu_float32, 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2025-07-24T04:36:27.9831700Z 
2025-07-24T04:36:30.0851910Z Running inductor/test_compile_worker 1/1 ... [2025-07-24 04:36:30.084969]
2025-07-24T04:36:30.0852740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:30.0854930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:30.085271]
2025-07-24T04:36:30.1438120Z Running inductor/test_inductor_utils 1/1 ... [2025-07-24 04:36:30.143666]
2025-07-24T04:36:30.1438430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:30.1440270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_inductor_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:30.143929]
2025-07-24T04:36:32.1390250Z 
2025-07-24T04:36:32.1390840Z inductor/test_inductor_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_utils_1.1_bad0aeaa07abbf58_.log
2025-07-24T04:36:32.1391320Z 
2025-07-24T04:36:34.3753900Z Running dynamo/test_utils 1/1 ... [2025-07-24 04:36:34.375191]
2025-07-24T04:36:34.3855420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:34.3958870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:34.375955]
2025-07-24T04:36:39.4691760Z 
2025-07-24T04:36:39.4693430Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_fee89165ecf53ece_.log
2025-07-24T04:36:39.4696540Z Running 4 items in this shard: test/inductor/test_compile_worker.py::TestCompileWorker::test_basic_jobs, test/inductor/test_compile_worker.py::TestCompileWorker::test_crash, test/inductor/test_compile_worker.py::TestCompileWorker::test_exception, test/inductor/test_compile_worker.py::TestCompileWorker::test_quiesce
2025-07-24T04:36:39.4697630Z 
2025-07-24T04:36:41.5213300Z Running dynamo/test_optimizers 1/1 ... [2025-07-24 04:36:41.521111]
2025-07-24T04:36:41.5214120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:41.5216330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:41.521399]
2025-07-24T04:36:44.4466530Z 
2025-07-24T04:36:44.4467420Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_da67655015e9a3f7_.log
2025-07-24T04:36:44.4468480Z Running 3 items in this shard: test/dynamo/test_optimizers.py::End2EndTests::test_init_group, test/dynamo/test_optimizers.py::End2EndTests::test_optimizing_over_tensor_with_requires_grad, test/dynamo/test_optimizers.py::End2EndTests::test_state_dict
2025-07-24T04:36:44.4469140Z 
2025-07-24T04:36:46.5441440Z Running export/test_export_strict 1/1 ... [2025-07-24 04:36:46.543979]
2025-07-24T04:36:46.5441760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:46.5443680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:46.544270]
2025-07-24T04:36:47.2559180Z 
2025-07-24T04:36:47.2560130Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_040c20f6cb548c88_.log
2025-07-24T04:36:47.2562900Z Running 11 items in this shard: test/dynamo/test_utils.py::TestUtils::test_graph_break_counting, test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_even_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_nan, test/dynamo/test_utils.py::TestUtils::test_traced_code_query, test/dynamo/test_utils.py::TestDynamoTimed::test_dynamic_shape_feature_use, test/dynamo/test_utils.py::TestDynamoTimed::test_dynamo_timed, test/dynamo/test_utils.py::TestDynamoTimed::test_ir_count, test/dynamo/test_utils.py::TestDynamoTimed::test_num_params, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_jsonify, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_parsing_non_conforming_items
2025-07-24T04:36:47.2565060Z 
2025-07-24T04:36:49.3176030Z Running inductor/test_compile_subprocess 1/1 ... [2025-07-24 04:36:49.317378]
2025-07-24T04:36:49.3176880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:36:49.3179150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:36:49.317685]
2025-07-24T04:38:40.6790140Z 
2025-07-24T04:38:40.6790690Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_b754a80172a188fb_.log
2025-07-24T04:38:40.6896580Z Running 400 items in this shard: test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_assume_static_by_default_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_constraints_error_not_in_range_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_constraints_error_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_inline_constraints_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_slice_maxsize_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_slice_unbacked_dim1_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_strict, test/export/test_export_strict.py::StrictExportTestExport::test__scaled_dot_product_flash_attention_strict, test/export/test_export_strict.py::StrictExportTestExport::test_additional_inputs_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_allow_explicit_guards_as_runtime_asserts_strict, test/export/test_export_strict.py::StrictExportTestExport::test_args_type_checked_strict, test/export/test_export_strict.py::StrictExportTestExport::test_aten_lift_fresh_copy_strict, test/export/test_export_strict.py::StrictExportTestExport::test_attention_strict, test/export/test_export_strict.py::StrictExportTestExport::test_attr_assignment_extra_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_constrain_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_constant_relation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_linear_relation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_simple_equality_strict, test/export/test_export_strict.py::StrictExportTestExport::test_baddbmm_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_non_strict_fake_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_non_strict_real_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_bincount_strict, test/export/test_export_strict.py::StrictExportTestExport::test_buffer_util_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_constructor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_constructor_torch_ir_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_wrong_strict, test/export/test_export_strict.py::StrictExportTestExport::test_check_specialized_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_checks_to_constrain_range_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cleanup_dynamic_markers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_colin_unbacked_backed_vr_sub_strict, test/export/test_export_strict.py::StrictExportTestExport::test_colon_parameter_strict, test/export/test_export_strict.py::StrictExportTestExport::test_compiling_state_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_access_identical_symint_closure_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_branches_return_constant_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_branches_return_same_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_contains_unbacked_no_escape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_int_closure_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_with_module_stack_export_with_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_with_module_stack_export_with_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_aliasing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_input_naming_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_no_user_inp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_output_dup_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_requires_grad_const_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_return_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_with_non_functional_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_with_non_functional_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_decomp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_in_eager_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_with_constrain_value_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_with_various_cases_strict, test/export/test_export_strict.py::StrictExportTestExport::test_conv_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_crop_like_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cse_for_symint_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_functionalize_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_warn_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_preserve_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_pytree_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_tag_metadata_re_export_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_batch_norm_functional_predispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_item_in_prim_after_decomposition_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_item_in_prim_before_decomposition_strict, test/export/test_export_strict.py::StrictExportTestExport::test_default_decomposition_core_cia_ops_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_1_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_integer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_repeat_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_simplified_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_repeat_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_gpu_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_mutation_float_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_static_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_1_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_auto_and_dim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_dynamic_divisibility_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_dynamic_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_hint_range_violations_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dim_hint_ranges_strict, test/export/test_export_strict.py::StrictExportTestExport::test_disable_forced_specializations_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_disable_forced_specializations_ok_strict, test/export/test_export_strict.py::StrictExportTestExport::test_distributed_all_gather_into_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_distributed_all_gather_strict, test/export/test_export_strict.py::StrictExportTestExport::test_distributed_all_reduce_strict, test/export/test_export_strict.py::StrictExportTestExport::test_distributed_all_to_all_single_strict, test/export/test_export_strict.py::StrictExportTestExport::test_distributed_reduce_scatter_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dont_duck_size_for_auto_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_double_lifted_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_aliasing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_list_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_with_nan_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_fake_kernel_inference_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_infers_fake_kernel_strict, test/export/test_export_strict.py::StrictExportTestExport::test_duplicate_modules_with_non_persistent_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_lr_shift_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_bounds_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_builder_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_builder_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_builder_pytree_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_dataclass_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_inferred_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_serdes_generic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_serdes_user_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_serdes_various_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_spec_with_pytree_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_sym_round_strict, test/export/test_export_strict.py::StrictExportTestExport::test_ends_of_bounds_oblivious_strict, test/export/test_export_strict.py::StrictExportTestExport::test_error_does_not_reference_eager_fallback_strict, test/export/test_export_strict.py::StrictExportTestExport::test_error_when_passing_mutating_primitive_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_api_with_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_as_backend_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_lifted_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_symbol_dim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_symbol_scandim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_subclass_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_symbool_pred_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_warns_constant_pred_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_decomp_table_basic_pop_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_decomp_table_container_methods_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_op_lib_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_triton_kernel_mutable_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_triton_kernel_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomp_torture_case_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomp_torture_case_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomps_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomps_simple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_dynamo_config_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_run_decomp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_container_type_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_state_dict_hooks_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_default_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_keyword_only_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_pytree_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_keyword_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_keyword_pytree_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_postional_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_function_schema_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_graph_with_no_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_bug_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_dynamic_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_static_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_linear_preserve_dynamic_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_max_nonstrict_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_max_onnx_reported_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_mod_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_preserve_linear_at_aot_level_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_preserve_linear_but_not_custom_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_scan_pytree_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_script_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_statically_known_true_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_then_compile_tensor_ctor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_autocast_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_fake_tensor_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_inline_constraints_complex_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_inline_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_set_grad_enabled_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_no_check_is_size_error_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_3_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_preserve_module_call_signature_unflatten_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_preserve_requires_grad_placeholders_strict, test/export/test_export_strict.py::StrictExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_profiling_code_strict, test/export/test_export_strict.py::StrictExportTestExport::test_python_asserts_with_sym_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_pytree_register_data_class_strict, test/export/test_export_strict.py::StrictExportTestExport::test_pytree_register_nested_data_class_strict, test/export/test_export_strict.py::StrictExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_range_constraints_with_replacement_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_replace_unbacked_with_very_large_upperbound_strict, test/export/test_export_strict.py::StrictExportTestExport::test_replaced_unbacked_bindings_strict, test/export/test_export_strict.py::StrictExportTestExport::test_reshape_view_helper_strict, test/export/test_export_strict.py::StrictExportTestExport::test_retracable_ep_strict, test/export/test_export_strict.py::StrictExportTestExport::test_retrace_pre_autograd_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decomposition_supports_user_input_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decompositions_keep_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_for_prim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_for_prm_str_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_with_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sequential_slicing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_example_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_grad_empty_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_grad_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_setgrad_lifted_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_shared_submodule_nn_module_stack_strict, test/export/test_export_strict.py::StrictExportTestExport::test_simple_export_for_training_strict, test/export/test_export_strict.py::StrictExportTestExport::test_simple_unbacked_view_strict, test/export/test_export_strict.py::StrictExportTestExport::test_size_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_slice_nn_module_stack_strict, test/export/test_export_strict.py::StrictExportTestExport::test_solver_unsupported_sympy_function_strict, test/export/test_export_strict.py::StrictExportTestExport::test_specialize_derived_dim_roots_strict, test/export/test_export_strict.py::StrictExportTestExport::test_split_const_gm_with_lifted_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_stack_trace_make_fx_strict, test/export/test_export_strict.py::StrictExportTestExport::test_stack_trace_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_primitives_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_shape_attribute_assignment_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_tensors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_static_dim_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_complicated_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_const_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclasses_parameterization_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclasses_parameterization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggest_torch_checks_with_non_negative_check_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_ranges_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_shapes_collection_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_item_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_tensor_return_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_attribute_zero_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_constant_aten_to_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_constant_with_wrapped_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_multiple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tolist_strict, test/export/test_export_strict.py::StrictExportTestExport::test_torch_check_eq_commutativity_strict, test/export/test_export_strict.py::StrictExportTestExport::test_torch_fn_strict, test/export/test_export_strict.py::StrictExportTestExport::test_trace_under_fake_strict, test/export/test_export_strict.py::StrictExportTestExport::test_train_eval_on_exported_preautograd_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_bincount_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_bindings_for_divisible_u_symint_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_deferred_runtime_retrace_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_expand_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_infer_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_kth_value_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_linear_layer_norm_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_noncontig_lin_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_pad_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_scalar_constructor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_slice_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_to_cond_passthrough_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_to_cond_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_unsqueeze_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_asserts_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_buffer_update_child2parent_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_isinstance_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_shared_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_state_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_no_unroll_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_placeholder_update_child2parent_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_5_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_6_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_buf_8_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_const_preserving_3_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_const_preserving_3_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_6_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_9_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_preserving_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unused_aliases_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unused_constant_strict, test/export/test_export_strict.py::StrictExportTestExport::test_use_embedding_twice_strict, test/export/test_export_strict.py::StrictExportTestExport::test_user_input_and_buffer_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_assert_separation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_index_assertions_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_simple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_tensor_constant_idx_strict, test/export/test_export_strict.py::StrictExportTestExport::test_wrapper_module_strict
2025-07-24T04:38:40.6997380Z 
2025-07-24T04:38:42.7025910Z Running inductor/test_b2b_gemm 1/1 ... [2025-07-24 04:38:42.702379]
2025-07-24T04:38:42.7026720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:38:42.7028840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:38:42.702660]
2025-07-24T04:38:45.2133560Z 
2025-07-24T04:38:45.2134520Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_3958cf2b91f8b47d_.log
2025-07-24T04:38:45.2135180Z 
2025-07-24T04:38:47.2448250Z Running inductor/test_subgraph_choice 1/1 ... [2025-07-24 04:38:47.244656]
2025-07-24T04:38:47.2449490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:38:47.2450350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:38:47.244913]
2025-07-24T04:38:49.8870680Z 
2025-07-24T04:38:49.8873050Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_d97c69482b2d424b_.log
2025-07-24T04:38:49.8873630Z 
2025-07-24T04:38:51.9404270Z Running inductor/test_inplace_padding 1/1 ... [2025-07-24 04:38:51.940157]
2025-07-24T04:38:51.9405120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:38:51.9407310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:38:51.940449]
2025-07-24T04:38:54.6089360Z 
2025-07-24T04:38:54.6090200Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_4d3e54b22f6e85dd_.log
2025-07-24T04:38:54.6090700Z 
2025-07-24T04:38:56.6910200Z Running inductor/test_memory_planning 1/1 ... [2025-07-24 04:38:56.690807]
2025-07-24T04:38:56.6911030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:38:56.6913250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_memory_planning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:38:56.691094]
2025-07-24T04:38:59.2702000Z 
2025-07-24T04:38:59.2702930Z inductor/test_memory_planning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_planning_1.1_056fb7bb09d6ccca_.log
2025-07-24T04:38:59.2703430Z 
2025-07-24T04:39:01.3387120Z Running inductor/test_xpu_basic 1/1 ... [2025-07-24 04:39:01.338438]
2025-07-24T04:39:01.3387930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:01.3390060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:01.338725]
2025-07-24T04:39:04.0508700Z 
2025-07-24T04:39:04.0509600Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_ecdeed54bc0248cb_.log
2025-07-24T04:39:04.0510070Z 
2025-07-24T04:39:06.1117040Z Running inductor/test_online_softmax 1/1 ... [2025-07-24 04:39:06.111483]
2025-07-24T04:39:06.1117890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:06.1120080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:06.111782]
2025-07-24T04:39:08.6754130Z 
2025-07-24T04:39:08.6755230Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_f41d41b767906ce4_.log
2025-07-24T04:39:08.6755720Z 
2025-07-24T04:39:10.7622170Z Running inductor/test_profiler 1/1 ... [2025-07-24 04:39:10.762011]
2025-07-24T04:39:10.7622960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:10.7625100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:10.762312]
2025-07-24T04:39:13.3319660Z 
2025-07-24T04:39:13.3320520Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_f44ba95e889828a1_.log
2025-07-24T04:39:13.3321000Z 
2025-07-24T04:39:15.4103200Z Running dynamo/test_comptime 1/1 ... [2025-07-24 04:39:15.410170]
2025-07-24T04:39:15.4103950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:15.4107090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:15.410459]
2025-07-24T04:39:23.5955210Z 
2025-07-24T04:39:23.5956770Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_514091754fd161f2_.log
2025-07-24T04:39:23.5960270Z Running 12 items in this shard: test/dynamo/test_comptime.py::ComptimeTests::test_get_local, test/dynamo/test_comptime.py::ComptimeTests::test_get_local_closure_variable, test/dynamo/test_comptime.py::ComptimeTests::test_graph_break, test/dynamo/test_comptime.py::ComptimeTests::test_print_bt, test/dynamo/test_comptime.py::ComptimeTests::test_print_direct, test/dynamo/test_comptime.py::ComptimeTests::test_print_disas, test/dynamo/test_comptime.py::ComptimeTests::test_print_graph, test/dynamo/test_comptime.py::ComptimeTests::test_print_guards, test/dynamo/test_comptime.py::ComptimeTests::test_print_locals, test/dynamo/test_comptime.py::ComptimeTests::test_print_single, test/dynamo/test_comptime.py::ComptimeTests::test_print_value_stack, test/dynamo/test_comptime.py::ComptimeTests::test_sleep
2025-07-24T04:39:23.5962360Z 
2025-07-24T04:39:25.6252960Z Running dynamo/test_install_free_tensors 1/1 ... [2025-07-24 04:39:25.625108]
2025-07-24T04:39:25.6253970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:25.6256880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:25.625389]
2025-07-24T04:39:43.3523820Z 
2025-07-24T04:39:43.3524720Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_ab7e03b24ad0514a_.log
2025-07-24T04:39:43.3531640Z Running 25 items in this shard: test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_breadth_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nested_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nets_as_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_dict_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_global_tensor_export, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_modify_net_state, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nested_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nonlocal_closure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_linear, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_tensors_as_nn_attr, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_user_defined_object
2025-07-24T04:39:43.3538190Z 
2025-07-24T04:39:45.3840810Z Running inductor/test_ordered_set 1/1 ... [2025-07-24 04:39:45.383864]
2025-07-24T04:39:45.3841630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:45.3843770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:45.384154]
2025-07-24T04:39:48.8809060Z 
2025-07-24T04:39:48.8810470Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_cda7b9fd963ab8ee_.log
2025-07-24T04:39:48.8928840Z Running 401 items in this shard: test/inductor/test_ordered_set.py::TestJointOps::test_and, test/inductor/test_ordered_set.py::TestJointOps::test_badcmp, test/inductor/test_ordered_set.py::TestJointOps::test_container_iterator, test/inductor/test_ordered_set.py::TestJointOps::test_contains, test/inductor/test_ordered_set.py::TestJointOps::test_cyclical_repr, test/inductor/test_ordered_set.py::TestJointOps::test_deepcopy, test/inductor/test_ordered_set.py::TestJointOps::test_difference, test/inductor/test_ordered_set.py::TestJointOps::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestJointOps::test_equality, test/inductor/test_ordered_set.py::TestJointOps::test_free_after_iterating, test/inductor/test_ordered_set.py::TestJointOps::test_gc, test/inductor/test_ordered_set.py::TestJointOps::test_intersection, test/inductor/test_ordered_set.py::TestJointOps::test_isdisjoint, test/inductor/test_ordered_set.py::TestJointOps::test_iterator_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_len, test/inductor/test_ordered_set.py::TestJointOps::test_new_or_init, test/inductor/test_ordered_set.py::TestJointOps::test_or, test/inductor/test_ordered_set.py::TestJointOps::test_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestJointOps::test_sub, test/inductor/test_ordered_set.py::TestJointOps::test_sub_and_super, test/inductor/test_ordered_set.py::TestJointOps::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestJointOps::test_symmetric_difference, test/inductor/test_ordered_set.py::TestJointOps::test_union, test/inductor/test_ordered_set.py::TestJointOps::test_uniquification, test/inductor/test_ordered_set.py::TestJointOps::test_xor, test/inductor/test_ordered_set.py::TestSet::test_add, test/inductor/test_ordered_set.py::TestSet::test_and, test/inductor/test_ordered_set.py::TestSet::test_badcmp, test/inductor/test_ordered_set.py::TestSet::test_clear, test/inductor/test_ordered_set.py::TestSet::test_constructor_identity, test/inductor/test_ordered_set.py::TestSet::test_container_iterator, test/inductor/test_ordered_set.py::TestSet::test_contains, test/inductor/test_ordered_set.py::TestSet::test_copy, test/inductor/test_ordered_set.py::TestSet::test_cyclical_repr, test/inductor/test_ordered_set.py::TestSet::test_deepcopy, test/inductor/test_ordered_set.py::TestSet::test_difference, test/inductor/test_ordered_set.py::TestSet::test_difference_update, test/inductor/test_ordered_set.py::TestSet::test_discard, test/inductor/test_ordered_set.py::TestSet::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestSet::test_equality, test/inductor/test_ordered_set.py::TestSet::test_free_after_iterating, test/inductor/test_ordered_set.py::TestSet::test_gc, test/inductor/test_ordered_set.py::TestSet::test_hash, test/inductor/test_ordered_set.py::TestSet::test_iand, test/inductor/test_ordered_set.py::TestSet::test_init, test/inductor/test_ordered_set.py::TestSet::test_inplace_on_self, test/inductor/test_ordered_set.py::TestSet::test_intersection, test/inductor/test_ordered_set.py::TestSet::test_intersection_update, test/inductor/test_ordered_set.py::TestSet::test_ior, test/inductor/test_ordered_set.py::TestSet::test_isdisjoint, test/inductor/test_ordered_set.py::TestSet::test_isub, test/inductor/test_ordered_set.py::TestSet::test_iterator_pickling, test/inductor/test_ordered_set.py::TestSet::test_ixor, test/inductor/test_ordered_set.py::TestSet::test_len, test/inductor/test_ordered_set.py::TestSet::test_new_or_init, test/inductor/test_ordered_set.py::TestSet::test_or, test/inductor/test_ordered_set.py::TestSet::test_pickling, test/inductor/test_ordered_set.py::TestSet::test_pop, test/inductor/test_ordered_set.py::TestSet::test_remove, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_set, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_unpacking, test/inductor/test_ordered_set.py::TestSet::test_rich_compare, test/inductor/test_ordered_set.py::TestSet::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestSet::test_set_literal, test/inductor/test_ordered_set.py::TestSet::test_set_literal_evaluation_order, test/inductor/test_ordered_set.py::TestSet::test_set_literal_insertion_order, test/inductor/test_ordered_set.py::TestSet::test_sub, test/inductor/test_ordered_set.py::TestSet::test_sub_and_super, test/inductor/test_ordered_set.py::TestSet::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference_update, test/inductor/test_ordered_set.py::TestSet::test_union, test/inductor/test_ordered_set.py::TestSet::test_uniquification, test/inductor/test_ordered_set.py::TestSet::test_update, test/inductor/test_ordered_set.py::TestSet::test_weakref, test/inductor/test_ordered_set.py::TestSet::test_xor, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_length, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_length, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsString::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsString::test_length, test/inductor/test_ordered_set.py::TestBasicOpsString::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsString::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_union_empty, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_changingSizeWhileIterating, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instanceWithException, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instancesWithoutException, test/inductor/test_ordered_set.py::TestSetOfSets::test_constructor, test/inductor/test_ordered_set.py::TestBinaryOps::test_eq, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_superset, test/inductor/test_ordered_set.py::TestMutate::test_add_absent, test/inductor/test_ordered_set.py::TestMutate::test_add_present, test/inductor/test_ordered_set.py::TestMutate::test_add_until_full, test/inductor/test_ordered_set.py::TestMutate::test_clear, test/inductor/test_ordered_set.py::TestMutate::test_discard_absent, test/inductor/test_ordered_set.py::TestMutate::test_discard_present, test/inductor/test_ordered_set.py::TestMutate::test_pop, test/inductor/test_ordered_set.py::TestMutate::test_remove_absent, test/inductor/test_ordered_set.py::TestMutate::test_remove_present, test/inductor/test_ordered_set.py::TestMutate::test_remove_until_empty, test/inductor/test_ordered_set.py::TestMutate::test_update_empty_tuple, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_non_overlap, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_overlap, test/inductor/test_ordered_set.py::TestSubsets::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEmptyNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetPartial::test_issubset, test/inductor/test_ordered_set.py::TestSubsetNonOverlap::test_issubset, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_union, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_union, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_union, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsString::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_union, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update_operator, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_copy, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_deep_copy, test/inductor/test_ordered_set.py::TestIdentities::test_binopsVsSubsets, test/inductor/test_ordered_set.py::TestIdentities::test_commutativity, test/inductor/test_ordered_set.py::TestIdentities::test_exclusion, test/inductor/test_ordered_set.py::TestIdentities::test_summations, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_constructor, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inline_methods, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inplace_methods, test/inductor/test_ordered_set.py::TestWeirdBugs::test_8420_set_merge, test/inductor/test_ordered_set.py::TestWeirdBugs::test_iter_and_mutate, test/inductor/test_ordered_set.py::TestWeirdBugs::test_merge_and_mutate, test/inductor/test_ordered_set.py::TestGraphs::test_cube, test/inductor/test_ordered_set.py::TestGraphs::test_cuboctahedron
2025-07-24T04:39:48.9002620Z 
2025-07-24T04:39:50.9294140Z Running dynamo/test_list 1/1 ... [2025-07-24 04:39:50.929240]
2025-07-24T04:39:50.9294880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:50.9297140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:50.929520]
2025-07-24T04:39:54.1900380Z 
2025-07-24T04:39:54.1901000Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_246303503e866c1c_.log
2025-07-24T04:39:54.1906770Z Running 39 items in this shard: test/dynamo/test_list.py::TupleTests::test___contains__, test/dynamo/test_list.py::TupleTests::test___getitem__, test/dynamo/test_list.py::TupleTests::test_binop_add, test/dynamo/test_list.py::TupleTests::test_binop_imul, test/dynamo/test_list.py::TupleTests::test_cmp_eq, test/dynamo/test_list.py::TupleTests::test_cmp_greater_than, test/dynamo/test_list.py::TupleTests::test_cmp_greater_than_or_equal, test/dynamo/test_list.py::TupleTests::test_cmp_less_than, test/dynamo/test_list.py::TupleTests::test_cmp_less_than_or_equal, test/dynamo/test_list.py::TupleTests::test_cmp_ne, test/dynamo/test_list.py::TupleTests::test_count, test/dynamo/test_list.py::TupleTests::test_index, test/dynamo/test_list.py::ListTests::test___contains__, test/dynamo/test_list.py::ListTests::test___delitem__, test/dynamo/test_list.py::ListTests::test___getitem__, test/dynamo/test_list.py::ListTests::test___setitem__, test/dynamo/test_list.py::ListTests::test_append, test/dynamo/test_list.py::ListTests::test_binop_add, test/dynamo/test_list.py::ListTests::test_binop_delitem_global_list, test/dynamo/test_list.py::ListTests::test_binop_iadd, test/dynamo/test_list.py::ListTests::test_binop_iadd_global_list, test/dynamo/test_list.py::ListTests::test_binop_imul, test/dynamo/test_list.py::ListTests::test_binop_imul_global_list, test/dynamo/test_list.py::ListTests::test_clear, test/dynamo/test_list.py::ListTests::test_cmp_eq, test/dynamo/test_list.py::ListTests::test_cmp_greater_than, test/dynamo/test_list.py::ListTests::test_cmp_greater_than_or_equal, test/dynamo/test_list.py::ListTests::test_cmp_less_than, test/dynamo/test_list.py::ListTests::test_cmp_less_than_or_equal, test/dynamo/test_list.py::ListTests::test_cmp_ne, test/dynamo/test_list.py::ListTests::test_copy, test/dynamo/test_list.py::ListTests::test_count, test/dynamo/test_list.py::ListTests::test_extend, test/dynamo/test_list.py::ListTests::test_index, test/dynamo/test_list.py::ListTests::test_insert, test/dynamo/test_list.py::ListTests::test_pop, test/dynamo/test_list.py::ListTests::test_remove, test/dynamo/test_list.py::ListTests::test_reverse, test/dynamo/test_list.py::ListTests::test_sort
2025-07-24T04:39:54.1912320Z 
2025-07-24T04:39:56.2452230Z Running dynamo/test_unittest 1/1 ... [2025-07-24 04:39:56.245021]
2025-07-24T04:39:56.2453010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:39:56.2455470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:39:56.245303]
2025-07-24T04:39:58.4888060Z 
2025-07-24T04:39:58.4888730Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_ad0747b2b1987a90_.log
2025-07-24T04:39:58.4889390Z Running 1 items in this shard: test/dynamo/test_unittest.py::TestUnittest::test_SkipTest
2025-07-24T04:39:58.4889670Z 
2025-07-24T04:40:00.5489790Z Running dynamo/test_model_output 1/1 ... [2025-07-24 04:40:00.548750]
2025-07-24T04:40:00.5490580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:00.5492720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:00.549043]
2025-07-24T04:40:02.8635340Z 
2025-07-24T04:40:02.8636180Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_8d71a35f762ab70a_.log
2025-07-24T04:40:02.8640130Z Running 18 items in this shard: test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_assign, test/dynamo/test_model_output.py::TestModelOutput::test_mo_create, test/dynamo/test_model_output.py::TestModelOutput::test_mo_from_outside, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr_missing, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getitem, test/dynamo/test_model_output.py::TestModelOutput::test_mo_index, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init2, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init_with_disable, test/dynamo/test_model_output.py::TestModelOutput::test_mo_newkey, test/dynamo/test_model_output.py::TestModelOutput::test_mo_reconstruct_bytecode, test/dynamo/test_model_output.py::TestModelOutput::test_mo_tuple, test/dynamo/test_model_output.py::TestModelOutput::test_none, test/dynamo/test_model_output.py::TestModelOutput::test_reconstruction, test/dynamo/test_model_output.py::TestModelOutputBertCPU::test_HF_bert_model_output_cpu
2025-07-24T04:40:02.8643740Z 
2025-07-24T04:40:04.9229470Z Running inductor/test_cutlass_evt 1/1 ... [2025-07-24 04:40:04.922790]
2025-07-24T04:40:04.9229790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:04.9231700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:04.923068]
2025-07-24T04:40:07.5855760Z 
2025-07-24T04:40:07.5856320Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_c72f6cf1220c1ae5_.log
2025-07-24T04:40:07.5858490Z Running 8 items in this shard: test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_argument_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_argument_codegen_return_accumulator, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_evt_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_example_tensor_creation, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_accumulator_return, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_broadcasting, test/inductor/test_cutlass_evt.py::TestCutlassEVT::test_py_codegen_disjoint_read_indexing
2025-07-24T04:40:07.5860390Z 
2025-07-24T04:40:09.6369270Z Running inductor/test_helion_kernels 1/1 ... [2025-07-24 04:40:09.636714]
2025-07-24T04:40:09.6370100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:09.6372310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:09.636991]
2025-07-24T04:40:12.2972200Z 
2025-07-24T04:40:12.2973660Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_b877f89074bf89cd_.log
2025-07-24T04:40:12.2974650Z Running 2 items in this shard: test/inductor/test_helion_kernels.py::HelionTests::test_add_kernel, test/inductor/test_helion_kernels.py::HelionTests::test_softmax_view_reshape
2025-07-24T04:40:12.2975160Z 
2025-07-24T04:40:14.3287830Z Running dynamo/test_pgo 1/1 ... [2025-07-24 04:40:14.328571]
2025-07-24T04:40:14.3288570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:14.3290640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:14.328862]
2025-07-24T04:40:21.6555410Z 
2025-07-24T04:40:21.6556780Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_4949e17fc036263d_.log
2025-07-24T04:40:21.6558680Z Running 9 items in this shard: test/dynamo/test_pgo.py::PgoTest::test_basic, test/dynamo/test_pgo.py::PgoTest::test_different_file_paths_local_pgo, test/dynamo/test_pgo.py::PgoTest::test_distinct_compile_id, test/dynamo/test_pgo.py::PgoTest::test_njt, test/dynamo/test_pgo.py::PgoTest::test_pgo_dynamic_false, test/dynamo/test_pgo.py::PgoTest::test_pgo_dynamic_params, test/dynamo/test_pgo.py::PgoTest::test_remote_basic, test/dynamo/test_pgo.py::PgoTest::test_whitelist_ints_floats, test/dynamo/test_pgo.py::PgoTest::test_whitelist_suggestion
2025-07-24T04:40:21.6560230Z 
2025-07-24T04:40:23.7977950Z Running export/test_upgrader 1/1 ... [2025-07-24 04:40:23.797629]
2025-07-24T04:40:23.7979150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:23.7981270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:23.797920]
2025-07-24T04:40:25.9450590Z 
2025-07-24T04:40:25.9452380Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_2896ace0b9e6c3ed_.log
2025-07-24T04:40:25.9457820Z Running 6 items in this shard: test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_complete, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_missing_field, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_from_v1_partial_chain, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_error_handling_invalid_type, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_transformation_from_v0, test/export/test_upgrader.py::TestUpgrader::test_nodes_without_metadata_handled_gracefully
2025-07-24T04:40:25.9461890Z 
2025-07-24T04:40:28.1043100Z Running dynamo/test_guard_serialization 1/1 ... [2025-07-24 04:40:28.104085]
2025-07-24T04:40:28.1043980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:28.1046770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:28.104378]
2025-07-24T04:40:33.5624810Z 
2025-07-24T04:40:33.5626310Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_caae190a5c95367e_.log
2025-07-24T04:40:33.5651610Z Running 37 items in this shard: test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_bool_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_builtin_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_closure_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_constant_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_default_device, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_deterministic_algorithms, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_contains, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_keys_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_version, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dispatch_key_set_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dual_level, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_duplicate_input, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_empty_nn_module_hooks_dict, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_equals_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_fsdp_training_state, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_function_locals, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_function_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_functorch_stack_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_grad_mode, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_grad_mode_loading, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_hasattr_serialization, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_id_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_id_match_with_config, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_mapping_keys_check, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_name_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_nn_module, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_none_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_not_present_in_generic_dict, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_range_iterator_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_sequence_length, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_shape_env, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tensor_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tensor_subclass_metadata_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_torch_function_state, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tuple_iterator_len, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_type_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_weakref_alive
2025-07-24T04:40:33.5675850Z 
2025-07-24T04:40:35.7002500Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-07-24 04:40:35.700057]
2025-07-24T04:40:35.7003380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:35.7006490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:35.700380]
2025-07-24T04:40:38.5896650Z 
2025-07-24T04:40:38.5897440Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_2f0b3b5ab8db05ed_.log
2025-07-24T04:40:38.5910690Z Running 36 items in this shard: test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_check_device, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_32_n_32_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_2000_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_1_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_2_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_16_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_32_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_2_k_64_n_16_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_realize_input
2025-07-24T04:40:38.5922950Z 
2025-07-24T04:40:40.6725470Z Running dynamo/test_graph_deduplication 1/1 ... [2025-07-24 04:40:40.672320]
2025-07-24T04:40:40.6726760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:40.6728970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:40.672621]
2025-07-24T04:40:44.3083020Z 
2025-07-24T04:40:44.3083800Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_06757b76a357fcc4_.log
2025-07-24T04:40:44.3088290Z Running 15 items in this shard: test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_autocast_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_arg_and_additional_deps, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_complex, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_no_cycle, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_simple, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_single_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_two_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_dependent_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_aliasing, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_mutation, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_multiple_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_mutation_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_output_nodes_last, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph2
2025-07-24T04:40:44.3092310Z 
2025-07-24T04:40:46.4299800Z Running inductor/test_benchmarking 1/1 ... [2025-07-24 04:40:46.429788]
2025-07-24T04:40:46.4300630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:46.4303490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:46.430094]
2025-07-24T04:40:49.5623040Z 
2025-07-24T04:40:49.5623720Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_d99cbc7f122dbf26_.log
2025-07-24T04:40:49.5629280Z Running 12 items in this shard: test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_cpu_smoke_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_cpu_smoke_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_gpu_smoke_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_gpu_smoke_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_many_devices_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_many_devices_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_no_devices_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_no_devices_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls0_device_cpu, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls0_device_mps, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls1_device_cpu, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls1_device_mps
2025-07-24T04:40:49.5632980Z 
2025-07-24T04:40:51.6762850Z Running dynamo/test_profiler 1/1 ... [2025-07-24 04:40:51.676133]
2025-07-24T04:40:51.6763170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:40:51.6765160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:40:51.676415]
2025-07-24T04:40:59.3274140Z 
2025-07-24T04:40:59.3276190Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_7fdae01922daf295_.log
2025-07-24T04:40:59.3284390Z Running 11 items in this shard: test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_backend_compile, test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_isolated, test/dynamo/test_profiler.py::DynamoProfilerTests::test_execution_trace_dynamic_shapes, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_list_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_runtime, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup_profiler_step, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_dynamo_compiled_region, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_enabled, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_record_function_ignore
2025-07-24T04:40:59.3291630Z 
2025-07-24T04:41:01.4502470Z Running functorch/test_eager_transforms 1/1 ... [2025-07-24 04:41:01.450002]
2025-07-24T04:41:01.4503310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:01.4505510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:01.450290]
2025-07-24T04:41:12.5976330Z 
2025-07-24T04:41:12.5977890Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_cefc2c0a2a1e6cae_.log
2025-07-24T04:41:12.6082560Z Running 355 items in this shard: test/functorch/test_eager_transforms.py::TestSliceArgnums::test_argnums_reorders, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_duplicate_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_negative_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_positive_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_tuple_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_invalid_argnum_type, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_not_enough_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_out_of_bounds_argnum_values, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_pytree_args, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_buffer_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_ensemble, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_grad, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_leaf, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_mismatch_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_advanced_indexing_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composed_with_autograd_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_two_ops_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_conj_bit_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_dtype_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_ignored_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_marked_as_dead_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_fn_with_kwargs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_with_buffers_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_base_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_invalid_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_is_cuda_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_manual_seed_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_negative_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_nesting_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_fn_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_only_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_value_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_numel_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_out_of_order_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_primitive_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_print_captured_tensor_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_shape_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_ctor_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_hessian_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_view_inplace_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_views_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_error_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_input_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_output_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_two_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_zero_grad_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_log_softmax_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_empty_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_zeros_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_simple_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_correctness_different_devices_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_default_arg_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacfwd_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_multi_input_multi_output_jacrev_cpu, test/functorch/test_eager_transforms.py::TestJacCPU::test_against_reference_simple_jacfwd_cpu, 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test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_sum_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fake_tensors_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_multi_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_reapply_views_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_transpose_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_grad_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_nonfunctional_output_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_opt_tensor_list_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist1_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist2_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_linear_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_inplace_slice_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_resize_program_inputs_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_simple_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_vmap_functionalize_jvp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_grad_fn_name_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_needs_input_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_autograd_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_set_materialize_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_has_vmap_staticmethod_and_has_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_single_input_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_incompatible_out_dims_error_msg_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_info_object_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_kwarg_only_tensors_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_no_vmap_staticmethod_and_no_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_none_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_should_have_two_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_skips_empty_layer_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_error_if_name_collision_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_nesting_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_overrides_saved_tensors_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_passthrough_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_debug_unwrap_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_reductify_leaf_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_compile_vmap_hessian_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_grad_deprecated_api_cpu
2025-07-24T04:41:12.6175000Z 
2025-07-24T04:41:14.7382050Z Running inductor/test_block_analysis 1/1 ... [2025-07-24 04:41:14.738000]
2025-07-24T04:41:14.7382880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:14.7384730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_block_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:14.738296]
2025-07-24T04:41:17.6738720Z 
2025-07-24T04:41:17.6752800Z inductor/test_block_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_block_analysis_1.1_a7b158ba9426cd3d_.log
2025-07-24T04:41:17.6766000Z Running 10 items in this shard: test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_3_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_4_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_affine_identity_stride_5_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_index_with_dynamic_shapes, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims0_strides0_symbol0_expr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims1_strides1_symbol1_expr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_mod_div_identity_dims2_strides2_symbol2_expr2, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol0_expr0_subexpr0, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol1_expr1_subexpr1, test/inductor/test_block_analysis.py::BlockAnalysisTest::test_subexpr_identity_symbol2_expr2_subexpr2
2025-07-24T04:41:17.6770280Z 
2025-07-24T04:41:19.7970760Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-07-24 04:41:19.796831]
2025-07-24T04:41:19.7971680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:19.7974330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:19.797127]
2025-07-24T04:41:26.7876530Z 
2025-07-24T04:41:26.7877310Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_1a7527ff5646f6ce_.log
2025-07-24T04:41:26.7879840Z Running 7 items in this shard: test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_eager, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_graph_breaks, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_side_effect, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_bw, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_fx_forward_contrived
2025-07-24T04:41:26.7881930Z 
2025-07-24T04:41:28.8447290Z Running inductor/test_memory 1/1 ... [2025-07-24 04:41:28.844445]
2025-07-24T04:41:28.8448080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:28.8450190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:28.844741]
2025-07-24T04:41:31.4159310Z 
2025-07-24T04:41:31.4161200Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_5fea43dd913156e3_.log
2025-07-24T04:41:31.4162390Z 
2025-07-24T04:41:33.4616380Z Running dynamo/test_base_hop 1/1 ... [2025-07-24 04:41:33.461488]
2025-07-24T04:41:33.4616700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:33.4619170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:33.461815]
2025-07-24T04:41:36.5796960Z 
2025-07-24T04:41:36.5798380Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_3365c5752f3419fa_.log
2025-07-24T04:41:36.5800770Z Running 11 items in this shard: test/dynamo/test_base_hop.py::BaseHOPTest::test_aliasing_mutation_error, test/dynamo/test_base_hop.py::BaseHOPTest::test_aot_eager, test/dynamo/test_base_hop.py::BaseHOPTest::test_auto_functionalize, test/dynamo/test_base_hop.py::BaseHOPTest::test_dynamo, test/dynamo/test_base_hop.py::BaseHOPTest::test_eager_call, test/dynamo/test_base_hop.py::BaseHOPTest::test_int_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_none_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out_with_mutation, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return_with_mutation
2025-07-24T04:41:36.5802970Z 
2025-07-24T04:41:36.9550460Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-07-24T04:41:36.9551050Z Uploading artifacts took 0.00 seconds
2025-07-24T04:41:38.6082900Z Running dynamo/test_sources 1/1 ... [2025-07-24 04:41:38.608078]
2025-07-24T04:41:38.6083680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:38.6085790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:38.608361]
2025-07-24T04:41:40.9769120Z 
2025-07-24T04:41:40.9769800Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_594f67f631d21003_.log
2025-07-24T04:41:40.9771120Z Running 3 items in this shard: test/dynamo/test_sources.py::SourceTests::test_is_local, test/dynamo/test_sources.py::SourceTests::test_property_closure, test/dynamo/test_sources.py::SourceTests::test_supported_nodes
2025-07-24T04:41:40.9771690Z 
2025-07-24T04:41:42.9719350Z Running dynamo/test_precompile_context 1/1 ... [2025-07-24 04:41:42.971731]
2025-07-24T04:41:42.9720210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:42.9722380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:42.972031]
2025-07-24T04:41:45.5880850Z 
2025-07-24T04:41:45.5881690Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_7ff4a2e68bbfcb4d_.log
2025-07-24T04:41:45.5882690Z Running 2 items in this shard: test/dynamo/test_precompile_context.py::PrecompileContextTests::test_basic, test/dynamo/test_precompile_context.py::PrecompileContextTests::test_serialize_by_key
2025-07-24T04:41:45.5883230Z 
2025-07-24T04:41:47.6338450Z Running dynamo/test_compiler_bisector 1/1 ... [2025-07-24 04:41:47.633624]
2025-07-24T04:41:47.6339300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:47.6341480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:47.633914]
2025-07-24T04:41:50.2789000Z 
2025-07-24T04:41:50.2790350Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_458ccfda3de3df86_.log
2025-07-24T04:41:50.2792390Z Running 7 items in this shard: test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_decomp, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_lowering, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_crossref, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_eager_backend, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_emulate_precision_casts, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_joint_graph, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng
2025-07-24T04:41:50.2794170Z 
2025-07-24T04:41:52.3180780Z Running dynamo/test_package 1/1 ... [2025-07-24 04:41:52.317903]
2025-07-24T04:41:52.3181530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:41:52.3184120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:41:52.318194]
2025-07-24T04:42:09.3014790Z 
2025-07-24T04:42:09.3017390Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_1e51bdf262f233ba_.log
2025-07-24T04:42:09.3028420Z Running 43 items in this shard: test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_autotune_cache_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_autotune_cache_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_xpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_xpu, test/dynamo/test_package.py::TestPackage::test_file_change, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_nn_module
2025-07-24T04:42:09.3038090Z 
2025-07-24T04:42:11.3271460Z Running inductor/test_alignment 1/1 ... [2025-07-24 04:42:11.326960]
2025-07-24T04:42:11.3272260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:42:11.3275030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_alignment.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:42:11.327248]
2025-07-24T04:42:21.8683080Z 
2025-07-24T04:42:21.8683790Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_79d8892601718136_.log
2025-07-24T04:42:21.8686870Z Running 12 items in this shard: test/inductor/test_alignment.py::CpuTests::test_Q4_K_dequantization_cpu, test/inductor/test_alignment.py::CpuTests::test_alignment_without_custom_op_cpu, test/inductor/test_alignment.py::CpuTests::test_incorrect_meta_for_custom_op_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_no_align_for_custom_op_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_no_align_for_custom_op_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_1024_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_1048576_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_128_cpu, test/inductor/test_alignment.py::CpuTests::test_unaligned_input_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_unaligned_input_cpu, test/inductor/test_alignment.py::CpuTests::test_view_dtype_slice_cpu
2025-07-24T04:42:21.8689170Z 
2025-07-24T04:42:23.9239870Z Running test_model_exports_to_core_aten 1/1 ... [2025-07-24 04:42:23.923694]
2025-07-24T04:42:23.9240720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:42:23.9242910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:42:23.923994]
2025-07-24T04:42:26.1870970Z 
2025-07-24T04:42:26.1871570Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_633e2fdc233fb424_.log
2025-07-24T04:42:26.1872370Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export
2025-07-24T04:42:26.1872700Z 
2025-07-24T04:42:28.2021490Z Running dynamo/test_modes 1/1 ... [2025-07-24 04:42:28.201934]
2025-07-24T04:42:28.2022290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:42:28.2024380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:42:28.202232]
2025-07-24T04:42:54.6945670Z 
2025-07-24T04:42:54.6946300Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_58153b67c947bc63_.log
2025-07-24T04:42:54.6959880Z Running 24 items in this shard: test/dynamo/test_modes.py::TorchDispatchModeTests::test_skip_torch_dispatch_modes, test/dynamo/test_modes.py::TorchFunctionModeTests::test_builtin_equivalent_funcs, test/dynamo/test_modes.py::TorchFunctionModeTests::test_error_empty_stack_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_expand, test/dynamo/test_modes.py::TorchFunctionModeTests::test_flex_attention, test/dynamo/test_modes.py::TorchFunctionModeTests::test_intermedate_torch_function_mode_construction_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_is_torch_function_all_disabled, test/dynamo/test_modes.py::TorchFunctionModeTests::test_len_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_nested_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_push_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_register_hook, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_clear_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_mutation_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_disable, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enabled_guard, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enter_exit, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_cpp, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_py, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_highest_priority, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_restore_on_exc
2025-07-24T04:42:54.6974030Z 
2025-07-24T04:42:56.7866550Z Running inductor/test_mps_basic 1/1 ... [2025-07-24 04:42:56.786439]
2025-07-24T04:42:56.7867360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:42:56.7878040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:42:56.786743]
2025-07-24T04:43:21.1473360Z 
2025-07-24T04:43:21.1474800Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_7e497e86a6c3c783_.log
2025-07-24T04:43:21.1494680Z Running 40 items in this shard: test/inductor/test_mps_basic.py::MPSBasicTests::test_acos, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_bfloat16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_bool, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_complex64, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_float16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_float32, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int32, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int64, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int8, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_uint8, test/inductor/test_mps_basic.py::MPSBasicTests::test_atanh, test/inductor/test_mps_basic.py::MPSBasicTests::test_broadcast, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_bfloat16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_bool, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_complex64, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_float16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_float32, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int32, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int64, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int8, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_uint8, test/inductor/test_mps_basic.py::MPSBasicTests::test_cholesky, test/inductor/test_mps_basic.py::MPSBasicTests::test_compile_numpy_scalar, test/inductor/test_mps_basic.py::MPSBasicTests::test_conv_transpose_channels_last, test/inductor/test_mps_basic.py::MPSBasicTests::test_floor, test/inductor/test_mps_basic.py::MPSBasicTests::test_inplace, test/inductor/test_mps_basic.py::MPSBasicTests::test_log, test/inductor/test_mps_basic.py::MPSBasicTests::test_rms_norm_nograd, test/inductor/test_mps_basic.py::MPSBasicTests::test_sign, test/inductor/test_mps_basic.py::MPSBasicTests::test_sliced_input, test/inductor/test_mps_basic.py::MPSBasicTests::test_where, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_add_mps, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_c10, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_dynamic_cat, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_fallback_mps, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_reuse_kernel, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_simple_dynamic, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_two_const
2025-07-24T04:43:21.1513380Z 
2025-07-24T04:43:23.3139080Z Running inductor/test_compile 1/1 ... [2025-07-24 04:43:23.313716]
2025-07-24T04:43:23.3139870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:23.3142060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:23.314009]
2025-07-24T04:43:32.4046840Z 
2025-07-24T04:43:32.4047620Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_a220cf86052ea9b4_.log
2025-07-24T04:43:32.4050250Z Running 8 items in this shard: test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_bare_module, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_export1, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_export2, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx_dict_input, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx_tensor_return, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_make_fx, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_op_with_multiple_outputs
2025-07-24T04:43:32.4052130Z 
2025-07-24T04:43:34.4304930Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-07-24 04:43:34.430292]
2025-07-24T04:43:34.4306340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:34.4309000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:34.430595]
2025-07-24T04:43:37.1009190Z 
2025-07-24T04:43:37.1011020Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_a5ff55bf16b0e927_.log
2025-07-24T04:43:37.1013450Z 
2025-07-24T04:43:39.2249880Z Running export/test_swap 1/1 ... [2025-07-24 04:43:39.224775]
2025-07-24T04:43:39.2251250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:39.2253310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_swap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:39.225081]
2025-07-24T04:43:44.3737240Z 
2025-07-24T04:43:44.3737990Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_6e12c0415b322cb0_.log
2025-07-24T04:43:44.3741880Z Running 18 items in this shard: test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_args, test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_nonstrict::test_custom_output, test/export/test_swap.py::TestSwap_nonstrict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_nonstrict::test_nested_leaf, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_with_unused_input, test/export/test_swap.py::TestSwap_strict::test_custom_input_args, test/export/test_swap.py::TestSwap_strict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_strict::test_custom_output, test/export/test_swap.py::TestSwap_strict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_strict::test_nested_leaf, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_with_unused_input
2025-07-24T04:43:44.3745410Z 
2025-07-24T04:43:46.4210670Z Running inductor/test_torchbind 1/1 ... [2025-07-24 04:43:46.420843]
2025-07-24T04:43:46.4211480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:46.4213650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:46.421141]
2025-07-24T04:43:49.1323010Z 
2025-07-24T04:43:49.1324310Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_be84be2a6ff6e7ec_.log
2025-07-24T04:43:49.1328150Z Running 16 items in this shard: test/inductor/test_torchbind.py::TestTorchbind::test_aoti_torchbind_name_collision, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aot_compile_constant_folding, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_aoti, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile_gpu_op_symint_graph_partition, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_compile_symint, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_config_not_generated, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_get_buf_bytes, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema_no_input, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_hop_schema_no_output, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_inductor, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_input_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_list_return_aot_compile, test/inductor/test_torchbind.py::TestTorchbind::test_torchbind_queue
2025-07-24T04:43:49.1331810Z 
2025-07-24T04:43:51.1656530Z Running dynamo/test_sets 1/1 ... [2025-07-24 04:43:51.165445]
2025-07-24T04:43:51.1657260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:51.1659540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:51.165741]
2025-07-24T04:43:56.4240740Z 
2025-07-24T04:43:56.4241370Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_480559c85d44ac6d_.log
2025-07-24T04:43:56.4261390Z Running 124 items in this shard: test/dynamo/test_sets.py::CustomSetTests::test_custom_add, test/dynamo/test_sets.py::CustomSetTests::test_custom_contains, test/dynamo/test_sets.py::MiscTests::test_isdisjoint_with_generator, test/dynamo/test_sets.py::TestSetGuards::test_in_guard, test/dynamo/test_sets.py::TestSetGuards::test_set_guard_on_keys_change, test/dynamo/test_sets.py::TestSetGuards::test_set_multiple_types, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_change, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_pop, test/dynamo/test_sets.py::TestSetGuards::test_set_with_function, test/dynamo/test_sets.py::TestSetGuards::test_set_with_tensors, test/dynamo/test_sets.py::FrozensetTests::test_binop_and, test/dynamo/test_sets.py::FrozensetTests::test_binop_or, test/dynamo/test_sets.py::FrozensetTests::test_binop_sub, test/dynamo/test_sets.py::FrozensetTests::test_binop_xor, test/dynamo/test_sets.py::FrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::FrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::FrozensetTests::test_contains, test/dynamo/test_sets.py::FrozensetTests::test_copy, test/dynamo/test_sets.py::FrozensetTests::test_difference, test/dynamo/test_sets.py::FrozensetTests::test_equality, test/dynamo/test_sets.py::FrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_intersection, test/dynamo/test_sets.py::FrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::FrozensetTests::test_issubset, test/dynamo/test_sets.py::FrozensetTests::test_issuperset, test/dynamo/test_sets.py::FrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::FrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_to_set, test/dynamo/test_sets.py::FrozensetTests::test_union, test/dynamo/test_sets.py::SetTests::test_add, test/dynamo/test_sets.py::SetTests::test_binop_and, test/dynamo/test_sets.py::SetTests::test_binop_or, test/dynamo/test_sets.py::SetTests::test_binop_sub, test/dynamo/test_sets.py::SetTests::test_binop_xor, test/dynamo/test_sets.py::SetTests::test_clear, test/dynamo/test_sets.py::SetTests::test_cmp_eq, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_less_than, test/dynamo/test_sets.py::SetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_ne, test/dynamo/test_sets.py::SetTests::test_constructor_iterable, test/dynamo/test_sets.py::SetTests::test_contains, test/dynamo/test_sets.py::SetTests::test_copy, test/dynamo/test_sets.py::SetTests::test_difference, test/dynamo/test_sets.py::SetTests::test_difference_update, test/dynamo/test_sets.py::SetTests::test_discard, test/dynamo/test_sets.py::SetTests::test_equality, test/dynamo/test_sets.py::SetTests::test_in_frozenset, test/dynamo/test_sets.py::SetTests::test_intersection, test/dynamo/test_sets.py::SetTests::test_intersection_update, test/dynamo/test_sets.py::SetTests::test_isdisjoint, test/dynamo/test_sets.py::SetTests::test_issubset, test/dynamo/test_sets.py::SetTests::test_issuperset, test/dynamo/test_sets.py::SetTests::test_pop, test/dynamo/test_sets.py::SetTests::test_remove, test/dynamo/test_sets.py::SetTests::test_symmetric_difference, test/dynamo/test_sets.py::SetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::SetTests::test_to_frozenset, test/dynamo/test_sets.py::SetTests::test_to_set, test/dynamo/test_sets.py::SetTests::test_union, test/dynamo/test_sets.py::SetTests::test_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_add, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedSetTests::test_clear, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedSetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedSetTests::test_contains, test/dynamo/test_sets.py::UserDefinedSetTests::test_copy, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_discard, test/dynamo/test_sets.py::UserDefinedSetTests::test_equality, test/dynamo/test_sets.py::UserDefinedSetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedSetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedSetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedSetTests::test_pop, test/dynamo/test_sets.py::UserDefinedSetTests::test_remove, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedSetTests::test_union, test/dynamo/test_sets.py::UserDefinedSetTests::test_update, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_contains, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_copy, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_equality, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_union
2025-07-24T04:43:56.4280600Z 
2025-07-24T04:43:58.4797560Z Running dynamo/test_deviceguard 1/1 ... [2025-07-24 04:43:58.479562]
2025-07-24T04:43:58.4798090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:43:58.4799520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:43:58.479838]
2025-07-24T04:44:00.7631930Z 
2025-07-24T04:44:00.7632530Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_f474ad60ac8504b5_.log
2025-07-24T04:44:00.7633880Z Running 4 items in this shard: test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard_no_index, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard_no_index
2025-07-24T04:44:00.7634770Z 
2025-07-24T04:44:02.7587730Z Running dynamo/test_debug_utils 1/1 ... [2025-07-24 04:44:02.758553]
2025-07-24T04:44:02.7588520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:02.7590660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:02.758868]
2025-07-24T04:44:05.4831880Z 
2025-07-24T04:44:05.4832880Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_235ecfd42c5d1964_.log
2025-07-24T04:44:05.4833830Z Running 2 items in this shard: test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_cast_model_to_fp64_dtype_args_cpu, test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_generate_env_vars_string_cpu
2025-07-24T04:44:05.4834400Z 
2025-07-24T04:44:07.5529040Z Running dynamo/test_recompile_ux 1/1 ... [2025-07-24 04:44:07.552720]
2025-07-24T04:44:07.5529390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:07.5531140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:07.553010]
2025-07-24T04:44:10.4087280Z 
2025-07-24T04:44:10.4088740Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_cb27c0d77bace245_.log
2025-07-24T04:44:10.4095520Z Running 10 items in this shard: test/dynamo/test_recompile_ux.py::RecompileUxTests::test_drop_cache_on_skip, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_dynamic_input, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_fail_on_recompile_limit_hit, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_loop_torture, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_mismatched_type, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails_report_all, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_nvfuser_guards, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_recompile_child_run_only, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_verbose_tensor_check
2025-07-24T04:44:10.4098720Z 
2025-07-24T04:44:12.4649180Z Running inductor/test_auto_functionalize 1/1 ... [2025-07-24 04:44:12.464702]
2025-07-24T04:44:12.4650050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:12.4652290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:12.465009]
2025-07-24T04:44:29.6440420Z 
2025-07-24T04:44:29.6441320Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_86e12ccef8db3b9b_.log
2025-07-24T04:44:29.6452220Z Running 39 items in this shard: test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_input_to_custom_op, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_output, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_default, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_none_return, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra1, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra3, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra4, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra5, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_on_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_self_as_mutate_arg, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_tensorlist, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_can_auto_functionalize, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_graph_input_is_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode1_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode4_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_recompile, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_scheduling_with_multiple_mutates, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_try_use_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_unbacked_auto_functionalize_op
2025-07-24T04:44:29.6462230Z 
2025-07-24T04:44:31.6989950Z Running export/test_torchbind 1/1 ... [2025-07-24 04:44:31.698839]
2025-07-24T04:44:31.6990270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:31.6995450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:31.699151]
2025-07-24T04:44:33.9706160Z 
2025-07-24T04:44:33.9706740Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_7225c4040c073527_.log
2025-07-24T04:44:33.9725430Z Running 70 items in this shard: test/export/test_torchbind.py::TestExportTorchbind::test_aot_export_tensor_queue_operators, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_deepcopy, test/export/test_torchbind.py::TestExportTorchbind::test_export_inplace_custom_op, test/export/test_torchbind.py::TestExportTorchbind::test_identifying_torchbind_ops, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_schema_checking_script_object, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_py_impl, test/export/test_torchbind.py::TestExportTorchbind::test_method_schema, test/export/test_torchbind.py::TestExportTorchbind::test_non_strict_export_methods, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_safe_to_trace_with_real, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_fallthrough_keys_respects_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_register_fallthrough, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_True, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_graph_breaks, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_automatic_dynamic_shape, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_eager, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_from_real_not_classmethod, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_from_real, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_torch_bind_class, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_valid
2025-07-24T04:44:33.9743560Z 
2025-07-24T04:44:36.0240420Z Running inductor/test_unbacked_symints 1/1 ... [2025-07-24 04:44:36.023717]
2025-07-24T04:44:36.0242020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:36.0245650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_unbacked_symints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:36.024456]
2025-07-24T04:44:53.1199990Z 
2025-07-24T04:44:53.1201650Z inductor/test_unbacked_symints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_unbacked_symints_1.1_8082eaea3f136532_.log
2025-07-24T04:44:53.1208900Z Running 26 items in this shard: test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_autotuning_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_broadcast_tensors_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_einsum_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_equivalent_backed_unbacked_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_expand_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_expand_ok_with_runtime_assert_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_issue_143498_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_addmm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_addmm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_bmm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_bmm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_mm_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_mm_and_friends_mm_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_nonzero_in_inference_mode_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_sdpfa_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_split_with_sizes_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_triton_kernel_grid_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_linear_layer_norm_input_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_masked_scatter_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_range_tree_divisor_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_repeat_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic2_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic_False_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_unbacked_slice_on_subclass_dynamic_True_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_vertical_pointwise_reduction_fusion_cpu, test/inductor/test_unbacked_symints.py::TestUnbackedSymintsCPU::test_view_of_slice_cpu
2025-07-24T04:44:53.1215570Z 
2025-07-24T04:44:55.2024570Z Running dynamo/test_flat_apply 1/1 ... [2025-07-24 04:44:55.202246]
2025-07-24T04:44:55.2025350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:55.2027470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:55.202540]
2025-07-24T04:44:57.7940860Z 
2025-07-24T04:44:57.7941670Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_ea0b96120c7b0711_.log
2025-07-24T04:44:57.7943020Z Running 4 items in this shard: test/dynamo/test_flat_apply.py::FlatApplyTests::test_non_tensor_output, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_captured_tensor_post_aot_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_dynamo_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_simple
2025-07-24T04:44:57.7944170Z 
2025-07-24T04:44:59.8443560Z Running export/test_unflatten 1/1 ... [2025-07-24 04:44:59.844121]
2025-07-24T04:44:59.8444330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:44:59.8447010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:44:59.844414]
2025-07-24T04:45:07.9569550Z 
2025-07-24T04:45:07.9570100Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_8a078110891aa10f_.log
2025-07-24T04:45:07.9576050Z Running 27 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_simple_alias, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_eager, test/export/test_unflatten.py::TestUnflatten::test_unflatten_empty_branch, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_none, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_requires_grad_param, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val
2025-07-24T04:45:07.9581460Z 
2025-07-24T04:45:09.9972980Z Running export/test_schema 1/1 ... [2025-07-24 04:45:09.997099]
2025-07-24T04:45:09.9973720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:09.9975880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:09.997381]
2025-07-24T04:45:12.5495600Z 
2025-07-24T04:45:12.5497290Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_7588e1413b8fb710_.log
2025-07-24T04:45:12.5501150Z Running 5 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_comparison, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged
2025-07-24T04:45:12.5502340Z 
2025-07-24T04:45:14.5983300Z Running dynamo/test_python_dispatcher 1/1 ... [2025-07-24 04:45:14.598136]
2025-07-24T04:45:14.5984270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:14.5992960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:14.598676]
2025-07-24T04:45:17.4082840Z 
2025-07-24T04:45:17.4084430Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_a2ed17b15c2c238c_.log
2025-07-24T04:45:17.4086450Z Running 6 items in this shard: test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key1, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key2, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key3, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key4, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key_set_guard, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_functorch_interpreter
2025-07-24T04:45:17.4087920Z 
2025-07-24T04:45:19.5754120Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-07-24 04:45:19.575187]
2025-07-24T04:45:19.5755000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:19.5757230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:19.575495]
2025-07-24T04:45:22.7055770Z 
2025-07-24T04:45:22.7057060Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_a44164640cc68e94_.log
2025-07-24T04:45:22.7058920Z Running 5 items in this shard: test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_move_view_after_cat_aten, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_select_cat_post_grad, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_split_cat_post_grad, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_split_cat_post_grad_singular, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAtenNormalizationPasses::test_split_aten_normalization
2025-07-24T04:45:22.7060300Z 
2025-07-24T04:45:24.7477850Z Running dynamo/test_error_messages 1/1 ... [2025-07-24 04:45:24.747583]
2025-07-24T04:45:24.7478240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:24.7481100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:24.747885]
2025-07-24T04:45:39.0022940Z 
2025-07-24T04:45:39.0024490Z inductor/test_torchinductor_opinfo 12/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.14_d8c4002ff2e3f9d6_.log
2025-07-24T04:45:39.0096890Z Running 244 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__native_batch_norm_legit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cauchy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_tensor_overload_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_tensor_overload_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_one_hot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_negative_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_in_place_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_general_hamming_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_hamming_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_multiple_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_multiple_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_unbiased_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_uint32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsafe_chunk_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16
2025-07-24T04:45:39.0167240Z 
2025-07-24T04:45:41.0753980Z Running dynamo/test_callback 1/1 ... [2025-07-24 04:45:41.075199]
2025-07-24T04:45:41.0754750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:41.0756900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:41.075486]
2025-07-24T04:45:43.9331950Z 
2025-07-24T04:45:43.9333320Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_b1db81426707d9ad_.log
2025-07-24T04:45:43.9337310Z Running 4 items in this shard: test/dynamo/test_callback.py::CallbackTests::test_callbacks_with_duplicate_prevention, test/dynamo/test_callback.py::CallbackTests::test_counter, test/dynamo/test_callback.py::CallbackTests::test_counter_assertion, test/dynamo/test_callback.py::CallbackTests::test_triggers
2025-07-24T04:45:43.9339540Z 
2025-07-24T04:45:44.5076730Z 
2025-07-24T04:45:44.5082730Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_d411aec06c59ece3_.log
2025-07-24T04:45:44.5112940Z Running 41 items in this shard: test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_assert_failure_in_generic_ctx_mgr, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_backend_fake_tensor_exc, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_class_property, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_cpp_extension_recommends_custom_ops, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_branching_fullgraph, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_branching_gb, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator2, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dict_items_input, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_disable_message, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamic_shape_operator, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamic_shape_operator_no_meta_kernel, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamo_graph_break_fn, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamo_graph_break_fn_with_msg, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_faketensor_nyi, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_generic_ctx_mgr_graph_break, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_in_buggy_resume_prologue, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_traceback_above_dynamo_shows_user_code, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_traceback_collapsed_resume_frames, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_internal_compiler_stacktrace_verbose, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_load_build_class, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_lru_cache_warning_logs_nested_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_lru_cache_warning_logs_user_stack_trace, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_nested_compile_user_frames, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_no_internal_compiler_stacktrace, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_observed_exception, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_optree_graph_break_message, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_reconstruction_failure, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_reconstruction_failure_gb, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_dynamo_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_inline, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_slice_with_tensor, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_sort_with_nonconstant_keys, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_super_call_function, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_super_call_method, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_uninitialized_module, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_builtin, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_bytecode, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_context, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_warnings
2025-07-24T04:45:44.5123020Z 
2025-07-24T04:45:46.3047390Z Running dynamo/test_bytecode_utils 1/1 ... [2025-07-24 04:45:46.304526]
2025-07-24T04:45:46.3048190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:46.3050520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:46.304850]
2025-07-24T04:45:46.8913920Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-07-24 04:45:46.891177]
2025-07-24T04:45:46.8914760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:46.8916280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:46.891511]
2025-07-24T04:45:51.3430820Z 
2025-07-24T04:45:51.3431590Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6aad996959172c99_.log
2025-07-24T04:45:51.3436460Z Running 20 items in this shard: test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_analysis_jump_backward_no_interrupt, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noprefix, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn1, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn_const, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_compute_exception_table_nested, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_e2e, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_e2e_2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_encode_varint, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_entry_propagation, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_parsing, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_if_tensor_is_none, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_310_writer, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_311_writer1, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_311_writer2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_lnotab_writer, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_py311_jump_offset, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_remove_dead_code_with_exn_table_entries, test/dynamo/test_bytecode_utils.py::BytecodeHookTests::test_bytecode_hook
2025-07-24T04:45:51.3440830Z 
2025-07-24T04:45:52.8294090Z 
2025-07-24T04:45:52.8295340Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_e37a47e1e8778514_.log
2025-07-24T04:45:52.8299240Z Running 12 items in this shard: test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_with_graph_breaks, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_with_inline_reconstruct, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_without_graph_breaks, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_const_property_assigned_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_const_property_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_guards_correctly_property_assigned_on_tensor_type_change, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_guards_correctly_property_assigned_on_tensor_type_change_inductor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_input_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_scoped_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_user_defined_class_input_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_tensor_property_assigned_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_tensor_property_on_tensor
2025-07-24T04:45:52.8304250Z 
2025-07-24T04:45:53.5107920Z Running dynamo/test_trace_rules 1/1 ... [2025-07-24 04:45:53.510617]
2025-07-24T04:45:53.5163180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:53.5265470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:53.511285]
2025-07-24T04:45:55.0158840Z Running export/test_hop 1/1 ... [2025-07-24 04:45:55.015715]
2025-07-24T04:45:55.0159390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:55.0160900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:55.015997]
2025-07-24T04:45:56.4452800Z 
2025-07-24T04:45:56.4453520Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_fc1c996ed609c4c8_.log
2025-07-24T04:45:56.4455540Z Running 7 items in this shard: test/dynamo/test_trace_rules.py::TraceRuleTests::test_almost_impossible_missing_name, test/dynamo/test_trace_rules.py::TraceRuleTests::test_force_inline_custom_function, test/dynamo/test_trace_rules.py::TraceRuleTests::test_force_inline_torch_function, test/dynamo/test_trace_rules.py::TraceRuleTests::test_no_special_handlers_for_torch_non_c_bindings, test/dynamo/test_trace_rules.py::TraceRuleTests::test_skipfiles_inlinelist, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TestModuleSurviveSkipFiles::test_module_survive_skip_files
2025-07-24T04:45:56.4457130Z 
2025-07-24T04:45:58.4882840Z Running dynamo/test_exceptions 1/1 ... [2025-07-24 04:45:58.488063]
2025-07-24T04:45:58.4883640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:45:58.4886890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:45:58.488408]
2025-07-24T04:46:03.7104370Z 
2025-07-24T04:46:03.7104940Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_20731b8c4b1a5d94_.log
2025-07-24T04:46:03.7114020Z Running 36 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32
2025-07-24T04:46:03.7122480Z 
2025-07-24T04:46:03.7707720Z 
2025-07-24T04:46:03.7708910Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_68d3d5ecbc8d7030_.log
2025-07-24T04:46:03.7719860Z Running 47 items in this shard: test/dynamo/test_exceptions.py::ExceptionTests::test_atrribute_error, test/dynamo/test_exceptions.py::ExceptionTests::test_attribute_error_from_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_autocast_with_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_block_stack_cleanup, test/dynamo/test_exceptions.py::ExceptionTests::test_custom_getattr_on_module_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_dict_pop, test/dynamo/test_exceptions.py::ExceptionTests::test_dynamo_undo_kw_names, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_after_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_inside_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception3, test/dynamo/test_exceptions.py::ExceptionTests::test_exception4, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_else, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_raised_from_child, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_handle_all_exceptions, test/dynamo/test_exceptions.py::ExceptionTests::test_isinstance_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_key_error, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_module_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_propagate_exception_inside_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_GeneratorExit, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception_with_args, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_finally_simple, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None_2, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_other, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_match, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_set___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct_exception_2, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise_first_exc, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___TypeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_RuntimeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg_error, test/dynamo/test_exceptions.py::ExceptionTests::test_speculation_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_stop_iteration, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_variable, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_with_args
2025-07-24T04:46:03.7729230Z 
2025-07-24T04:46:05.8961490Z Running export/test_experimental 1/1 ... [2025-07-24 04:46:05.895931]
2025-07-24T04:46:05.8962310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:05.8964970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:05.896196]
2025-07-24T04:46:05.9344290Z Running dynamo/test_torchrec 1/1 ... [2025-07-24 04:46:05.934247]
2025-07-24T04:46:05.9344590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:05.9346470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:05.934537]
2025-07-24T04:46:08.1630240Z 
2025-07-24T04:46:08.1631530Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_e15ef77ad363aed1_.log
2025-07-24T04:46:08.1632100Z Running 0 items in this shard:
2025-07-24T04:46:08.1632230Z 
2025-07-24T04:46:10.0455140Z 
2025-07-24T04:46:10.0455840Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_c437383ff7305e60_.log
2025-07-24T04:46:10.0457950Z Running 8 items in this shard: test/export/test_experimental.py::TestExperiment::test_joint_basic, test/export/test_experimental.py::TestExperiment::test_joint_buffer_input_mutations, test/export/test_experimental.py::TestExperiment::test_joint_cifar10_backwards, test/export/test_experimental.py::TestExperiment::test_joint_dynamic, test/export/test_experimental.py::TestExperiment::test_joint_loss_index, test/export/test_experimental.py::TestExperiment::test_sticky_export, test/export/test_experimental.py::TestExperiment::test_sticky_export_dynamic, test/export/test_experimental.py::TestExperiment::test_sticky_export_nested_inp
2025-07-24T04:46:10.0459850Z 
2025-07-24T04:46:10.2773560Z Running dynamo/test_einops 1/1 ... [2025-07-24 04:46:10.277154]
2025-07-24T04:46:10.2774360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:10.2776900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:10.277460]
2025-07-24T04:46:12.2323550Z Running export/test_converter 1/1 ... [2025-07-24 04:46:12.232142]
2025-07-24T04:46:12.2324840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:12.2326960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_converter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:12.232450]
2025-07-24T04:46:12.6477920Z 
2025-07-24T04:46:12.6579290Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_974041778a6d50d5_.log
2025-07-24T04:46:12.6681120Z Running 3 items in this shard: test/dynamo/test_einops.py::TestEinops::test_functions_version_none, test/dynamo/test_einops.py::TestEinops::test_layers_version_none, test/dynamo/test_einops.py::TestEinops::test_no_recompile_on_lazy_state_version_none
2025-07-24T04:46:12.6759990Z 
2025-07-24T04:46:14.6516840Z 
2025-07-24T04:46:14.6517850Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_99325dbb51ce18ce_.log
2025-07-24T04:46:14.6530230Z Running 48 items in this shard: test/export/test_converter.py::TestConverter::test_aten___getitem___dict, test/export/test_converter.py::TestConverter::test_aten___getitem___list, test/export/test_converter.py::TestConverter::test_aten___is__, test/export/test_converter.py::TestConverter::test_aten___isnot__, test/export/test_converter.py::TestConverter::test_aten___not__, test/export/test_converter.py::TestConverter::test_aten_add_t, test/export/test_converter.py::TestConverter::test_aten_append_t, test/export/test_converter.py::TestConverter::test_aten_dim, test/export/test_converter.py::TestConverter::test_aten_floordiv, test/export/test_converter.py::TestConverter::test_aten_len, test/export/test_converter.py::TestConverter::test_aten_tensor_dtype_int, test/export/test_converter.py::TestConverter::test_aten_tensor_dynamic, test/export/test_converter.py::TestConverter::test_aten_tensor_prim_dtype, test/export/test_converter.py::TestConverter::test_aten_to_dtype_with_mutating_storage, test/export/test_converter.py::TestConverter::test_context_manager, test/export/test_converter.py::TestConverter::test_convert_func_without_param, test/export/test_converter.py::TestConverter::test_convert_if_basic, test/export/test_converter.py::TestConverter::test_convert_if_duplicate_attr_names, test/export/test_converter.py::TestConverter::test_convert_if_multiple_out, test/export/test_converter.py::TestConverter::test_convert_if_tuple_out, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_param, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_param, test/export/test_converter.py::TestConverter::test_convert_retrace_nested_scripted_modules, test/export/test_converter.py::TestConverter::test_convert_script_object, test/export/test_converter.py::TestConverter::test_get_tensor_constants, test/export/test_converter.py::TestConverter::test_hidden_input_name, test/export/test_converter.py::TestConverter::test_implicit_constant_to_tensor_handling, test/export/test_converter.py::TestConverter::test_prim_SetAttr, test/export/test_converter.py::TestConverter::test_prim_device, test/export/test_converter.py::TestConverter::test_prim_device_cuda, test/export/test_converter.py::TestConverter::test_prim_dtype, test/export/test_converter.py::TestConverter::test_prim_max, test/export/test_converter.py::TestConverter::test_prim_min, test/export/test_converter.py::TestConverter::test_prim_tolist, test/export/test_converter.py::TestConverter::test_profiler__record_function, test/export/test_converter.py::TestConverter::test_raise_exception, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext_and_constant, test/export/test_converter.py::TestConverter::test_ts2ep_converter_basic, test/export/test_converter.py::TestConverter::test_ts2ep_converter_container_output, test/export/test_converter.py::TestConverter::test_ts2ep_converter_contains, test/export/test_converter.py::TestConverter::test_ts2ep_converter_custom_op, test/export/test_converter.py::TestConverter::test_ts2ep_converter_unpack, test/export/test_converter.py::TestConverter::test_ts2ep_multi_outputs_on_call_ops, test/export/test_converter.py::TestConverter::test_ts2ep_with_loop
2025-07-24T04:46:14.6539580Z 
2025-07-24T04:46:14.7591620Z Running export/test_lift_unlift 1/1 ... [2025-07-24 04:46:14.758903]
2025-07-24T04:46:14.7592410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:14.7593910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:14.759229]
2025-07-24T04:46:16.8703770Z Running dynamo/test_reorder_logs 1/1 ... [2025-07-24 04:46:16.870172]
2025-07-24T04:46:16.8704560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:16.8707090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:16.870481]
2025-07-24T04:46:16.9639160Z 
2025-07-24T04:46:16.9640400Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_19babc2597e76d28_.log
2025-07-24T04:46:16.9641820Z Running 5 items in this shard: test/export/test_lift_unlift.py::TestLift::test_duplicate_constant_access, test/export/test_lift_unlift.py::TestLift::test_lift_basic, test/export/test_lift_unlift.py::TestLift::test_lift_nested, test/export/test_lift_unlift.py::TestLift::test_unlift_nonpersistent_buffer, test/export/test_lift_unlift.py::ConstantAttrMapTest::test_dict_api
2025-07-24T04:46:16.9642770Z 
2025-07-24T04:46:19.1084560Z Running test_custom_ops 1/1 ... [2025-07-24 04:46:19.108258]
2025-07-24T04:46:19.1085300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:19.1087390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_custom_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:19.108548]
2025-07-24T04:46:19.9594110Z 
2025-07-24T04:46:19.9595500Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_3828b590e0dec5bf_.log
2025-07-24T04:46:19.9607530Z Running 14 items in this shard: test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method0_fn0_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method1_fn1_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method2_fn2_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method3_fn3_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method4_fn4_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method5_fn5_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method6_fn6_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method7_fn7_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_constant_mutation, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_dont_reorder_print, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_custom_log_fn, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_print, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_print_graph_break, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_warnings
2025-07-24T04:46:19.9617920Z 
2025-07-24T04:46:22.1118310Z Running test_mkldnn_verbose 1/1 ... [2025-07-24 04:46:22.111641]
2025-07-24T04:46:22.1119220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:22.1121310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:22.111941]
2025-07-24T04:46:26.2252050Z 
2025-07-24T04:46:26.2252640Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_ccf2783967d869f3_.log
2025-07-24T04:46:26.2253480Z Running 2 items in this shard: test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_off, test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_on
2025-07-24T04:46:26.2253920Z 
2025-07-24T04:46:27.3405470Z 
2025-07-24T04:46:27.3406870Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_53ddea9ee7e13c93_.log
2025-07-24T04:46:27.3785870Z Running 831 items in this shard: test/inductor/test_compile_subprocess.py::TestSubprocess::test_async, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::CpuTests::test_AllenaiLongformerBase_repro_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test__dyn_quant_matmul_4bit_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test__dyn_quant_pack_4bit_weight_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test__unsafe_masked_index_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test__unsafe_masked_index_put_accumulate_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_abs_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool1d_argmax_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool2d1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool2d2_cpu, 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test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d6_dilation_1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d6_dilation_2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d7_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d8_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward6_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_max_pool2d_with_indices_backward_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mean_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_min_max_reduction_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_min_max_reduction_nan_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_misaligned_address_issue1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mix_device_index_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mixed_mm2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mixed_mm3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mixed_mm_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mm_mixed_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mm_views_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_move_arange_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mul_index_expr_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mul_softmax_symfloat_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multi_device_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multi_gpu_device_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multi_gpu_recompile_on_index_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multi_threading_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multilayer_any_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multilayer_prime_size_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multilayer_sum_low_prec_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multilayer_var_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_multilayer_var_lowp_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mutable_custom_op_fixed_layout2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mutable_custom_op_fixed_layout_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_mutations_loop_fusion_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_nan_to_num_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_narrow_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_needs_contiguous_strides_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_neg_index_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_neg_max_uint8_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_new_empty_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_new_empty_strided_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_new_ones_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_nll_loss_backward_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_nll_loss_forward_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_no_mega_fusion_during_lowering_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_no_op_reduction_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_no_specization_over_symbolic_value_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_nonzero_unbacked_refinement_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_norm_constant_overflow_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_one_hot_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_output_strides_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pad_cast_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pad_single_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pad_view_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pattern_matcher_multi_user_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_permute1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_permute2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_philox_rand_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pixel_shuffle_channels_last_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_airy_ai_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_bessel_j0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_bessel_j1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_bessel_y0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_bessel_y1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_chebyshev_polynomial_t_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_chebyshev_polynomial_u_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_chebyshev_polynomial_v_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_chebyshev_polynomial_w_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_digamma_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_entr_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_erf_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_erfc_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_erfcx_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_erfinv_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_exp2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_expit_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_expm1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_gammainc_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_gammaincc_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_gammaln_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_hermite_polynomial_h_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_hermite_polynomial_he_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_i0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_i0e_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_i1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_i1e_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_laguerre_polynomial_l_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_legendre_polynomial_p_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_log1p_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_log_ndtr_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_logit_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_modified_bessel_i0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_modified_bessel_i1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_modified_bessel_k0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_modified_bessel_k1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_multigammaln_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_ndtr_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_ndtri_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_polygamma_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_psi_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_round_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_scaled_modified_bessel_k0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_scaled_modified_bessel_k1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_t_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_u_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_v_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_shifted_chebyshev_polynomial_w_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_sinc_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_spherical_bessel_j0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_xlog1py_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_xlogy_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pointwise_zeta_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_polar_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow_by_natural_log2_dynamic_shapes_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow_int_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_pow_symfloat_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_prepare_softmax_with_fast_math_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_prod_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_profiler_mark_wrapper_call_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_progressive, test/inductor/test_compile_subprocess.py::CpuTests::test_rand_like_deterministic_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randint_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randint_distribution_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randint_int64_mod_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randint_kernel_count_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randn_generator_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randn_like_empty_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_randn_with_dtype_and_device_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reduction_config_limit_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reflection_pad2d_backward_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reflection_pad2d_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reinterpret_dtypeview_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_relu_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remainder_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_no_ops_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_clone_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_copy_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_default_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_remove_noop_view_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_repeat_as_strided_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_repeat_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_repeat_interleave_2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_repeat_interleave_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_replication_pad_errors_with_bool_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_require_stride_expanded_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_resize_as_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_resize_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_reuse_buffers_with_aliasing_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_roi_align_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_roll_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_round_correctness_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_round_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_rsqrt_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_rsqrt_dynamic_shapes_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scalar_cpu_tensor_arg_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scalar_input_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scalar_output_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scaled_dot_product_attention_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scaled_dot_product_efficient_attention_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter6_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_add1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_add2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_add3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_bf16_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_reduce1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_reduce2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scatter_reduce3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_scheduler_vertical_fusion1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_False_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_True_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_unaligned_mask_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sdpa_unaligned_mask_freezing_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_searchsorted_broadcast_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_searchsorted_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_select_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_setitem_with_int_parameter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sgn_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sgn_extremal_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_shape_padding_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_shape_prop_torch_ones_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_should_pad_bench_for_bmm_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sigmoid_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sign_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_signbit_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_silu_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_simplify_loops_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sin_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_single_elem_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_single_elem_indirect_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_size_asserts_for_multi_output_fallback_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sizehint_issue1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_mutation1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_mutation2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_mutation3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_scatter_reinplace_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_slice_view_with_graph_break_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_softmax_backward_data_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_softmax_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_softmax_one_kernel_loop_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_softmax_one_kernel_persist_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sort_bool_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sort_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sort_stable_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sort_transpose_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_special_polygamma_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cumprod_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cumprod_low_prec_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cumsum_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cumsum_index_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_cumsum_low_prec_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_failed_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_reduction_dynamic_shape_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_reduction_with_int64_size_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_with_integer_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_with_list_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_with_sizes_with_unbacked_symints_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_split_with_unbacked_symints_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sqrt_dynamic_shapes_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_squeeze1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_squeeze2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_squeeze_varargs_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_stack_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_std_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_stride_preservation_with_stride_modifying_fx_pass_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_strided_inputs_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum_int_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_sum_keepdims_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tan_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tanh_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tensor1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tensor2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tensor3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tensor_index_put_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tensor_index_slice_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tmp_not_defined_issue2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_tmp_not_defined_issue3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_to_device_constant_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_to_device_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_to_dtype_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_to_memory_format_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_topk_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_transpose_add_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_transpose_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_transposed_propagates_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_triu_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_uint4x2_mixed_mm_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_uint_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unbacked_floordiv_simplify_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unbacked_floordiv_simplify_errors_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unbind_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unfold_zero_dimension_tensor_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unroll_small_reduction_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_bfloat16_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_float16_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_float32_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_float64_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_int16_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_int32_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_int64_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_int8_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unspec_inputs_uint8_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unsqueeze_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_unsqueeze_inplace_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_bicubic2d_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_bilinear2d_a_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_bilinear2d_b_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_cat_conv_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_nearest1d_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_nearest2d_backward_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_nearest2d_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_upsample_nearest3d_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_var_correction_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_var_mean_div_by_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_var_mean_tile_reduction_False_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_var_mean_tile_reduction_True_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_vdd_clamp_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_vectorized_ops_masked_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_vectorized_ops_masked_var_novec_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_vertical_fusion1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_view_as_complex_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_view_as_real_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_view_detach_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_view_on_aliased_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_view_uint8_through_differing_bitwidths_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views4_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views6_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_views7_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_weight_norm_bwd_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_where_broadcast_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_where_with_logical_op_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_xblock_divides_xnumel_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_zero_dim_reductions_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_zero_element_mutation_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_zeros_cpu
2025-07-24T04:46:27.3972950Z 
2025-07-24T04:46:28.5069420Z Running dynamo/test_hooks 1/1 ... [2025-07-24 04:46:28.506735]
2025-07-24T04:46:28.5070160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:28.5072770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:28.507034]
2025-07-24T04:46:29.5853270Z Running dynamo/test_generator 1/1 ... [2025-07-24 04:46:29.585134]
2025-07-24T04:46:29.5853590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:29.5855240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:29.585422]
2025-07-24T04:46:33.5407570Z 
2025-07-24T04:46:33.5408430Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_d5843886f8825af9_.log
2025-07-24T04:46:33.5424920Z Running 75 items in this shard: test/dynamo/test_generator.py::GeneratorTests::test_cleanup_throw, test/dynamo/test_generator.py::GeneratorTests::test_deque_extendleft, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container0, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container1, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container2, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container3, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_generator, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_sub_generator, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains__, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains___side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_2, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_3, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_4, test/dynamo/test_generator.py::GeneratorTests::test_generator_simple, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_and_reconstruct_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_before_calling_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_while_reconstructing, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_outside_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_3, test/dynamo/test_generator.py::GeneratorTests::test_islice_chain, test/dynamo/test_generator.py::GeneratorTests::test_iter, test/dynamo/test_generator.py::GeneratorTests::test_list_extend, test/dynamo/test_generator.py::GeneratorTests::test_list_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_tensor_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_local_var_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_return_advanced_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_exhaust_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_return_tuple_generator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_zip_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_subgenerator, test/dynamo/test_generator.py::TestGeneratorSend::test_send, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_exception, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_return, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_GeneratorExit, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc0, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc1, test/dynamo/test_generator.py::TestGeneratorClose::test_close_handling_finally, test/dynamo/test_generator.py::TestGeneratorClose::test_close_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_side_effects, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorThrow::test_exception_context_with_yield, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_no_yield_after_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_not_catch, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_raise_difference_exc, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_try_except_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_with_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_without_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_yield_finally
2025-07-24T04:46:33.5440580Z 
2025-07-24T04:46:35.6302410Z Running dynamo/test_guard_manager 1/1 ... [2025-07-24 04:46:35.630072]
2025-07-24T04:46:35.6302750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:35.6305070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:35.630398]
2025-07-24T04:46:36.3306930Z 
2025-07-24T04:46:36.3307740Z test_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_custom_ops_1.1_33c132aee6d84ebe_.log
2025-07-24T04:46:36.3360740Z Running 277 items in this shard: test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_CompositeExplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_abstract_impl_on_existing_op_with_meta, test/test_custom_ops.py::TestCustomOp::test_autogen_aten_ops_are_pt2_compliant, test/test_custom_ops.py::TestCustomOp::test_autograd_function_backed_op, test/test_custom_ops.py::TestCustomOp::test_autograd_notimplemented, test/test_custom_ops.py::TestCustomOp::test_autograd_notimplemented_gradmode, test/test_custom_ops.py::TestCustomOp::test_backward_dict_grad_for_nontensor, test/test_custom_ops.py::TestCustomOp::test_backward_dict_invalid_keys, test/test_custom_ops.py::TestCustomOp::test_backward_dict_requires_keys_for_input_optional_tensors, test/test_custom_ops.py::TestCustomOp::test_backward_dict_requires_keys_for_input_tensors, test/test_custom_ops.py::TestCustomOp::test_backward_grads_are_tensor_or_none, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_mutable, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_no_output, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_incorrect_schema_views, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_Autograd, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_AutogradCPU, test/test_custom_ops.py::TestCustomOp::test_backward_impl_on_existing_op_with_key_key_AutogradCUDA, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_non_tensor, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_numel, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_tensorlist, test/test_custom_ops.py::TestCustomOp::test_backward_output_differentiability_type, test/test_custom_ops.py::TestCustomOp::test_backward_partially_registered, test/test_custom_ops.py::TestCustomOp::test_backward_returns_dict, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads_none_or_Tensor, test/test_custom_ops.py::TestCustomOp::test_backward_tensorlist_input_requires_list_grads_with_same_numel, test/test_custom_ops.py::TestCustomOp::test_basic_make_fx, test/test_custom_ops.py::TestCustomOp::test_builtin_aten_ops_are_pt2_compliant, test/test_custom_ops.py::TestCustomOp::test_builtin_torchscript_ops, test/test_custom_ops.py::TestCustomOp::test_data_dependent_basic, test/test_custom_ops.py::TestCustomOp::test_data_dependent_compile, test/test_custom_ops.py::TestCustomOp::test_data_dependent_fake_tracing, test/test_custom_ops.py::TestCustomOp::test_data_dependent_nms_dynamic_compile, test/test_custom_ops.py::TestCustomOp::test_define_and_impl, test/test_custom_ops.py::TestCustomOp::test_define_bad_schema, test/test_custom_ops.py::TestCustomOp::test_define_validation, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_list, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_single, test/test_custom_ops.py::TestCustomOp::test_define_with_tags_tuple, test/test_custom_ops.py::TestCustomOp::test_defined_in_python, test/test_custom_ops.py::TestCustomOp::test_deploy_interaction, test/test_custom_ops.py::TestCustomOp::test_duplicate_impl, test/test_custom_ops.py::TestCustomOp::test_functionalize_error, test/test_custom_ops.py::TestCustomOp::test_impl_abstract_overload, test/test_custom_ops.py::TestCustomOp::test_impl_cpu, test/test_custom_ops.py::TestCustomOp::test_impl_device_cpu, test/test_custom_ops.py::TestCustomOp::test_impl_device_cuda, test/test_custom_ops.py::TestCustomOp::test_impl_device_function, test/test_custom_ops.py::TestCustomOp::test_impl_device_invalid, test/test_custom_ops.py::TestCustomOp::test_impl_function, test/test_custom_ops.py::TestCustomOp::test_impl_invalid_devices, test/test_custom_ops.py::TestCustomOp::test_impl_meta, test/test_custom_ops.py::TestCustomOp::test_impl_multiple, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CPU, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CUDA, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CompositeExplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_impl_on_existing_op_with_cpu_registration_key_CompositeImplicitAutograd, test/test_custom_ops.py::TestCustomOp::test_impl_separate, test/test_custom_ops.py::TestCustomOp::test_incorrect_schema_types, test/test_custom_ops.py::TestCustomOp::test_infer_schema_no_return, test/test_custom_ops.py::TestCustomOp::test_infer_schema_supported, test/test_custom_ops.py::TestCustomOp::test_infer_schema_unsupported, test/test_custom_ops.py::TestCustomOp::test_invalid_qualname, test/test_custom_ops.py::TestCustomOp::test_invalid_schemas, test/test_custom_ops.py::TestCustomOp::test_is_functional_schema, test/test_custom_ops.py::TestCustomOp::test_is_tensorlist_like_type, test/test_custom_ops.py::TestCustomOp::test_legacy_define, test/test_custom_ops.py::TestCustomOp::test_legacy_impl, test/test_custom_ops.py::TestCustomOp::test_lifetime, test/test_custom_ops.py::TestCustomOp::test_meta_for_data_dependent_shape_operation, test/test_custom_ops.py::TestCustomOp::test_name_must_match, test/test_custom_ops.py::TestCustomOp::test_new_data_dependent_symint, test/test_custom_ops.py::TestCustomOp::test_not_implemented_error, test/test_custom_ops.py::TestCustomOp::test_override_cea, test/test_custom_ops.py::TestCustomOp::test_override_fake, test/test_custom_ops.py::TestCustomOp::test_override_impl, test/test_custom_ops.py::TestCustomOp::test_override_meta, test/test_custom_ops.py::TestCustomOp::test_private_ctor, test/test_custom_ops.py::TestCustomOp::test_reserved_ns, test/test_custom_ops.py::TestCustomOp::test_resolve_packet, test/test_custom_ops.py::TestCustomOp::test_save_for_backward_inputs_are_namedtuple, test/test_custom_ops.py::TestCustomOp::test_schema_matches_signature, test/test_custom_ops.py::TestCustomOp::test_sequences, test/test_custom_ops.py::TestCustomOp::test_supported_param_types, test/test_custom_ops.py::TestCustomOp::test_supported_return_types_multi_return, test/test_custom_ops.py::TestCustomOp::test_supported_return_types_single_return, test/test_custom_ops.py::TestCustomOp::test_supported_schemas, test/test_custom_ops.py::TestCustomOp::test_symints, test/test_custom_ops.py::TestCustomOp::test_unsupported_param_types, test/test_custom_ops.py::TestCustomOp::test_unsupported_schemas, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_inplace, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_dynamic__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_inplace, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_aot_dispatch_static__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_inplace, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_autograd_registration__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_dont_generate, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_inplace, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_faketensor__test_nonzero, test/test_custom_ops.py::MiniOpTest::test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_inplace, test/test_custom_ops.py::MiniOpTest::test_mm, test/test_custom_ops.py::MiniOpTest::test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_nonzero, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_mm, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_nonzero, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_aten_sin_, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_pt2_compliant_tag_mini_op_test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_schema__test_delayed_error, test/test_custom_ops.py::MiniOpTest::test_schema__test_delayed_error_no_requires_grad, test/test_custom_ops.py::MiniOpTest::test_schema__test_incorrect_schema, test/test_custom_ops.py::MiniOpTest::test_schema__test_inplace, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_errors, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_fake, test/test_custom_ops.py::MiniOpTest::test_schema__test_mm_meta, test/test_custom_ops.py::MiniOpTest::test_schema__test_no_abstract, test/test_custom_ops.py::MiniOpTest::test_schema__test_nonzero, test/test_custom_ops.py::TestCustomOpAPI::test_any_output_is_alias_to_input_or_output, test/test_custom_ops.py::TestCustomOpAPI::test_any_requires_grad, test/test_custom_ops.py::TestCustomOpAPI::test_basic, test/test_custom_ops.py::TestCustomOpAPI::test_compile, test/test_custom_ops.py::TestCustomOpAPI::test_default_values, test/test_custom_ops.py::TestCustomOpAPI::test_disallows_output_aliasing, test/test_custom_ops.py::TestCustomOpAPI::test_factory_function, test/test_custom_ops.py::TestCustomOpAPI::test_fake, test/test_custom_ops.py::TestCustomOpAPI::test_kwarg_only_tensors, test/test_custom_ops.py::TestCustomOpAPI::test_layout_constraint_tags, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_list_input, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_multiple_times, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autocast_multiple_times_different_devices, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autograd, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_autograd_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_0, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_1, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_2, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_3, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_4, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_fake_source_idx_5, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_kernel, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_kernel_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_rule_mode, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_torch_dispatch_rule_subclass, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_library_decorator, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_op_decorator, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_register_multiple_times, test/test_custom_ops.py::TestCustomOpAPI::test_library_register_vmap_register_multiple_times_2, test/test_custom_ops.py::TestCustomOpAPI::test_library_schema_infer, test/test_custom_ops.py::TestCustomOpAPI::test_manual_schema, test/test_custom_ops.py::TestCustomOpAPI::test_manual_schema_error, test/test_custom_ops.py::TestCustomOpAPI::test_multi_types, test/test_custom_ops.py::TestCustomOpAPI::test_mutated, test/test_custom_ops.py::TestCustomOpAPI::test_mutated_error, test/test_custom_ops.py::TestCustomOpAPI::test_mutated_unknown, test/test_custom_ops.py::TestCustomOpAPI::test_no_grad_skips_autograd, test/test_custom_ops.py::TestCustomOpAPI::test_overloading, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_defaults, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_error_cases, test/test_custom_ops.py::TestCustomOpAPI::test_register_autograd_kwargonly_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_register_vmap_defaults, test/test_custom_ops.py::TestCustomOpAPI::test_register_vmap_kwargonly_low_level, test/test_custom_ops.py::TestCustomOpAPI::test_replacement, test/test_custom_ops.py::TestCustomOpAPI::test_set_kernel_enabled, test/test_custom_ops.py::TestCustomOpAPI::test_split_device, test/test_custom_ops.py::TestCustomOpAPI::test_supports_tensorlist, test/test_custom_ops.py::MiniOpTestOther::test_aot_dispatch_dynamic__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_aot_dispatch_static__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_autograd_registration__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_faketensor__test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_nonzero_again, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_mm, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_nonzero, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_aten_sin_, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_delayed_error, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_incorrect_schema, test/test_custom_ops.py::MiniOpTestOther::test_pt2_compliant_tag_mini_op_test_no_abstract, test/test_custom_ops.py::MiniOpTestOther::test_schema__test_nonzero_again, test/test_custom_ops.py::TestGenerateOpcheckTests::test_MiniOpTest, test/test_custom_ops.py::TestGenerateOpcheckTests::test_dont_generate_decorator, test/test_custom_ops.py::TestGenerateOpcheckTests::test_failures_dict_validation, test/test_custom_ops.py::TestGenerateOpcheckTests::test_generate_repro_no_save_data, test/test_custom_ops.py::TestGenerateOpcheckTests::test_generate_repro_save_data, test/test_custom_ops.py::TestGenerateOpcheckTests::test_is_inside_opcheck_mode, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_bad_op, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_customopdef, test/test_custom_ops.py::TestGenerateOpcheckTests::test_opcheck_does_not_require_extra_deps, test/test_custom_ops.py::TestTypeConversion::test_mixed_types, test/test_custom_ops.py::TestTypeConversion::test_optional, test/test_custom_ops.py::TestTypeConversion::test_simple_tuple, test/test_custom_ops.py::TestTypeConversion::test_supported_types, test/test_custom_ops.py::TestOpProfiles::test_duplicate_registration_custom_op, test/test_custom_ops.py::TestOpProfiles::test_duplicate_registration_impl, test/test_custom_ops.py::TestOpProfiles::test_fake_registration, test/test_custom_ops.py::TestOpProfiles::test_save_to_file, test/test_custom_ops.py::TestOpProfiles::test_version, test/test_custom_ops.py::TestOpProfiles::test_yaml, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_False_dynamic_False_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_False_dynamic_True_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_auto_dynamic_False_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_aot_autograd_check_degenerate_cases_check_gradients_auto_dynamic_True_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_assert_raises_regex_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registered_at_backend_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_autograd_kernel_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_compositeimplicitautograd_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_incorrect_composite_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_autograd_registration_check_incorrect_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_global_state_mutation_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_abstract_impl_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_schema_mutation_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_incorrect_schema_view_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_missing_abstract_impl_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_missing_functionalization_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_fails_basic_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyCatCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyCubeCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyMulCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyMulScalarCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyNMSCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyNonzeroCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySortCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySplitCopyCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyTakeCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_opinfo_NumpyViewCopyCustomOp_cpu_float32, test/test_custom_ops.py::TestCustomOpTestingCPU::test_opcheck_unbacked_stride_cpu, test/test_custom_ops.py::TestCustomOpTestingCPU::test_single_element_tuple_output_cpu
2025-07-24T04:46:36.3416780Z 
2025-07-24T04:46:38.3765460Z Running test_autograd 1/1 ... [2025-07-24 04:46:38.376345]
2025-07-24T04:46:38.3766200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:38.3768750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:38.376676]
2025-07-24T04:46:38.9275880Z 
2025-07-24T04:46:38.9280070Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_a2716b1cff290aeb_.log
2025-07-24T04:46:38.9299210Z Running 32 items in this shard: test/dynamo/test_guard_manager.py::GuardManagerTests::test_attr_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_call_function_no_args_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_clone, test/dynamo/test_guard_manager.py::GuardManagerTests::test_default_device_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_contains_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_getitem_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_version_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_diff_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dynamic_indices_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_equals_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_guard_e2e, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_reason, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_weakref, test/dynamo/test_guard_manager.py::GuardManagerTests::test_globals, test/dynamo/test_guard_manager.py::GuardManagerTests::test_guard_manager_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_id_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_item_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_lambda_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_length_check_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_hasattr_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_python_lambda_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_match_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tuple_iterator_getitem, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_weakref_alive_guard, test/dynamo/test_guard_manager.py::TypePropagationTests::test_basic_types
2025-07-24T04:46:38.9305970Z 
2025-07-24T04:46:40.9737090Z Running export/test_sparse 1/1 ... [2025-07-24 04:46:40.973513]
2025-07-24T04:46:40.9737850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:40.9740480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:40.973796]
2025-07-24T04:46:41.8863620Z 
2025-07-24T04:46:41.8864910Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_6b89ed8e72b2df4a_.log
2025-07-24T04:46:41.8878450Z Running 34 items in this shard: test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor_with_graph_break, test/dynamo/test_hooks.py::HooksTests::test_functools_arg_vary, test/dynamo/test_hooks.py::HooksTests::test_global_module_forward_pre_hook, test/dynamo/test_hooks.py::HooksTests::test_hook_with_closure, test/dynamo/test_hooks.py::HooksTests::test_hook_with_nested_closure, test/dynamo/test_hooks.py::HooksTests::test_input_hooks_same, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_aot_eager, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_aot, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_eager, test/dynamo/test_hooks.py::HooksTests::test_nnmodule_hook_guards, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_hook_identity_change, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_same_hook, test/dynamo/test_hooks.py::HooksTests::test_post_acc_grad_hook, test/dynamo/test_hooks.py::HooksTests::test_recompile, test/dynamo/test_hooks.py::HooksTests::test_register_hook_partial_guarding, test/dynamo/test_hooks.py::HooksTests::test_removed_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local_inner, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hook, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_multi_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_not_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_wrap_top_frame_with_hooks
2025-07-24T04:46:41.8885520Z 
2025-07-24T04:46:43.3834720Z 
2025-07-24T04:46:43.3835690Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_e040c4d399678329_.log
2025-07-24T04:46:43.3878450Z Running 203 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_activation_csr, test/export/test_sparse.py::TestSparseProp::test_add, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSR
2025-07-24T04:46:43.3920530Z 
2025-07-24T04:46:43.9342480Z Running test_package 1/1 ... [2025-07-24 04:46:43.934024]
2025-07-24T04:46:43.9343210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:43.9345830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:43.934348]
2025-07-24T04:46:45.6748410Z Running export/test_draft_export 1/1 ... [2025-07-24 04:46:45.674620]
2025-07-24T04:46:45.6748770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:45.6750870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:45.674978]
2025-07-24T04:46:46.9894050Z 
2025-07-24T04:46:46.9900870Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_fb2ddc2177a28d71_.log
2025-07-24T04:46:46.9923320Z Running 137 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestDependencyAPI::test_allow_empty_with_error, test/test_package.py::TestDependencyAPI::test_broken_dependency, test/test_package.py::TestDependencyAPI::test_deny, test/test_package.py::TestDependencyAPI::test_deny_glob, test/test_package.py::TestDependencyAPI::test_extern, test/test_package.py::TestDependencyAPI::test_extern_glob, test/test_package.py::TestDependencyAPI::test_extern_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_externing_c_extension, test/test_package.py::TestDependencyAPI::test_implicit_intern, test/test_package.py::TestDependencyAPI::test_intern_error, test/test_package.py::TestDependencyAPI::test_invalid_import, test/test_package.py::TestDependencyAPI::test_mock, test/test_package.py::TestDependencyAPI::test_mock_glob, test/test_package.py::TestDependencyAPI::test_mock_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_pickle_mocked, test/test_package.py::TestDependencyAPI::test_pickle_mocked_all, test/test_package.py::TestDependencyAPI::test_repackage_mocked_module, test/test_package.py::TestDependencyHooks::test_extern_and_mock_hook, test/test_package.py::TestDependencyHooks::test_multiple_extern_hooks, test/test_package.py::TestDependencyHooks::test_multiple_mock_hooks, test/test_package.py::TestDependencyHooks::test_remove_hooks, test/test_package.py::TestDependencyHooks::test_single_hook, test/test_package.py::TestDiGraph::test_all_paths, test/test_package.py::TestDiGraph::test_contains, test/test_package.py::TestDiGraph::test_contains_non_hashable, test/test_package.py::TestDiGraph::test_edges, test/test_package.py::TestDiGraph::test_forward_closure, test/test_package.py::TestDiGraph::test_iter, test/test_package.py::TestDiGraph::test_node_attr_update, test/test_package.py::TestDiGraph::test_node_attrs, test/test_package.py::TestDiGraph::test_predecessor_not_in_graph, test/test_package.py::TestDiGraph::test_predecessors, test/test_package.py::TestDiGraph::test_successor_not_in_graph, test/test_package.py::TestDiGraph::test_successors, test/test_package.py::DirectoryReaderTest::test_importer_access, test/test_package.py::DirectoryReaderTest::test_loading_has_record, test/test_package.py::DirectoryReaderTest::test_loading_module, test/test_package.py::DirectoryReaderTest::test_loading_pickle, test/test_package.py::DirectoryReaderTest::test_package_resource_access, test/test_package.py::DirectoryReaderTest::test_resource_access_by_path, test/test_package.py::DirectoryReaderTest::test_resource_reader, test/test_package.py::DirectoryReaderTest::test_scriptobject_failure_message, test/test_package.py::TestGlobGroup::test_exclude, test/test_package.py::TestGlobGroup::test_exclude_from_all, test/test_package.py::TestGlobGroup::test_invalid_raw, test/test_package.py::TestGlobGroup::test_list_include_exclude, test/test_package.py::TestGlobGroup::test_one_star, test/test_package.py::TestGlobGroup::test_one_star_middle, test/test_package.py::TestGlobGroup::test_one_star_multiple_in_component, test/test_package.py::TestGlobGroup::test_one_star_partial, test/test_package.py::TestGlobGroup::test_one_star_partial_extension, test/test_package.py::TestGlobGroup::test_raw_two_star, test/test_package.py::TestGlobGroup::test_two_star, test/test_package.py::TestGlobGroup::test_two_star_end, test/test_package.py::TestGlobGroup::test_two_star_middle, test/test_package.py::TestGlobGroup::test_two_star_multiple, test/test_package.py::TestImporter::test_ordered_importer_basic, test/test_package.py::TestImporter::test_ordered_importer_whichmodule, test/test_package.py::TestImporter::test_package_importer_whichmodule_no_dunder_module, test/test_package.py::TestImporter::test_single_ordered_importer, test/test_package.py::TestImporter::test_sys_importer, test/test_package.py::TestImporter::test_sys_importer_roundtrip, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_fx_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_nn_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_torchscript_module, test/test_package.py::TestMangling::test_demangle_base, test/test_package.py::TestMangling::test_demangler_multiple_manglers, test/test_package.py::TestMangling::test_is_mangled, test/test_package.py::TestMangling::test_mangle_empty_errors, test/test_package.py::TestMangling::test_mangle_prefix, test/test_package.py::TestMangling::test_mangler_is_consistent, test/test_package.py::TestMangling::test_package_mangler, test/test_package.py::TestMangling::test_roundtrip_mangling, test/test_package.py::TestMangling::test_unique_manglers, test/test_package.py::TestMangling::test_unique_module_names, test/test_package.py::TestMisc::test_dunder_package_present, test/test_package.py::TestMisc::test_dunder_package_works_from_package, test/test_package.py::TestMisc::test_exporter_content_lists, test/test_package.py::TestMisc::test_file_structure, test/test_package.py::TestMisc::test_file_structure_has_file, test/test_package.py::TestMisc::test_inspect_class, test/test_package.py::TestMisc::test_is_from_package, test/test_package.py::TestMisc::test_load_python_version_from_package, test/test_package.py::TestMisc::test_loaders_that_remap_files_work_ok, test/test_package.py::TestMisc::test_python_version, test/test_package.py::TestMisc::test_std_lib_sys_hackery_checks, test/test_package.py::ModelTest::test_model_save, test/test_package.py::ModelTest::test_resnet, test/test_package.py::ModelTest::test_script_resnet, test/test_package.py::TestPackageFX::test_package_fx_custom_tracer, test/test_package.py::TestPackageFX::test_package_fx_package, test/test_package.py::TestPackageFX::test_package_fx_simple, test/test_package.py::TestPackageFX::test_package_fx_with_imports, test/test_package.py::TestPackageFX::test_package_fx_wrap, test/test_package.py::TestPackageFX::test_package_gm_preserve_stack_trace, test/test_package.py::TestPackageFX::test_package_then_fx, test/test_package.py::TestPackageScript::test_different_package_interface, test/test_package.py::TestPackageScript::test_different_package_script_class, test/test_package.py::TestPackageScript::test_load_shared_scriptmodules, test/test_package.py::TestPackageScript::test_load_shared_tensors, test/test_package.py::TestPackageScript::test_load_shared_tensors_repackaged, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules_shared_code, test/test_package.py::TestPackageScript::test_package_interface, test/test_package.py::TestPackageScript::test_package_script_class, test/test_package.py::TestPackageScript::test_package_script_class_referencing_self, test/test_package.py::TestPackageScript::test_save_eager_mods_sharing_scriptmodule, test/test_package.py::TestPackageScript::test_save_independent_scriptmodules, test/test_package.py::TestPackageScript::test_save_repeat_scriptmodules, test/test_package.py::TestPackageScript::test_save_scriptmodule, test/test_package.py::TestPackageScript::test_save_scriptmodule_file, test/test_package.py::TestPackageScript::test_save_scriptmodule_only_necessary_code, test/test_package.py::TestPackageScript::test_save_scriptmodule_with_submods, test/test_package.py::TestPackageScript::test_save_scriptmodules_in_container, test/test_package.py::TestPackageScript::test_save_scriptmodules_submod_redefinition, test/test_package.py::TestPackageScript::test_save_shared_tensors, test/test_package.py::TestPackageScript::test_saving_and_scripting_packaged_mod, test/test_package.py::TestPackageScript::test_scriptmodules_repeat_save, test/test_package.py::TestPackageScript::test_tensor_sharing_pickle, test/test_package.py::TestRepackage::test_repackage_import_indirectly_via_parent_module, test/test_package.py::TestResources::test_importer_access, test/test_package.py::TestResources::test_package_resource_access, test/test_package.py::TestResources::test_resource_access_by_path, test/test_package.py::TestResources::test_resource_reader, test/test_package.py::TestSaveLoad::test_bad_dunder_imports, test/test_package.py::TestSaveLoad::test_dunder_imports, test/test_package.py::TestSaveLoad::test_exporting_mismatched_code, test/test_package.py::TestSaveLoad::test_pickle, test/test_package.py::TestSaveLoad::test_pickle_long_name_with_protocol_4, test/test_package.py::TestSaveLoad::test_save_imported_module, test/test_package.py::TestSaveLoad::test_save_imported_module_using_package_importer, test/test_package.py::TestSaveLoad::test_save_load_fp8, test/test_package.py::TestSaveLoad::test_save_module, test/test_package.py::TestSaveLoad::test_save_module_binary, test/test_package.py::TestSaveLoad::test_saving_source, test/test_package.py::TestSaveLoad::test_saving_string
2025-07-24T04:46:46.9944870Z 
2025-07-24T04:46:48.2474260Z 
2025-07-24T04:46:48.2475480Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_2ee93fb9f40cf8ee_.log
2025-07-24T04:46:48.2480460Z Running 21 items in this shard: test/export/test_draft_export.py::TestDraftExport::test_complex_data_dependent_expr, test/export/test_draft_export.py::TestDraftExport::test_constantify_unbacked_symbol, test/export/test_draft_export.py::TestDraftExport::test_cuda_memory_usage, test/export/test_draft_export.py::TestDraftExport::test_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_dedup_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_fake_infer_dense_in_memory_check, test/export/test_draft_export.py::TestDraftExport::test_masked_linear, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_basic, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_multiple_profiles, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_update_profile, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_guard, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_impl, test/export/test_draft_export.py::TestDraftExport::test_offsets, test/export/test_draft_export.py::TestDraftExport::test_override_incorrectly_aliasing_kernel, test/export/test_draft_export.py::TestDraftExport::test_override_mismatched_fake_kernel_with_unbacked_symbols, test/export/test_draft_export.py::TestDraftExport::test_override_size_and_dtype_mismatched_fake_kernels, test/export/test_draft_export.py::TestDraftExport::test_shape_failure, test/export/test_draft_export.py::TestDraftExport::test_side_effect1, test/export/test_draft_export.py::TestDraftExport::test_side_effect_inps, test/export/test_draft_export.py::TestDraftExport::test_torchbind, test/export/test_draft_export.py::TestDraftExport::test_unbacked_div_mod_replacement
2025-07-24T04:46:48.2485230Z 
2025-07-24T04:46:49.1617070Z Running test_ops_fwd_gradients 1/1 ... [2025-07-24 04:46:49.161488]
2025-07-24T04:46:49.1617840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:49.1620390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:49.161794]
2025-07-24T04:46:50.4319630Z Running test_ops_gradients 1/1 ... [2025-07-24 04:46:50.431738]
2025-07-24T04:46:50.4320380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:46:50.4321960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:46:50.432078]
2025-07-24T04:47:00.4159530Z 
2025-07-24T04:47:00.4160070Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_51d40a4813f0fe6b_.log
2025-07-24T04:47:00.4292650Z Running 647 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_should_not_execute, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_hook_relative_ordering, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_backward_with_scalar_input, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, 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test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_simple_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_correctness_zero_dim_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jacobian_vectorize_raises_no_warnings_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_jvp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vhp_scalar_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_create_graph_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_err_check_strict_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_no_grad_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_output_logging_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_base_tensor, test/test_autograd.py::TestAutogradFunctional::test_vjp_scalar_logging_tensor, test/test_autograd.py::TestAutogradLogging::test_logging, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_large_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_advanced_indexing_backwards_memory_format_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_backward_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_complex_scalar_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy__cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_broadcasting_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_forward_ad_same_layout_copies_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_copy_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_cross_device_reentrant_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_free_unneeded_tensor_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_grad_assignment_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_gradcheck_input_output_different_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_multiple_output_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_backprop_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_gradcheck_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_makes_base_require_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_modify_base_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_safe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multi_output_unsafe_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_multiple_outputs_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_non_contig_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_multiple_output_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_of_view_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_python_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_then_no_grad_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inplace_on_view_undefined_grad_output_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_inputbuffer_add_multidevice_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_min_max_median_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_mv_grad_stride_0_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_non_differentiable_ops_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_parameter_resize_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pin_memory_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pow_real_negative_base_complex_exponent_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_itt_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_profiler_emit_nvtx_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_pyscalar_conversions_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_reentrant_parent_error_on_cpu_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_requires_grad_factory_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_resize_version_bump_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_rnn_backward_to_input_but_not_parameters_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_scatter_index_reduce_prod_gradgrad_error_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int16, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int32, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_set_requires_grad_only_for_floats_cpu_int8, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_simple_reentrant_cross_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_mask_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_strided_leaf_grad_layout_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_to_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_unused_output_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_warning_in_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_functional_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_scalar_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_composite_implicit_and_dispatch_registration_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_multiple_dispatch_registrations_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_single_threaded_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_tls_stash_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_foward_mode_AD_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_is_retain_graph_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu
2025-07-24T04:47:00.4418810Z 
2025-07-24T04:47:02.3419950Z Running xpu/test_fusion 1/1 ... [2025-07-24 04:47:02.341785]
2025-07-24T04:47:02.3421160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:02.3423230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:02.342072]
2025-07-24T04:47:04.4215380Z 
2025-07-24T04:47:04.4216220Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_d26c82320094f9ca_.log
2025-07-24T04:47:04.4216720Z Running 0 items in this shard:
2025-07-24T04:47:04.4216860Z 
2025-07-24T04:47:06.4750950Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-07-24 04:47:06.474919]
2025-07-24T04:47:06.4753320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:06.4754810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:06.475229]
2025-07-24T04:47:10.6113530Z 
2025-07-24T04:47:10.6114470Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_77ee6c2a109ce832_.log
2025-07-24T04:47:10.6119720Z Running 11 items in this shard: test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_divide_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_exp_neg_is_leaf_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_identity_does_not_hog_memory_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_is_contiguous_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_abs_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_empty_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_ones_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_transpose_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_zero__cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_slow_sgd_cpu
2025-07-24T04:47:10.6124000Z 
2025-07-24T04:47:12.5770910Z Running test_mkldnn 1/1 ... [2025-07-24 04:47:12.576894]
2025-07-24T04:47:12.5771610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:12.5773850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:12.577192]
2025-07-24T04:47:14.7423270Z 
2025-07-24T04:47:14.7424010Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_9b7b8f556b9c004e_.log
2025-07-24T04:47:14.7438350Z Running 89 items in this shard: test/test_mkldnn.py::TestMkldnnCPU::test_0_dimension_tensor_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_add_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_from_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_to_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_clone_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_functional_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_legacy_jit_model_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_byte_char_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_copy_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_default_use_parent_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_detach_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_empty_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_generic_precision_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_jit_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_legacy_new_failure_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_non_contiguous_weight_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_lstm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_conv_shapecheck_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_error_on_zero_stride_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_scaled_mm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_setflags_nowarn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mlkdnn_get_set_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mul_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu__cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_inplace_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_repr_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_blocked_format_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnet18_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnext50_32x4d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_set_data_tensorimpl_type_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_sigmoid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_softmax_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_tanh_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_invalid_dime_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_view_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_zero__cpu
2025-07-24T04:47:14.7451930Z 
2025-07-24T04:47:16.7670800Z Running test_mkl_verbose 1/1 ... [2025-07-24 04:47:16.766868]
2025-07-24T04:47:16.7671530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:16.7673920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:16.767154]
2025-07-24T04:47:20.7201240Z 
2025-07-24T04:47:20.7201990Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_ff02b6ca7f638087_.log
2025-07-24T04:47:20.7204020Z Running 2 items in this shard: test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_off, test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_on
2025-07-24T04:47:20.7205140Z 
2025-07-24T04:47:22.7297040Z Running test_comparison_utils 1/1 ... [2025-07-24 04:47:22.729506]
2025-07-24T04:47:22.7297840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:22.7299960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:22.729790]
2025-07-24T04:47:24.8177200Z 
2025-07-24T04:47:24.8177850Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_61bb4961aa254c7c_.log
2025-07-24T04:47:24.8179740Z Running 7 items in this shard: test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert, test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert_nones, test/test_comparison_utils.py::TestComparisonUtils::test_assert_device, test/test_comparison_utils.py::TestComparisonUtils::test_assert_dtype, test/test_comparison_utils.py::TestComparisonUtils::test_assert_layout, test/test_comparison_utils.py::TestComparisonUtils::test_assert_sizes, test/test_comparison_utils.py::TestComparisonUtils::test_assert_strides
2025-07-24T04:47:24.8181170Z 
2025-07-24T04:47:26.7941700Z Running test_transformers 1/2 ... [2025-07-24 04:47:26.794000]
2025-07-24T04:47:26.7942460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:47:26.7944360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_transformers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:47:26.794281]
2025-07-24T04:50:17.4381890Z 
2025-07-24T04:50:17.4391920Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_ba168850e6560196_.log
2025-07-24T04:50:17.5378270Z Running 3189 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmod___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__batch_norm_with_update_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__native_batch_norm_legit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_lengths_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_offsets_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__softmax_backward_data_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__upsample_bilinear2d_aa_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_all_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_all_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_aminmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_angle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_any_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_arange_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bernoulli_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bucketize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_byte_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_chalf_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_chalf_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_long_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lt_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_amax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_argmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_log_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logaddexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_median_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_maximum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_median_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_minimum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mode_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nan_to_num_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmedian_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanquantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_dropout_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_zeros_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_zeros_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_alpha_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_grid_sample_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_group_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardswish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_head_attention_forward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_prelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu6_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rrelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_selu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_threshold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_number_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rad2deg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128, 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2025-07-24T04:50:17.6211820Z 
2025-07-24T04:50:19.8060550Z Running test_transformers 2/2 ... [2025-07-24 04:50:19.805827]
2025-07-24T04:50:19.8061370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:50:19.8063830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_transformers.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:50:19.806105]
2025-07-24T04:52:43.2728100Z 
2025-07-24T04:52:43.2728770Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_6f04bdb6852f0341_.log
2025-07-24T04:52:43.4275210Z Running 5379 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCatCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCubeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNMSCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySortCustomOp_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtri_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64
2025-07-24T04:52:43.5739070Z 
2025-07-24T04:52:45.8459380Z Running test_license 1/1 ... [2025-07-24 04:52:45.845660]
2025-07-24T04:52:45.8460660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:52:45.8464270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_license.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:52:45.846187]
2025-07-24T04:52:48.6492920Z 
2025-07-24T04:52:48.6499360Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_1ec6518b4a028350_.log
2025-07-24T04:52:48.6500550Z Running 2 items in this shard: test/test_license.py::TestLicense::test_distinfo_license, test/test_license.py::TestLicense::test_license_for_wheel
2025-07-24T04:52:48.6500960Z 
2025-07-24T04:52:51.1292650Z Running test_ao_sparsity 1/1 ... [2025-07-24 04:52:51.129057]
2025-07-24T04:52:51.1293410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:52:51.1296640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:52:51.129430]
2025-07-24T04:52:56.3289180Z 
2025-07-24T04:52:56.3291360Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_c50fc9eabc31f7da_.log
2025-07-24T04:52:56.3346120Z Running 76 items in this shard: test/test_ao_sparsity.py::TestQuantizedSparseKernels::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear_serdes, test/test_ao_sparsity.py::TestFakeSparsity::test_jit_trace, test/test_ao_sparsity.py::TestFakeSparsity::test_masking_logic, test/test_ao_sparsity.py::TestFakeSparsity::test_state_dict_preserved, test/test_ao_sparsity.py::TestFakeSparsity::test_weights_parametrized, test/test_ao_sparsity.py::TestCubicScheduler::test_constructor, test/test_ao_sparsity.py::TestCubicScheduler::test_step, test/test_ao_sparsity.py::TestScheduler::test_constructor, test/test_ao_sparsity.py::TestScheduler::test_lambda_scheduler, test/test_ao_sparsity.py::TestScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestScheduler::test_step, test/test_ao_sparsity.py::TestBaseSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseSparsifier::test_convert, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params1, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params2, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params3, test/test_ao_sparsity.py::TestBaseSparsifier::test_prepare_config, test/test_ao_sparsity.py::TestBaseSparsifier::test_state_dict, test/test_ao_sparsity.py::TestBaseSparsifier::test_step, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_constructor, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_prepare, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_constructor, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_prepare, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step_2_of_4, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_complex_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_activation_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_bias_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_padding_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_pool_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_activation_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_bias_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_linear, test/test_ao_sparsity.py::TestFPGMPruner::test_compute_distance, test/test_ao_sparsity.py::TestFPGMPruner::test_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_lstm_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestActivationSparsifier::test_activation_sparsifier, test/test_ao_sparsity.py::TestBaseDataScheduler::test_constructor, test/test_ao_sparsity.py::TestBaseDataScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestBaseDataScheduler::test_state_dict, test/test_ao_sparsity.py::TestBaseDataScheduler::test_step, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_embeddings, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_parameters, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_tensors, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_embeddings, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_parameters, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_tensors, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_quantize_first, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_sparsify_first, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_for_tensors, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_root
2025-07-24T04:52:56.3367550Z 
2025-07-24T04:52:58.9325400Z Running test_foreach 1/1 ... [2025-07-24 04:52:58.932384]
2025-07-24T04:52:58.9326930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:52:58.9329510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:52:58.932665]
2025-07-24T04:53:47.4172590Z 
2025-07-24T04:53:47.4173170Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_b577b4610944b17d_.log
2025-07-24T04:53:47.5148910Z Running 3577 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_norm_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_rsqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcdiv_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_addcmul_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_asin_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_atan_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_ceil_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_max_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_clamp_min_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_copy_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_cosh_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_div_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erf_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_erfc_outplace_cpu_complex128, 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test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_float64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int16, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int32, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int64, test/test_foreach.py::TestForeachCPU::test_foreach_copy_with_multi_dtypes__foreach_copy_cpu_int8, 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test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_rsqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_inplace_foreach_leaf_check_and_grad_fn__foreach_sinh_cpu_float32, 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test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_rsqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_lifetime_of_grad_fn_when_result_is_saved__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_outplace_with_invalid_grads__foreach_div_cpu_float32, 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test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sigmoid_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sign_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sin_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sinh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_uint8
2025-07-24T04:53:47.6198720Z 
2025-07-24T04:53:50.0559530Z Running test_functionalization 1/1 ... [2025-07-24 04:53:50.055753]
2025-07-24T04:53:50.0561570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:53:50.0564890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:53:50.056078]
2025-07-24T04:53:55.9600580Z 
2025-07-24T04:53:55.9601910Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_d754ea6c8786953e_.log
2025-07-24T04:53:55.9675230Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace
2025-07-24T04:53:55.9708420Z 
2025-07-24T04:53:58.4211440Z Running test_expanded_weights 1/1 ... [2025-07-24 04:53:58.420954]
2025-07-24T04:53:58.4212230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:53:58.4215960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:53:58.421328]
2025-07-24T04:54:06.1997310Z 
2025-07-24T04:54:06.2005540Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_4db5ad8ef2e24436_.log
2025-07-24T04:54:06.2069200Z Running 189 items in this shard: test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_failure_args_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_sum_over_all_but_batch_and_last_n_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_with_custom_function_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_mean_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_sum_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_embedding_model_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_uint8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_cpu, 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test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_not_pytreeable_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_failing_cpu
2025-07-24T04:54:06.2130020Z 
2025-07-24T04:54:08.6452010Z Running backends/xeon/test_launch 1/1 ... [2025-07-24 04:54:08.645004]
2025-07-24T04:54:08.6453080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:54:08.6455510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:54:08.645307]
2025-07-24T04:54:11.0082080Z 
2025-07-24T04:54:11.0083600Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_485712fa74fcf03f_.log
2025-07-24T04:54:11.0086640Z Running 2 items in this shard: test/backends/xeon/test_launch.py::TestTorchrun::test_cpu_info, test/backends/xeon/test_launch.py::TestTorchrun::test_multi_threads
2025-07-24T04:54:11.0088300Z 
2025-07-24T04:54:13.3915210Z Running test_openmp 1/1 ... [2025-07-24 04:54:13.391335]
2025-07-24T04:54:13.3915940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:54:13.3919380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:54:13.391736]
2025-07-24T04:54:20.1006280Z 
2025-07-24T04:54:20.1008730Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_72d7f65525df5111_.log
2025-07-24T04:54:20.1027720Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-07-24T04:54:20.1032880Z 
2025-07-24T04:54:20.2489240Z 
2025-07-24T04:54:20.2490540Z test_transformers 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_1.2_26c328670b56d00e_.log
2025-07-24T04:54:20.3611180Z Running 1703 items in this shard: test/test_transformers.py::TestTransformersCPU::test_bias_is_none_cpu, test/test_transformers.py::TestTransformersCPU::test_decoder_only_layer_cpu, test/test_transformers.py::TestTransformersCPU::test_encoder_padding_and_src_mask_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_is_causal_gpu_cpu, test/test_transformers.py::TestTransformersCPU::test_kpm_mask_trailing_column_with_nested_tensor_cpu, test/test_transformers.py::TestTransformersCPU::test_mask_check_fastpath_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_1_bias_False_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_8_bias_True_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_script_mha_in_proj_weight_none_cpu, test/test_transformers.py::TestTransformersCPU::test_self_attn_TxT_attn_mask_cpu, test/test_transformers.py::TestTransformersCPU::test_train_with_pad_and_catch_error_cpu, test/test_transformers.py::TestTransformersCPU::test_transformer_bias_is_none_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_4_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_subclass_model_cpu, test/test_transformers.py::TestTransformersCPU::test_with_nested_tensor_input_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_atteention_large_bf16_nan_values_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_attention_fail_with_non_square_causal_attention_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_193_dropout_p_0_0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_256_dropout_p_0_2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_fail_fp32_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_nested_broadcasting_error_cases_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_nested_broadcasting_requires_grad_failure_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_fused_kernels_seq_len_0_inputs_fused_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_attn_mask_present_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_broadcast_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_dim_3_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_invalid_dtype_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_last_dim_stride_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_sequence_lengths_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_fail_with_batch_size_geq_65536_error_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_efficient_fail_bfloat16_less_than_sm80_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_nested_fails_on_padding_head_dim_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_unaligned_tensors_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_cpu_flash_attn_nan_propagation_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_128_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_non_masked_rows_nan_props_float32_fill_val_inf_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_attention_math_with_negative_scale_kernel0_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads0_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads1_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads0_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads0_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads1_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads1_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads2_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads0_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads2_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads2_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads3_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads1_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_and_mask_fails_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape3_cpu
2025-07-24T04:54:20.4593700Z 
2025-07-24T04:54:22.5324420Z Running test_ops 1/2 ... [2025-07-24 04:54:22.532282]
2025-07-24T04:54:22.5325350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:54:22.5327970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:54:22.532566]
2025-07-24T04:54:22.6638820Z Running test_decomp 2/4 ... [2025-07-24 04:54:22.663710]
2025-07-24T04:54:22.6639500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:54:22.6642380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:54:22.664044]
2025-07-24T04:57:13.3310820Z 
2025-07-24T04:57:13.3311450Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_0cce93b2d384ff13_.log
2025-07-24T04:57:13.4276630Z Running 1600 items in this shard: test/test_transformers.py::TestTransformersCPU::test_decoder_padding_and_src_mask_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_disable_fastpath_cpu, test/test_transformers.py::TestTransformersCPU::test_encoder_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_math_backend_high_precision_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_1_bias_True_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_8_bias_False_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_script_encoder_subclass_cpu, test/test_transformers.py::TestTransformersCPU::test_train_with_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_3_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_4_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_1_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_8_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_subclass_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_dispatch_fails_no_backend_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_bfloat16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_float16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_193_dropout_p_0_2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_256_dropout_p_0_0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_head_dim_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_sdpa_kernel_grouped_query_attention_cuda_fused_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mask_invalid_last_dim_stride_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mask_invalid_last_dim_stride_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_fail_with_batch_size_geq_65536_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_large_seq_len_uniform_attention_cpu, test/test_transformers.py::TestSDPACPU::test_scaled_dot_product_attention_math_with_negative_scale_kernel0_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_False_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_True_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_cpu_flash_attn_nan_propagation_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_non_masked_rows_nan_props_float16_fill_val_inf_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads0_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads1_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads2_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads2_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads3_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads3_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads2_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads3_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads3_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads0_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads1_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads1_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads3_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads0_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads0_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads1_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads2_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads2_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads3_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads3_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_backward_with_gradient_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_with_inf_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape2_cpu
2025-07-24T04:57:13.5207610Z 
2025-07-24T04:57:15.3429480Z Running test_decomp 3/4 ... [2025-07-24 04:57:15.342770]
2025-07-24T04:57:15.3430210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T04:57:15.3432580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 04:57:15.343062]
2025-07-24T05:03:42.9562740Z 
2025-07-24T05:03:42.9563500Z test_decomp 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.4_2fb8d15b30f06d4a_.log
2025-07-24T05:03:42.9990370Z Running 2281 items in this shard: test/test_decomp.py::TestDecompCPU::test_bernoulli_default_cpu, test/test_decomp.py::TestDecompCPU::test_cat_single_input_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_digamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_det_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_slogdet_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logcumsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logdet_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logdet_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_masked_fill_cpu, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_uint8, 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2025-07-24T05:03:43.0403130Z 
2025-07-24T05:03:43.3018290Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-07-24T05:03:43.3024490Z Uploading artifacts took 0.00 seconds
2025-07-24T05:03:44.8945960Z Running test_decomp 4/4 ... [2025-07-24 05:03:44.894388]
2025-07-24T05:03:44.8946680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:03:44.8948720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:03:44.894667]
2025-07-24T05:04:17.8944600Z 
2025-07-24T05:04:17.8945340Z test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.2_9650f531306f57bd_.log
2025-07-24T05:04:18.2400680Z Running 17174 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_pinverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_list_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_std_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_svd_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_sparse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_trapz_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unfold_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_sub_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_transpose_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unbind_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unfold_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsafe_split_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsqueeze_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_vstack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_where_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes___rdiv___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmatmul___cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_chunk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_clamp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_clamp_max_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_physical_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cumprod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_deg2rad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diag_embed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diagonal_copy_cpu, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_aminmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmatmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_allclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_constant_pad_nd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trunc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_chunk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zero__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_zero__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_H_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_T_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___getitem___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rand___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rdiv___cpu_bool, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_char_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cholesky_inverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chunk_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clamp_min_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clone_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_contiguous_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_contiguous_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_corrcoef_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cos_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cos_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_count_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cov_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumulative_trapezoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dsplit_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_as_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expm1_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flip_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fliplr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flipud_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gather_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gradient_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hsplit_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_imag_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_add_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isreal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_2inputs_2outputs_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cond_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_hermitian_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svdvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_and_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_std_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matrix_exp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmedian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_elu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_unfold_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_j1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_u_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_erfcx_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_list_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_square_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_multiple_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_mean_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sub_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sum_to_size_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_svd_lowrank_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_svd_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_t_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_t_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_take_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tanh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tensor_split_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tensor_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tensordot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tensordot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tile_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_to_sparse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_to_sparse_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_to_sparse_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trapezoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triangular_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tril_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trunc_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trunc_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unbind_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unflatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_uniform_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_consecutive_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unravel_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unsafe_chunk_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unsqueeze_copy_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_atanh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cholesky_inverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cholesky_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_column_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_conj_physical_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_diagonal_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_dstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_exp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_expm1_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_float_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_gather_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_hypot_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_householder_product_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lstsq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svdvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logaddexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logcumsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_unpack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_matmul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ones_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ormqr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_permute_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rsqrt_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_squeeze_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_std_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_where_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_out_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_searchsorted_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_warning_special_shifted_chebyshev_polynomial_t_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_special_shifted_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_split_with_sizes_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_sqrt_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_square_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_squeeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_squeeze_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_squeeze_multiple_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_std_mean_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_std_mean_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_std_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_stft_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_sub_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_sum_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_sum_to_size_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_svd_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_svd_lowrank_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_t_copy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_tanh_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_tensor_split_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_tile_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_to_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_to_sparse_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_topk_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_torch__scaled_mm_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_trace_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_trapz_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_triu_indices_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_trunc_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_unfold_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_unique_consecutive_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_unsafe_chunk_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_var_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_view_as_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_zeros_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_zeros_like_cpu, test/test_ops.py::TestCommonCPU::test_out_zeros_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_pointwise_tag_coverage_cpu, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float___rdiv___cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float___rdiv___cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float___rdiv___cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_acos_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_acos_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_acos_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_acosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_acosh_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_asin_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_asin_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_asin_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_asinh_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_asinh_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atan2_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atan2_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atan_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atan_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atan_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atanh_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atanh_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_atanh_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_copysign_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_copysign_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_copysign_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_cos_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_cos_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_cos_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_cosh_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_cosh_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_deg2rad_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_deg2rad_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_deg2rad_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_deg2rad_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_digamma_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_digamma_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_div_no_rounding_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_div_no_rounding_mode_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_div_no_rounding_mode_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erf_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erf_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erf_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfc_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfc_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfc_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfinv_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfinv_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_erfinv_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp2_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp2_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp2_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp2_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_exp_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_expm1_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_float_power_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_float_power_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_i0_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_i0_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_i0_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_i0_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_ldexp_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_ldexp_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_ldexp_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_lgamma_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_lgamma_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_lgamma_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log10_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log1p_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log1p_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log1p_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log1p_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log2_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log2_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log2_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_log_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_logit_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_logit_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_masked_std_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_masked_std_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_masked_var_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_masked_var_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_0_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_0_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_1_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_1_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_2_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_2_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_2_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_3_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_3_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_polygamma_polygamma_n_3_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_rad2deg_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_reciprocal_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_reciprocal_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_reciprocal_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_rsqrt_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_rsqrt_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sigmoid_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sigmoid_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sigmoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sin_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sin_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sin_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sinc_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sinc_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sinh_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_t_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_u_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_u_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_v_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_v_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_v_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_v_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_w_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_w_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_chebyshev_polynomial_w_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_h_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_h_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_h_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_h_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_h_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_he_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_hermite_polynomial_he_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_laguerre_polynomial_l_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_laguerre_polynomial_l_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_laguerre_polynomial_l_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_legendre_polynomial_p_cpu_int8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_legendre_polynomial_p_cpu_uint8, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_u_cpu_bool, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_u_cpu_int32, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_u_cpu_int64, test/test_ops.py::TestCommonCPU::test_promotes_int_to_float_special_shifted_chebyshev_polynomial_v_cpu_bool, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_normal__in_place_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_repeat_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_hsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_inner_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cond_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_det_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_householder_product_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_slogdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log10_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_unpack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_reflect_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_static_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ones_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ormqr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_outer_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pca_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_randn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scalar_tensor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_slice_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapz_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triangular_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_where_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___getitem___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rpow___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__chunk_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_true_divide_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_angle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_argwhere_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cartesian_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cov_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumulative_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_permuted_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_gather_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_inner_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_return_by_ref_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_kron_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cond_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eig_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_householder_product_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_grad_oriented_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_slogdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_unpack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_circular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_reflect_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_fro_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ormqr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pca_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rot90_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_slice_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_H_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rpow___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__chunk_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__native_batch_norm_legit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_or_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_xor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_alpha_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_threshold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_signbit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_spherical_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_to_size_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_offsets_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumulative_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flip_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gather_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cond_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_hermitian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_subgradients_at_zero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_slogdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_triangular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logcumsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_softmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_std_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_pool2d_with_indices_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_msort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_multinomial_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanquantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nansum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_batch_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_similarity_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_bag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_fractional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_gaussian_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_grid_sample_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_instance_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_kl_div_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_local_response_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_logsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_constant_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_reflect_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_rrelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softsign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ormqr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_outer_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pca_lowrank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pinverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_4_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randn_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_interleave_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize_as__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resolve_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_neg_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scalar_tensor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_bartlett_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_gaussian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_general_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hann_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sparse_sampled_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_laguerre_polynomial_l_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_legendre_polynomial_p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tensordot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_sparse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_topk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapz_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_triangular_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_triu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unsafe_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unsafe_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_xlogy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_zero__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_zeros_like_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_T_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_bfloat16_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_bool_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_byte_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_chalf_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_double_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_float_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_long_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_polar_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_short_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_acosh__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_add__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_add_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcdiv__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcdiv_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_all_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_any_cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_or_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_shapes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___ror___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_allclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags_H_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags_view_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_xlogy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zeros_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zeros_like_cpu_float32
2025-07-24T05:04:18.7070800Z 
2025-07-24T05:04:19.8736550Z Running test_jiterator 1/1 ... [2025-07-24 05:04:19.873458]
2025-07-24T05:04:19.8737800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:04:19.8739870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:04:19.873740]
2025-07-24T05:04:21.9254850Z 
2025-07-24T05:04:21.9256050Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_69bcf64123d558bf_.log
2025-07-24T05:04:21.9256520Z Running 0 items in this shard:
2025-07-24T05:04:21.9256650Z 
2025-07-24T05:04:23.8373620Z Running test_unary_ufuncs 1/1 ... [2025-07-24 05:04:23.837166]
2025-07-24T05:04:23.8374340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:04:23.8376460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:04:23.837439]
2025-07-24T05:06:10.9596800Z 
2025-07-24T05:06:10.9598280Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_e8f303d4820d01f2_.log
2025-07-24T05:06:11.0029250Z Running 2267 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogramdd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_istft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nextafter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_channel_shuffle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv2d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_dropout3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_dropout3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_dropout_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_elu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_glu_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_kl_div_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_l1_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_layer_norm_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_entr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators
2025-07-24T05:06:11.0442070Z 
2025-07-24T05:06:12.9276310Z Running test_legacy_vmap 1/1 ... [2025-07-24 05:06:12.927450]
2025-07-24T05:06:12.9277030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:12.9279230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_legacy_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:12.927734]
2025-07-24T05:06:15.7216780Z 
2025-07-24T05:06:15.7217400Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_20b70b67a467cc18_.log
2025-07-24T05:06:15.7241180Z Running 124 items in this shard: test/test_legacy_vmap.py::TestVmapAPILegacy::test_accepts_nested_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_backward_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_batched_gradient_basic, test/test_legacy_vmap.py::TestVmapAPILegacy::test_constant_function, test/test_legacy_vmap.py::TestVmapAPILegacy::test_different_map_dim_size_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_atan2, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_does_not_warn_by_default, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_masked_fill, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_multiple_returns, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_warns_when_warnings_are_enabled, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_with_undefined_grad, test/test_legacy_vmap.py::TestVmapAPILegacy::test_fallback_zero_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_func_with_no_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_functools_partial, test/test_legacy_vmap.py::TestVmapAPILegacy::test_grad_unsupported_interaction, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dim_not_in_tensor_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_in_dims_wrong_type_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_different_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_nary_same_levels, test/test_legacy_vmap.py::TestVmapAPILegacy::test_inplace_fallback_unary, test/test_legacy_vmap.py::TestVmapAPILegacy::test_integer_in_dim_but_not_tensor_input_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_inputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs, test/test_legacy_vmap.py::TestVmapAPILegacy::test_multiple_outputs_error_cases, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_non_default_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_different_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nested_with_same_map_dim, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nn_module, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_default_in_dims_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_tensor_output_raises, test/test_legacy_vmap.py::TestVmapAPILegacy::test_non_zero_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_none_in_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_nonzero_out_dims, test/test_legacy_vmap.py::TestVmapAPILegacy::test_noop_in_inner_vmap, test/test_legacy_vmap.py::TestVmapAPILegacy::test_not_enough_in_dims_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dim_out_of_bounds_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_and_num_outputs_mismatch_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_edge_case, test/test_legacy_vmap.py::TestVmapAPILegacy::test_out_dims_must_be_int_or_tuple_of_int_err_msg, test/test_legacy_vmap.py::TestVmapAPILegacy::test_single_input, test/test_legacy_vmap.py::TestVmapAPILegacy::test_unsupported_op_err_msg, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_T_numpy, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_as_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_binary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_bmm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_cat, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_chunk, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clamp, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_clone, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_comparison_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_conj, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_diagonal, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_dot, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_expand_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_fill_and_zero_inplace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_imag, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_contiguous, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_is_floating_point, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mm, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_movedim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_mv, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_narrow, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_empty_strided, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_new_zeros, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_no_random_op_support, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_reshape_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_result_type, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_select, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_slice, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_squeeze, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stack, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_stride, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_sum_dim, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_t, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_tensor_split, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_to, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_trace, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_transpose, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unary_pointwise_ops, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unbind, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_unfold, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_complex, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_view_as_real, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapOperatorsLegacy::test_vmap_fallback_check_ok, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_add_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_binary_cross_entropy_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_diagonal_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_div_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_expand_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_index_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_manyview_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_inplace_on_view_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_lgamma_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log1p_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_log_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_logsumexp_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_max_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_median_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_min_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_mul_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_permute_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_reshape_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_select_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sigmoid_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_slice_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_stack_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_sub_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_threshold_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_trace_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_unrelated_output_multiple_grad_cpu, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check, test/test_legacy_vmap.py::TestVmapBatchedGradientLegacyCPU::test_vmap_fallback_check_ok
2025-07-24T05:06:15.7263610Z 
2025-07-24T05:06:17.7034380Z Running test_function_schema 1/1 ... [2025-07-24 05:06:17.703238]
2025-07-24T05:06:17.7035140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:17.7037270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:17.703510]
2025-07-24T05:06:19.9937460Z 
2025-07-24T05:06:19.9938500Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_7e11644ddcb2b2a3_.log
2025-07-24T05:06:19.9943170Z Running 15 items in this shard: test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_arguments, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_outputs, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_structure, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_with_smart_serialization, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_real_use_case, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_with_out, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_without_out, test/test_function_schema.py::TestFunctionSchema::test_hash_schema, test/test_function_schema.py::TestFunctionSchema::test_out_schema, test/test_function_schema.py::TestFunctionSchema::test_schema_error, test/test_function_schema.py::TestFunctionSchema::test_serialize_and_deserialize, test/test_function_schema.py::TestFunctionSchema::test_string_optional_parameter_default_value, test/test_function_schema.py::TestFunctionSchema::test_sym_int_argument_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_list_alias_annotation_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_option_arguments_properly_parsed
2025-07-24T05:06:19.9946960Z 
2025-07-24T05:06:22.0411640Z Running xpu/test_gemm 1/1 ... [2025-07-24 05:06:22.040947]
2025-07-24T05:06:22.0412380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:22.0415820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'xpu/test_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:22.041252]
2025-07-24T05:06:24.1886160Z 
2025-07-24T05:06:24.1887170Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_8390b638a4930aca_.log
2025-07-24T05:06:24.1887650Z Running 0 items in this shard:
2025-07-24T05:06:24.1887780Z 
2025-07-24T05:06:26.2152600Z Running lazy/test_functionalization 1/1 ... [2025-07-24 05:06:26.215036]
2025-07-24T05:06:26.2153790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:26.2155870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:26.215468]
2025-07-24T05:06:28.4821260Z 
2025-07-24T05:06:28.4822780Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_8c413b6a8d15d71d_.log
2025-07-24T05:06:28.4824290Z Running 2 items in this shard: test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_data_assign, test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_lazy_init_with_view
2025-07-24T05:06:28.4824880Z 
2025-07-24T05:06:30.5412380Z Running distributions/test_constraints 1/1 ... [2025-07-24 05:06:30.541038]
2025-07-24T05:06:30.5413240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:30.5415520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:30.541350]
2025-07-24T05:06:32.9143520Z 
2025-07-24T05:06:32.9144330Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_3a99cede47410b2f_.log
2025-07-24T05:06:32.9177780Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24]
2025-07-24T05:06:32.9209090Z 
2025-07-24T05:06:35.0180590Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-07-24 05:06:35.017867]
2025-07-24T05:06:35.0181530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:35.0183760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:35.018169]
2025-07-24T05:06:39.0604540Z 
2025-07-24T05:06:39.0605290Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_48eeaafe6ab62dd6_.log
2025-07-24T05:06:39.0664670Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, 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test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_too_few_items, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_types, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_values, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_?, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_B, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_b, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_h, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_i, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_axis_all_dtypes_typecode_l, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_count_nonzero_list, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_axis_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_countnonzero_keepdims, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_onedim_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_trivial_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_twodim, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_nonzero_zerod_differs, test/torch_np/numpy_tests/core/test_numeric.py::TestNonzeroAndCountNonzero::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean, test/torch_np/numpy_tests/core/test_numeric.py::TestIndex::test_boolean_edgecase, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_large_neg_int64, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_neg_width_boundaries, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_sufficient_width, test/torch_np/numpy_tests/core/test_numeric.py::TestBinaryRepr::test_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base3, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_base_range, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_negative, test/torch_np/numpy_tests/core/test_numeric.py::TestBaseRepr::test_positive, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equal_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_array_equiv, test/torch_np/numpy_tests/core/test_numeric.py::TestArrayComparisons::test_none_compares_elementwise, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_array_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_func_takes_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_array, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_inplace_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_non_contig, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_property, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_scalar_nan_propagation_arr0_amin0_amax0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin2_amax2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax1, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_value_min_max_flip_amin_1_amax_0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_array_outint32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_memory_overlap, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple2, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_simple_int32, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_clip_with_out_transposed, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_noncontig_inplace, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_D, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_F, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_2_dtype_e, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_?, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_B, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_b, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_d, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_f, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_h, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_i, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_ones_pathological_dtype_l, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_double, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_inplace_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting0, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_inout_casting_unsafe, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int32_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_inout, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_int64_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_nonnative, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_simple_out, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_01, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_02, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_03, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_04, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_05, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_06, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_07, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_08, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_09, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_10, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_11, test/torch_np/numpy_tests/core/test_numeric.py::TestClip::test_type_cast_12, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_equalnan, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_ip_not_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_min_int, test/torch_np/numpy_tests/core/test_numeric.py::TestAllclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_equal_nan, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_all_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_isclose_allclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_ip_none_isclose, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_no_parameter_modification, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_non_finite_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestIsclose::test_scalar_return, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof1, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_ddof2, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_out_scalar, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVar::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_basic, test/torch_np/numpy_tests/core/test_numeric.py::TestStdVarComplex::test_scalars, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_for_reference_leak, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_full, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_ones, test/torch_np/numpy_tests/core/test_numeric.py::TestCreationFuncs::test_zeros, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc0_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc1_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc2_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_dtype_str_bytes_likefunc3_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_empty_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_filled_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_ones_like, test/torch_np/numpy_tests/core/test_numeric.py::TestLikeFuncs::test_zeros_like, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_complex, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_mode, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_no_overwrite, test/torch_np/numpy_tests/core/test_numeric.py::TestCorrelate::test_zero_size, test/torch_np/numpy_tests/core/test_numeric.py::TestConvolve::test_mode, 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test/torch_np/numpy_tests/core/test_numeric.py::TestRoll::test_roll_empty, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_exceptions, test/torch_np/numpy_tests/core/test_numeric.py::TestRollaxis::test_results, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_errors, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_multiples, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_new_position, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_move_to_end, test/torch_np/numpy_tests/core/test_numeric.py::TestMoveaxis::test_preserve_order, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x2, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_2x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_3x3, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype3_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_scalar_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_simple, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_single_input, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_sparse, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_C_and_F_simul, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_non_array_input, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_require_each, test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional
2025-07-24T05:06:39.0722620Z 
2025-07-24T05:06:41.0577920Z Running test_matmul_cuda 1/1 ... [2025-07-24 05:06:41.057624]
2025-07-24T05:06:41.0578910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:41.0581300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:41.057917]
2025-07-24T05:06:43.2079720Z 
2025-07-24T05:06:43.2081230Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_c33ca75167701509_.log
2025-07-24T05:06:43.2082210Z Running 0 items in this shard:
2025-07-24T05:06:43.2082360Z 
2025-07-24T05:06:45.2927590Z Running test_type_promotion 1/1 ... [2025-07-24 05:06:45.292562]
2025-07-24T05:06:45.2928400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:45.2931210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:45.292907]
2025-07-24T05:06:49.0221150Z 
2025-07-24T05:06:49.0221990Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_2c53b9765b23d754_.log
2025-07-24T05:06:49.0324740Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, 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2025-07-24T05:06:49.0425310Z 
2025-07-24T05:06:51.0262340Z Running test_cuda 1/1 ... [2025-07-24 05:06:51.026038]
2025-07-24T05:06:51.0263030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:51.0265720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:51.026336]
2025-07-24T05:06:54.1247280Z 
2025-07-24T05:06:54.1247750Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_fb6ce0fc6da542d5_.log
2025-07-24T05:06:54.1284150Z Running 214 items in this shard: test/test_cuda.py::TestCuda::test_arithmetic_large_tensor, test/test_cuda.py::TestCuda::test_batch_norm_gather_stats, test/test_cuda.py::TestCuda::test_bincount_ext, test/test_cuda.py::TestCuda::test_caching_allocator_record_stream_oom, test/test_cuda.py::TestCuda::test_caching_pinned_memory, test/test_cuda.py::TestCuda::test_check_error, test/test_cuda.py::TestCuda::test_copy_non_blocking, test/test_cuda.py::TestCuda::test_copy_non_blocking_type_conversion, test/test_cuda.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cublas_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cublas_workspace_explicit_allocation, test/test_cuda.py::TestCuda::test_cuda_get_device_capability, test/test_cuda.py::TestCuda::test_cuda_get_device_name, test/test_cuda.py::TestCuda::test_cuda_get_device_properties, test/test_cuda.py::TestCuda::test_cuda_graph_allocator_propagates_stream, test/test_cuda.py::TestCuda::test_cuda_graph_error_options, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture, test/test_cuda.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors, test/test_cuda.py::TestCuda::test_cudart_register, test/test_cuda.py::TestCuda::test_cudnn_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cudnn_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cusparse_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_device_context_manager, test/test_cuda.py::TestCuda::test_device_count_not_cached_pre_init, test/test_cuda.py::TestCuda::test_events, test/test_cuda.py::TestCuda::test_events_elapsedtime, test/test_cuda.py::TestCuda::test_fixed_cuda_assert_async, test/test_cuda.py::TestCuda::test_float32_matmul_precision_get_set, test/test_cuda.py::TestCuda::test_fp32_precision_with_float32_matmul_precision, test/test_cuda.py::TestCuda::test_fp32_precision_with_tf32, test/test_cuda.py::TestCuda::test_gather_bool, test/test_cuda.py::TestCuda::test_gds_fails_in_ci, test/test_cuda.py::TestCuda::test_generic_stream_event, test/test_cuda.py::TestCuda::test_get_device_index, test/test_cuda.py::TestCuda::test_graph_capture_oom, test/test_cuda.py::TestCuda::test_graph_capture_reset_recapture, test/test_cuda.py::TestCuda::test_graph_capture_simple, test/test_cuda.py::TestCuda::test_graph_concurrent_replay, test/test_cuda.py::TestCuda::test_graph_debugdump, test/test_cuda.py::TestCuda::test_graph_error, test/test_cuda.py::TestCuda::test_graph_is_current_stream_capturing, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_same_pool, test/test_cuda.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph, test/test_cuda.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups, test/test_cuda.py::TestCuda::test_graph_record_stream, test/test_cuda.py::TestCuda::test_graph_rng_distributions, test/test_cuda.py::TestCuda::test_graph_rng_functional, test/test_cuda.py::TestCuda::test_graph_three_successive, test/test_cuda.py::TestCuda::test_graph_timing, test/test_cuda.py::TestCuda::test_graph_two_successive, test/test_cuda.py::TestCuda::test_graph_warn_if_has_zero_nodes, test/test_cuda.py::TestCuda::test_graphsafe_set_get_rng_state, test/test_cuda.py::TestCuda::test_hip_device_count, test/test_cuda.py::TestCuda::test_hipblaslt_allow_tf32, test/test_cuda.py::TestCuda::test_index_out_of_bounds_exception_cuda, test/test_cuda.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda.py::TestCuda::test_is_pinned_no_context, test/test_cuda.py::TestCuda::test_lazy_init, test/test_cuda.py::TestCuda::test_manual_seed, test/test_cuda.py::TestCuda::test_matmul_device_mismatch, test/test_cuda.py::TestCuda::test_matmul_memory_use, test/test_cuda.py::TestCuda::test_mean_fp16, test/test_cuda.py::TestCuda::test_memory_allocation, test/test_cuda.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs, test/test_cuda.py::TestCuda::test_min_max_inits, test/test_cuda.py::TestCuda::test_multi_device_context_manager, test/test_cuda.py::TestCuda::test_multi_device_stream_context_manager, test/test_cuda.py::TestCuda::test_multinomial_ext, test/test_cuda.py::TestCuda::test_multinomial_invalid_probs_cuda, test/test_cuda.py::TestCuda::test_noncontiguous_pinned_memory, test/test_cuda.py::TestCuda::test_norm_type_conversion, test/test_cuda.py::TestCuda::test_nvtx, test/test_cuda.py::TestCuda::test_out_of_memory, test/test_cuda.py::TestCuda::test_pinned_memory_empty_cache, test/test_cuda.py::TestCuda::test_pinned_memory_use_background_threads, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister_multithread, test/test_cuda.py::TestCuda::test_preferred_blas_library_settings, test/test_cuda.py::TestCuda::test_prod_large, test/test_cuda.py::TestCuda::test_randint_generation_for_large_numel, test/test_cuda.py::TestCuda::test_randint_randomness_for_large_range, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float32, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float64, test/test_cuda.py::TestCuda::test_record_stream, test/test_cuda.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda.py::TestCuda::test_reduction_gpu_memory_accessing, test/test_cuda.py::TestCuda::test_rocm_backward_pass_guard, test/test_cuda.py::TestCuda::test_serialization_array_with_empty, test/test_cuda.py::TestCuda::test_serialization_array_with_storage, test/test_cuda.py::TestCuda::test_specify_improper_device_name, test/test_cuda.py::TestCuda::test_stream_compatibility, test/test_cuda.py::TestCuda::test_stream_context_manager, test/test_cuda.py::TestCuda::test_stream_event_repr, test/test_cuda.py::TestCuda::test_streaming_backwards_callback, test/test_cuda.py::TestCuda::test_streaming_backwards_multiple_streams, test/test_cuda.py::TestCuda::test_streaming_backwards_sync, test/test_cuda.py::TestCuda::test_streaming_backwards_sync_graph_root, test/test_cuda.py::TestCuda::test_streams, test/test_cuda.py::TestCuda::test_sum_fp16, test/test_cuda.py::TestCuda::test_tiny_half_norm_, test/test_cuda.py::TestCuda::test_to_cpu_blocking_by_default, test/test_cuda.py::TestCuda::test_to_numpy, test/test_cuda.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices, test/test_cuda.py::TestCuda::test_type_conversions, test/test_cuda.py::TestCuda::test_uuid, test/test_cuda.py::TestCudaMallocAsync::test_allocator_fuzz, test/test_cuda.py::TestCudaMallocAsync::test_allocator_settings, test/test_cuda.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc, test/test_cuda.py::TestCudaMallocAsync::test_clock_speed, test/test_cuda.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle, test/test_cuda.py::TestCudaMallocAsync::test_cycles, test/test_cuda.py::TestCudaMallocAsync::test_device_memory_used, test/test_cuda.py::TestCudaMallocAsync::test_direct_traceback, test/test_cuda.py::TestCudaMallocAsync::test_memory_compile_regions, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_history_context, test/test_cuda.py::TestCudaMallocAsync::test_memory_profiler_viz, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_script, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda.py::TestCudaMallocAsync::test_notifies_oom, test/test_cuda.py::TestCudaMallocAsync::test_nvml_get_handler, test/test_cuda.py::TestCudaMallocAsync::test_power_draw, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_count, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids, test/test_cuda.py::TestCudaMallocAsync::test_temperature, test/test_cuda.py::TestCudaMallocAsync::test_uuid_visible_devices, test/test_cuda.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint, test/test_cuda.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool, test/test_cuda.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment, test/test_cuda.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor, test/test_cuda.py::TestBlockStateAbsorption::test_check_pool_live_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_middle_allocations_contiguous, test/test_cuda.py::TestBlockStateAbsorption::test_multiple_middle_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_no_triton_on_import, test/test_cuda.py::TestBlockStateAbsorption::test_resnet, test/test_cuda.py::TestBlockStateAbsorption::test_simple, test/test_cuda.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint, test/test_cuda.py::TestMemPool::test_mempool_ctx_multithread, test/test_cuda.py::TestMemPool::test_mempool_empty_cache, test/test_cuda.py::TestMemPool::test_mempool_empty_cache_inactive, test/test_cuda.py::TestMemPool::test_mempool_emptycache_multithread, test/test_cuda.py::TestMemPool::test_mempool_expandable, test/test_cuda.py::TestMemPool::test_mempool_id, test/test_cuda.py::TestMemPool::test_mempool_multithread, test/test_cuda.py::TestMemPool::test_mempool_with_allocator, test/test_cuda.py::TestGDS::test_gds_read_write_tensors, test/test_cuda.py::TestCudaAutocast::test_autocast_banned, test/test_cuda.py::TestCudaAutocast::test_autocast_cache_leak, test/test_cuda.py::TestCudaAutocast::test_autocast_cat_jit, test/test_cuda.py::TestCudaAutocast::test_autocast_checkpointing, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_cast_inputs, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_deprecated_warning, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_enabled, test/test_cuda.py::TestCudaAutocast::test_autocast_ignored_types, test/test_cuda.py::TestCudaAutocast::test_autocast_linalg_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_rnn, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_need_autocast_promote, test/test_cuda.py::TestCudaAutocast::test_cuda_autocast_deprecated_warning, test/test_cuda.py::TestCompileKernel::test_compile_kernel, test/test_cuda.py::TestCompileKernel::test_compile_kernel_advanced, test/test_cuda.py::TestCompileKernel::test_compile_kernel_as_custom_op, test/test_cuda.py::TestCompileKernel::test_compile_kernel_custom_op_validation, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adagrad_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_ASGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adadelta_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adamax_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_NAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RMSprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Rprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_SGD_cpu_float32, test/test_cuda.py::TestCudaDeviceParametrizedCPU::test_graph_external_wait_and_record_cpu
2025-07-24T05:06:54.1319010Z 
2025-07-24T05:06:56.1712810Z Running test_sparse 1/1 ... [2025-07-24 05:06:56.171104]
2025-07-24T05:06:56.1713520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:06:56.1715710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:06:56.171384]
2025-07-24T05:07:35.9763340Z 
2025-07-24T05:07:35.9763880Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_5c58dec9806b25cf_.log
2025-07-24T05:07:36.6815470Z Running 24601 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_big_number_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_silu_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sigmoid_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_assert_raises_cpu, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_uint8, 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2025-07-24T05:07:37.3697580Z 
2025-07-24T05:07:38.1414900Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-07-24 05:07:38.141333]
2025-07-24T05:07:38.1415280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:07:38.1417500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:07:38.141627]
2025-07-24T05:07:41.7325070Z 
2025-07-24T05:07:41.7325710Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_10fd428a342697be_.log
2025-07-24T05:07:41.7466190Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_empty_dim, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_no_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_sequence, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_correct_quantile_value, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_max_ulp, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_hypo, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_averaged_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_closest_observation, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_hazen, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_higher, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_interpolated_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_linear, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_lower, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_median_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_midpoint, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_nearest, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_normal_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_weibull, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_scalar_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_axis_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_overwrite_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_B_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_H_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_b_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_g_type_out_G, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_h_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D
2025-07-24T05:07:41.7600610Z 
2025-07-24T05:07:43.7732820Z Running torch_np/test_indexing 1/1 ... [2025-07-24 05:07:43.773129]
2025-07-24T05:07:43.7733160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:07:43.7737160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:07:43.773436]
2025-07-24T05:07:47.2523430Z 
2025-07-24T05:07:47.2524070Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_d31d263cb790e98b_.log
2025-07-24T05:07:47.2526350Z Running 5 items in this shard: test/torch_np/test_indexing.py::TestAdvancedIndexing::test_advanced_separation_patterns, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_broadcast_and_numpy_compatibility, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_comprehensive_indexing, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_ellipsis, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_special_index_types
2025-07-24T05:07:47.2527770Z 
2025-07-24T05:07:49.2257040Z Running optim/test_lrscheduler 1/1 ... [2025-07-24 05:07:49.225492]
2025-07-24T05:07:49.2258510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:07:49.2260520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:07:49.225791]
2025-07-24T05:07:51.1018320Z 
2025-07-24T05:07:51.1018990Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_cbf2d1b8054388af_.log
2025-07-24T05:07:51.1019680Z 
2025-07-24T05:07:53.1463750Z Running test_jit 1/1 ... [2025-07-24 05:07:53.146217]
2025-07-24T05:07:53.1464540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:07:53.1466640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:07:53.146504]
2025-07-24T05:08:36.5692300Z 
2025-07-24T05:08:36.5693290Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_d89b787a93113dcc_.log
2025-07-24T05:08:36.6105760Z Running 2458 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, 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test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, 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test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, 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test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, 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test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_hasattr, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, test/test_jit.py::TestUpgraders::test_aten_linspace, test/test_jit.py::TestUpgraders::test_aten_linspace_out, test/test_jit.py::TestUpgraders::test_aten_logspace, test/test_jit.py::TestUpgraders::test_aten_logspace_out, test/test_jit.py::TestUpgraders::test_aten_test_serialization, test/test_jit.py::TestUpgraders::test_populated_test_upgrader_graph, test/test_jit.py::TestUpgraders::test_populated_upgrader_graph, test/test_jit.py::TestTensorCreationOps::test_randperm_default_dtype, test/test_jit.py::TestTensorCreationOps::test_randperm_specifed_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_specified_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_specified_dtype, test/test_jit.py::TestModuleAPIs::test_customized_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_default_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_submodule_customized_state_dict_methods, test/test_jit.py::TestScriptProfile::test_basic, test/test_jit.py::TestScriptProfile::test_empty, test/test_jit.py::TestScriptProfile::test_multi, test/test_jit.py::TestScriptProfile::test_script, test/test_jit.py::TestScriptProfile::test_section, test/test_jit.py::TestFunctionalToInplaceActivation::test_check_no_type_promotion, test/test_jit.py::TestFunctionalToInplaceActivation::test_functional_to_inplace_activation, test/test_jit.py::TestFunctionalToInplaceActivation::test_no_functional_to_inplace, test/test_jit.py::TestFunctionalToInplaceActivation::test_resnet18_correctness, test/test_jit.py::TestInplaceToFunctionalActivation::test_inplace_to_functional_activation, test/test_jit.py::TestInplaceToFunctionalActivation::test_resnet18_correctness, test/test_jit.py::TestParametrization::test_scriptable, test/test_jit.py::TestParametrization::test_traceable, test/test_jit.py::TestGetDefaultAttr::test_getattr_named_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_with_default, test/test_jit.py::TestAtenPow::test_aten_pow_zero_negative_exponent, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_1, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_2, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_3, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_4, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_before_inline_and_conv_2d_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_replace_conv1d_with_conv2d, test/test_jit.py::TestUnion::test_check_union_annotation, test/test_jit.py::TestUnion::test_union_T_None_is_equivalent_to_optional_T, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored_container, test/test_jit.py::TestUnion::test_union_as_annotation, test/test_jit.py::TestUnion::test_union_as_annotation_in_typed_container, test/test_jit.py::TestUnion::test_union_as_annotation_py2, test/test_jit.py::TestUnion::test_union_as_dict_key, test/test_jit.py::TestUnion::test_union_as_dict_value, test/test_jit.py::TestUnion::test_union_as_internal_tuple_type, test/test_jit.py::TestUnion::test_union_branching_does_not_autoinfer_undeclared_union, test/test_jit.py::TestUnion::test_union_branching_does_not_widen_existing_inferred_type, test/test_jit.py::TestUnion::test_union_branching_with_union_return_and_homogenous_types, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_empty_container, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_union, test/test_jit.py::TestUnion::test_union_in_class_constructor, test/test_jit.py::TestUnion::test_union_memory_aliasing, test/test_jit.py::TestUnion::test_union_module_with_union_class_variable, test/test_jit.py::TestUnion::test_union_module_with_union_instance_variable, test/test_jit.py::TestUnion::test_union_optional_of_union_is_flattened, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_container, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_optional, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_subtyping, test/test_jit.py::TestUnion::test_union_return_type, test/test_jit.py::TestUnion::test_union_schema_matching_on_internal_type, test/test_jit.py::TestUnion::test_union_serialization_preserves_type_annotations, test/test_jit.py::TestUnion::test_union_subclasses_larger_union, test/test_jit.py::TestUnion::test_union_subtractive_refinement, test/test_jit.py::TestUnion::test_union_subtractive_refinement_with_container, test/test_jit.py::TestUnion::test_union_type_refinement, test/test_jit.py::TestUnion::test_union_type_refinement_internal_declaration, test/test_jit.py::TestUnion::test_union_type_refinement_partial_static_refinement_tuple_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_partial_static_refinement_union_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_statically_false, test/test_jit.py::TestUnion::test_union_type_refinement_statically_true, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs_noncontained_type, test/test_jit.py::TestUnion::test_union_type_refinement_tuple_rhs_union, test/test_jit.py::TestUnion::test_union_type_refinement_union_rhs, test/test_jit.py::TestUnion::test_union_variable_can_be_reassigned, test/test_jit.py::TestUnion::test_union_with_collections, test/test_jit.py::TestUnion::test_union_with_dict_assignment, test/test_jit.py::TestUnion::test_union_with_enum, test/test_jit.py::TestUnion::test_union_with_list_assignment, test/test_jit.py::TestUnion::test_union_with_scalar_values, test/test_jit.py::TestUnion::test_unions_of_a_single_argument_vanish, test/test_jit.py::TestUnion::test_unions_of_unions_are_flattened, test/test_jit.py::TestBatchMM::test_batch_mm_no_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_if_node, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_multiple_adds, test/test_jit.py::TestBatchMM::test_batch_mm_side_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_common_side, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_uncommon_side, test/test_jit.py::TestDtypeAnalysis::test_binary_scalar, test/test_jit.py::TestDtypeAnalysis::test_binary_tensors, test/test_jit.py::TestDtypeAnalysis::test_combined, test/test_jit.py::TestDtypeAnalysis::test_conv_no_mixed_args, test/test_jit.py::TestDtypeAnalysis::test_custom_rules, test/test_jit.py::TestDtypeAnalysis::test_unary, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float32, 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test/test_jit.py::TestScript::test_unused_decorator, test/test_jit.py::TestScript::test_unwrap_optional_builtin, test/test_jit.py::TestScript::test_var_aug_assign, test/test_jit.py::TestScript::test_vararg_zeros, test/test_jit.py::TestScript::test_view_listconstruct_shape_prop, test/test_jit.py::TestScript::test_view_shape_prop, test/test_jit.py::TestScript::test_view_write, test/test_jit.py::TestScript::test_weak_cuda, test/test_jit.py::TestScript::test_where, test/test_jit.py::TestScript::test_where_method, test/test_jit.py::TestScript::test_while, test/test_jit.py::TestScript::test_while_nest_if, test/test_jit.py::TestScript::test_while_nonexistent_cond_value, test/test_jit.py::TestScript::test_while_nonexistent_value, test/test_jit.py::TestScript::test_while_write_outer_then_read, test/test_jit.py::TestScript::test_wrong_attr_lookup, test/test_jit.py::TestScript::test_wrong_implicit_expand, test/test_jit.py::TestScript::test_wrong_method_call_inputs, test/test_jit.py::TestScript::test_wrong_module_attr_lookup, test/test_jit.py::TestScript::test_wrong_return_type, test/test_jit.py::TestScript::test_wrong_use_as_callable, test/test_jit.py::TestScript::test_wrong_use_as_tuple, test/test_jit.py::TestScript::test_zero_dimension_tensor_trace, test/test_jit.py::TestScript::test_zeros, test/test_jit.py::TestScript::test_zip_enumerate_modulelist, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_legacy_enum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_Bilinear, test/test_jit.py::TestJitGeneratedModule::test_nn_CELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_padded, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_with_multiplier, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups_thnn, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_1x1x1_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_CrossMapLRN2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_GELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GRUCell, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardsigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardswish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardtanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_delta, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiheadAttention, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_zero_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_Softplus_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softsign_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanhshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Threshold_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer_multilayer_coder, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Unflatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version
2025-07-24T05:08:36.6504090Z 
2025-07-24T05:08:38.5804390Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-07-24 05:08:38.580225]
2025-07-24T05:08:38.5804830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:08:38.5806390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:08:38.580514]
2025-07-24T05:08:40.9649060Z 
2025-07-24T05:08:40.9650190Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_436ed68804d0e0db_.log
2025-07-24T05:08:40.9668070Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic
2025-07-24T05:08:40.9685360Z 
2025-07-24T05:08:42.9709890Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-07-24 05:08:42.970829]
2025-07-24T05:08:42.9710280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:08:42.9714070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:08:42.971184]
2025-07-24T05:08:45.2364170Z 
2025-07-24T05:08:45.2365240Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_f66bed008d1cc821_.log
2025-07-24T05:08:45.2378890Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray
2025-07-24T05:08:45.2389350Z 
2025-07-24T05:08:47.2722930Z Running lazy/test_reuse_ir 1/1 ... [2025-07-24 05:08:47.272112]
2025-07-24T05:08:47.2723630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:08:47.2726930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:08:47.272403]
2025-07-24T05:08:49.6876980Z 
2025-07-24T05:08:49.6877660Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_7a5ef1fc32361f85_.log
2025-07-24T05:08:49.6879040Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm
2025-07-24T05:08:49.6879840Z 
2025-07-24T05:08:51.7520680Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-07-24 05:08:51.751901]
2025-07-24T05:08:51.7521120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:08:51.7523260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:08:51.752215]
2025-07-24T05:08:54.1866210Z 
2025-07-24T05:08:54.1867500Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_64332bce37ade3b6_.log
2025-07-24T05:08:54.1882220Z Running 60 items in this shard: test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_arr_weights_mismatch, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_big_arrays, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_array_dims, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_edge_cases, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bool_conversion, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_density, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_error_binnum_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_exotic_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_f32_rounding, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_histogram_bin_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_invalid_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_last_bin_inclusive_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_no_side_effects, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_object_array_of_0d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_one_bin, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_outliers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_precision, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_some_nan_values, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_unsigned_monotonicity_check, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_incorrect_methods, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_limited_variance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_novariance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_outlier, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_scott_vs_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_auto, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_doane, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_fd, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_rice, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_scott, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_sturges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_weighted, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_small, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_array, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_error_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_errors, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_1d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_2d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_edge_dtype, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_equal_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_identical_samples, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_inf_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_large_integers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_rightmost_binedge, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_3d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_4d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_weights
2025-07-24T05:08:54.1896130Z 
2025-07-24T05:08:56.1572200Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-07-24 05:08:56.157038]
2025-07-24T05:08:56.1572710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:08:56.1574430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:08:56.157335]
2025-07-24T05:09:01.3340510Z 
2025-07-24T05:09:01.3341930Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_b9632618462b66a9_.log
2025-07-24T05:09:01.3405490Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_identity, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVD::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSVDHermitian::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_basic_nonsvd, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_nan, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCond::test_stacked_singular, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_zero, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_0_n_rhs_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_0_n_4_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_0_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_a_b_m_4_n_2_n_rhs_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_nonsq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestLstsq::test_empty_sq_cases, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvalsh::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEighCases::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_UPLO, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_invalid, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigh::test_types_dtype1, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype
2025-07-24T05:09:01.3468600Z 
2025-07-24T05:09:03.3301350Z Running test_dataloader 1/2 ... [2025-07-24 05:09:03.330034]
2025-07-24T05:09:03.3301650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-07-24T05:09:03.3304260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-24 05:09:03.330329]
2025-07-24T05:09:44.5028480Z 
2025-07-24T05:09:44.5029520Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_8819a600167f91d8_.log
2025-07-24T05:09:44.5797360Z Running 3054 items in this shard: test/test_sparse.py::TestSparseLegacyAndDeprecation::test_legacy_warnings, test/test_sparse.py::TestSparseOneOff::test_cuda_from_cpu, test/test_sparse.py::TestSparseOneOff::test_cuda_sparse_cpu_dense_add, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCSC_float64, 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2025-07-24T05:09:44.6533880Z 
2025-07-24T05:12:27.7254740Z 
2025-07-24T05:12:27.7255230Z test_decomp 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.4_17b40767861ab052_.log
2025-07-24T05:12:27.7677780Z Running 2271 items in this shard: test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_det_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_slogdet_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_slogdet_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_ex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logcumsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logdet_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logdet_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rad2deg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float64, 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2025-07-24T05:12:27.8072080Z 
2025-07-24T05:18:35.6180350Z 
2025-07-24T05:18:35.6180870Z test_dataloader 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.2_a006c3ef1fc97380_.log
2025-07-24T05:18:35.6201960Z Running 95 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_incomplete_fractional_splits, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_subset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_are_mutually_exclusive, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_indexing_type, test/test_dataloader.py::TestTensorDataset::test_getitem, test/test_dataloader.py::TestTensorDataset::test_len, test/test_dataloader.py::TestTensorDataset::test_many_tensors, test/test_dataloader.py::TestStackDataset::test_getitem, test/test_dataloader.py::TestStackDataset::test_getitems, test/test_dataloader.py::TestStackDataset::test_getitems_raises_index_error, test/test_dataloader.py::TestStackDataset::test_getitems_value_error, test/test_dataloader.py::TestStackDataset::test_mixed, test/test_dataloader.py::TestStackDataset::test_single, test/test_dataloader.py::TestStackDataset::test_size_mismatch, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons, test/test_dataloader.py::TestConcatDataset::test_concat_two_non_singletons_with_empty, test/test_dataloader.py::TestConcatDataset::test_iterable_dataset_err, test/test_dataloader.py::TestDataLoader::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_numpy_types, test/test_dataloader.py::TestDataLoader::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoader::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoader::test_error, test/test_dataloader.py::TestDataLoader::test_error_in_init, 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test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_dtype, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_dont_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_duplicating_data_with_drop_last, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_get_worker_info, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_iterabledataset_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_large_sampler_indices, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_scalars, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_partial_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_seqential_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_timeout, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_init_fn, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed_reproducibility, test/test_dataloader.py::TestNamedTupleDataLoader::test_dataloader_with_namedtuple, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin, test/test_dataloader.py::TestConvAfterFork::test_conv_after_fork, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_index_ds, test/test_dataloader.py::TestOutOfOrderDataLoader::test_out_of_order_iterable_ds, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_spawn_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_fork_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_forkserver_cpu
2025-07-24T05:18:35.6222050Z 
2025-07-24T05:18:36.0722680Z Running test batch 'tests to run' cost 4624.78 seconds
2025-07-24T05:18:36.4896610Z 
2025-07-24T05:18:36.4896920Z real	77m8.352s
2025-07-24T05:18:36.4897100Z user	176m45.158s
2025-07-24T05:18:36.4897250Z sys	26m25.314s
2025-07-24T05:18:36.4897400Z + assert_git_not_dirty
2025-07-24T05:18:36.4897580Z + [[ macos-py3-arm64 != *rocm* ]]
2025-07-24T05:18:36.4897780Z + [[ macos-py3-arm64 != *xla* ]]
2025-07-24T05:18:36.4904590Z ++ git status --porcelain
2025-07-24T05:18:36.4905310Z ++ grep -v '?? third_party'
2025-07-24T05:18:40.8311360Z ++ true
2025-07-24T05:18:40.8312830Z + git_status=
2025-07-24T05:18:40.8313000Z + [[ -n '' ]]
2025-07-24T05:18:40.8313260Z + [[ 1 == 1 ]]
2025-07-24T05:18:40.8314230Z + test_libtorch
2025-07-24T05:18:40.8314390Z + [[ 0 == \1 ]]
2025-07-24T05:18:40.8314530Z + test_custom_script_ops
2025-07-24T05:18:40.8314700Z + print_cmake_info
2025-07-24T05:18:40.8317160Z ++ which cmake
2025-07-24T05:18:40.8329850Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/cmake
2025-07-24T05:18:40.8330290Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/cmake
2025-07-24T05:18:40.8330650Z + echo /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/cmake
2025-07-24T05:18:40.8332920Z ++ dirname /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/cmake
2025-07-24T05:18:40.8395600Z + CONDA_INSTALLATION_DIR=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin
2025-07-24T05:18:40.8396080Z + ls -la /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/../lib
2025-07-24T05:18:40.8496260Z total 0
2025-07-24T05:18:40.8496760Z drwxr-xr-x  3 ec2-user  staff   96 Jul 24 04:00 .
2025-07-24T05:18:40.8497020Z drwxr-xr-x  8 ec2-user  staff  256 Jul 24 04:01 ..
2025-07-24T05:18:40.8497280Z drwxr-xr-x  3 ec2-user  staff   96 Jul 24 04:00 python3.12
2025-07-24T05:18:40.8497560Z + echo 'Testing custom script operators'
2025-07-24T05:18:40.8497780Z + pushd test/custom_operator
2025-07-24T05:18:40.8497970Z Testing custom script operators
2025-07-24T05:18:40.8498160Z + rm -rf build
2025-07-24T05:18:40.8498430Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-07-24T05:18:40.8527560Z + mkdir build
2025-07-24T05:18:40.8548850Z + pushd build
2025-07-24T05:18:40.8549290Z ~/runner/_work/pytorch/pytorch/test/custom_operator/build ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-07-24T05:18:40.8552380Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())'
2025-07-24T05:18:40.9415120Z + SITE_PACKAGES=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages
2025-07-24T05:18:40.9415690Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch
2025-07-24T05:18:40.9416160Z + /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/bin/cmake ..
2025-07-24T05:18:41.2503860Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-07-24T05:18:41.3139060Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-07-24T05:18:41.3484270Z -- Detecting C compiler ABI info
2025-07-24T05:18:41.4881380Z -- Detecting C compiler ABI info - done
2025-07-24T05:18:41.4917950Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-07-24T05:18:41.4926940Z -- Detecting C compile features
2025-07-24T05:18:41.4935850Z -- Detecting C compile features - done
2025-07-24T05:18:41.5148260Z -- Detecting CXX compiler ABI info
2025-07-24T05:18:41.6130560Z -- Detecting CXX compiler ABI info - done
2025-07-24T05:18:41.6168230Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-07-24T05:18:41.6170320Z -- Detecting CXX compile features
2025-07-24T05:18:41.6173760Z -- Detecting CXX compile features - done
2025-07-24T05:18:41.6639610Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-07-24T05:18:41.6640190Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-07-24T05:18:41.6640440Z Call Stack (most recent call first):
2025-07-24T05:18:41.6640960Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-07-24T05:18:41.6641450Z   CMakeLists.txt:9 (find_package)
2025-07-24T05:18:41.6641580Z 
2025-07-24T05:18:41.6641590Z 
2025-07-24T05:18:41.6643040Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-07-24T05:18:41.6644610Z -- Configuring done (0.5s)
2025-07-24T05:18:41.6781670Z -- Generating done (0.0s)
2025-07-24T05:18:41.6808680Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build
2025-07-24T05:18:41.6847750Z + make VERBOSE=1
2025-07-24T05:18:41.6901250Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -S/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator -B/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build --check-build-system CMakeFiles/Makefile.cmake 0
2025-07-24T05:18:41.6949740Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build//CMakeFiles/progress.marks
2025-07-24T05:18:41.6987440Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/Makefile2 all
2025-07-24T05:18:41.7001920Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/depend
2025-07-24T05:18:41.7017370Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/custom_ops.dir/DependInfo.cmake "--color="
2025-07-24T05:18:41.7079810Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/build
2025-07-24T05:18:41.7148290Z [ 25%] Building CXX object CMakeFiles/custom_ops.dir/op.cpp.o
2025-07-24T05:18:41.7151540Z /Library/Developer/CommandLineTools/usr/bin/clang++ -Dcustom_ops_EXPORTS -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -fPIC -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/custom_ops.dir/op.cpp.o -MF CMakeFiles/custom_ops.dir/op.cpp.o.d -o CMakeFiles/custom_ops.dir/op.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/op.cpp
2025-07-24T05:18:45.7014580Z [ 50%] Linking CXX shared library libcustom_ops.dylib
2025-07-24T05:18:45.7016060Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/custom_ops.dir/link.txt --verbose=1
2025-07-24T05:18:45.7053740Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -dynamiclib -Wl,-headerpad_max_install_names -o libcustom_ops.dylib -install_name @rpath/libcustom_ops.dylib CMakeFiles/custom_ops.dir/op.cpp.o -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libc10.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate 
2025-07-24T05:18:45.8164000Z [ 50%] Built target custom_ops
2025-07-24T05:18:45.8165490Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/depend
2025-07-24T05:18:45.8182780Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake "--color="
2025-07-24T05:18:45.8242400Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/build
2025-07-24T05:18:45.8309440Z [ 75%] Building CXX object CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o
2025-07-24T05:18:45.8312800Z /Library/Developer/CommandLineTools/usr/bin/clang++  -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -MF CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d -o CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/test_custom_ops.cpp
2025-07-24T05:18:49.3651940Z [100%] Linking CXX executable test_custom_ops
2025-07-24T05:18:49.3653480Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/test_custom_ops.dir/link.txt --verbose=1
2025-07-24T05:18:49.3691490Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -Wl,-search_paths_first -Wl,-headerpad_max_install_names CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -o test_custom_ops -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib libcustom_ops.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/lib/libc10.dylib 
2025-07-24T05:18:49.4567840Z [100%] Built target test_custom_ops
2025-07-24T05:18:49.4571120Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles 0
2025-07-24T05:18:49.4611340Z + popd
2025-07-24T05:18:49.4611510Z + python test_custom_ops.py -v
2025-07-24T05:18:49.4611840Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-07-24T05:18:50.9355960Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/pointwise.py:11: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-07-24T05:18:50.9357510Z   @torch.library.impl_abstract("custom::cos")
2025-07-24T05:18:50.9618860Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/pointwise.py:17: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-07-24T05:18:50.9620160Z   @torch.library.impl_abstract("custom::tan")
2025-07-24T05:18:50.9688150Z 
2025-07-24T05:18:50.9688250Z Running tests...
2025-07-24T05:18:50.9688510Z ----------------------------------------------------------------------
2025-07-24T05:18:50.9688920Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-07-24T05:18:51.1187780Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators.test_abstract_impl_pystub_faketensor) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-07-24T05:18:51.1188890Z   @torch.library.impl_abstract("custom::nonzero")
2025-07-24T05:18:51.1323410Z /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-07-24T05:18:51.1323970Z   nnz = ctx.create_unbacked_symint()
2025-07-24T05:18:51.1362950Z ok (0.167s)
2025-07-24T05:18:51.1379990Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators.test_abstract_impl_pystub_meta) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops2.py:9: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
2025-07-24T05:18:51.1381010Z   @torch.library.impl_abstract("custom::sin")
2025-07-24T05:18:51.1389490Z ok (0.003s)
2025-07-24T05:18:51.1396900Z   test_calling_custom_op (__main__.TestCustomOperators.test_calling_custom_op) ... ok (0.001s)
2025-07-24T05:18:51.1596030Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators.test_calling_custom_op_inside_script_module) ... ok (0.020s)
2025-07-24T05:18:51.1599600Z   test_calling_custom_op_string (__main__.TestCustomOperators.test_calling_custom_op_string) ... ok (0.000s)
2025-07-24T05:18:51.1611140Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators.test_calling_custom_op_with_autograd) ... /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages/torch/autograd/graph.py:829: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/torch/csrc/autograd/engine.cpp:1296.)
2025-07-24T05:18:51.1613040Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-07-24T05:18:51.1615340Z ok (0.002s)
2025-07-24T05:18:51.1618840Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators.test_calling_custom_op_with_autograd_in_nograd_mode) ... ok (0.000s)
2025-07-24T05:18:51.1620280Z   test_custom_library_is_loaded (__main__.TestCustomOperators.test_custom_library_is_loaded) ... ok (0.000s)
2025-07-24T05:18:51.1861750Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators.test_dynamo_pystub_suggestion) ... ok (0.024s)
2025-07-24T05:18:51.1866330Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_incorrect_abstract_impl_pystub) ... ok (0.000s)
2025-07-24T05:18:51.1869280Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_no_abstract_impl_pystub) ... ok (0.000s)
2025-07-24T05:18:51.1919720Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators.test_saving_and_loading_script_module_with_custom_op) ... ok (0.005s)
2025-07-24T05:18:51.1920200Z 
2025-07-24T05:18:51.1920380Z ----------------------------------------------------------------------
2025-07-24T05:18:51.1920620Z Ran 12 tests in 0.223s
2025-07-24T05:18:51.1920790Z 
2025-07-24T05:18:51.1920840Z OK
2025-07-24T05:18:51.1920910Z 
2025-07-24T05:18:51.1920970Z Generating XML reports...
2025-07-24T05:18:51.2018890Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20250724051850.xml
2025-07-24T05:18:51.5283920Z + python model.py --export-script-module=model.pt
2025-07-24T05:18:52.2957110Z + build/test_custom_ops ./model.pt
2025-07-24T05:18:52.4943080Z [W724 05:18:52.694002000 engine.cpp:1296] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-07-24T05:18:52.5603750Z ok
2025-07-24T05:18:52.5617510Z + popd
2025-07-24T05:18:52.5617660Z ~/runner/_work/pytorch/pytorch
2025-07-24T05:18:52.5617870Z + assert_git_not_dirty
2025-07-24T05:18:52.5618050Z + [[ macos-py3-arm64 != *rocm* ]]
2025-07-24T05:18:52.5618240Z + [[ macos-py3-arm64 != *xla* ]]
2025-07-24T05:18:52.5624010Z ++ git status --porcelain
2025-07-24T05:18:52.5625360Z ++ grep -v '?? third_party'
2025-07-24T05:18:53.0205080Z ++ true
2025-07-24T05:18:53.0206330Z + git_status=
2025-07-24T05:18:53.0206490Z + [[ -n '' ]]
2025-07-24T05:18:53.0276790Z ##[group]Run cat test/**/*_toprint.log || true
2025-07-24T05:18:53.0277030Z cat test/**/*_toprint.log || true
2025-07-24T05:18:53.1057630Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:18:53.1057850Z env:
2025-07-24T05:18:53.1057990Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:53.1058160Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:53.1058350Z   TEST_CONFIG: default
2025-07-24T05:18:53.1058490Z   SHARD_NUMBER: 1
2025-07-24T05:18:53.1058620Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:53.1058760Z   PR_BODY: 
2025-07-24T05:18:53.1058880Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:53.1059120Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:53.1059360Z ##[endgroup]
2025-07-24T05:18:53.1510450Z cat: test/**/*_toprint.log: No such file or directory
2025-07-24T05:18:53.1607090Z Prepare all required actions
2025-07-24T05:18:53.1607370Z Getting action download info
2025-07-24T05:18:53.3068050Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-07-24T05:18:53.4793170Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-07-24T05:18:53.7367790Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-07-24T05:18:53.7368040Z with:
2025-07-24T05:18:53.7368160Z   use-gha: true
2025-07-24T05:18:53.7368360Z   file-suffix: test-default-1-3-macos-m1-stable_46614827190
2025-07-24T05:18:53.7368600Z   s3-bucket: gha-artifacts
2025-07-24T05:18:53.7368750Z env:
2025-07-24T05:18:53.7368880Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:53.7369050Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:53.7369230Z   TEST_CONFIG: default
2025-07-24T05:18:53.7369370Z   SHARD_NUMBER: 1
2025-07-24T05:18:53.7369500Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:53.7369650Z   PR_BODY: 
2025-07-24T05:18:53.7369780Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:53.7370020Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:53.7370260Z ##[endgroup]
2025-07-24T05:18:53.7418220Z ##[group]Run actions/upload-artifact@v4
2025-07-24T05:18:53.7418400Z with:
2025-07-24T05:18:53.7418650Z   name: test-jsons-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip
2025-07-24T05:18:53.7418940Z   retention-days: 14
2025-07-24T05:18:53.7419220Z   if-no-files-found: warn
2025-07-24T05:18:53.7419380Z   path: test/**/*.json
2025-07-24T05:18:53.7419520Z   compression-level: 6
2025-07-24T05:18:53.7419670Z   overwrite: false
2025-07-24T05:18:53.7419810Z   include-hidden-files: false
2025-07-24T05:18:53.7419970Z env:
2025-07-24T05:18:53.7420170Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:53.7420330Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:53.7420510Z   TEST_CONFIG: default
2025-07-24T05:18:53.7420660Z   SHARD_NUMBER: 1
2025-07-24T05:18:53.7420800Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:53.7420950Z   PR_BODY: 
2025-07-24T05:18:53.7421080Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:53.7421330Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:53.7421570Z ##[endgroup]
2025-07-24T05:18:54.1684200Z With the provided path, there will be 6 files uploaded
2025-07-24T05:18:54.1688100Z Artifact name is valid!
2025-07-24T05:18:54.1688830Z Root directory input is valid!
2025-07-24T05:18:54.2268150Z Beginning upload of artifact content to blob storage
2025-07-24T05:18:54.2815010Z Uploaded bytes 45847
2025-07-24T05:18:54.2964990Z Finished uploading artifact content to blob storage!
2025-07-24T05:18:54.2966670Z SHA256 digest of uploaded artifact zip is 8421337eb0beb47d4b1757cb9a00187505ca65fd02547547a59d84431ead39f5
2025-07-24T05:18:54.2967550Z Finalizing artifact upload
2025-07-24T05:18:54.3590110Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip.zip successfully finalized. Artifact ID 3603265767
2025-07-24T05:18:54.3591530Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip has been successfully uploaded! Final size is 45847 bytes. Artifact ID is 3603265767
2025-07-24T05:18:54.3606160Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16487210679/artifacts/3603265767
2025-07-24T05:18:54.3725150Z ##[group]Run actions/upload-artifact@v4
2025-07-24T05:18:54.3725480Z with:
2025-07-24T05:18:54.3725940Z   name: test-reports-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip
2025-07-24T05:18:54.3726550Z   retention-days: 14
2025-07-24T05:18:54.3726840Z   if-no-files-found: ignore
2025-07-24T05:18:54.3727140Z   path: test/**/*.xml
test/**/*.csv

2025-07-24T05:18:54.3727480Z   compression-level: 6
2025-07-24T05:18:54.3727740Z   overwrite: false
2025-07-24T05:18:54.3728030Z   include-hidden-files: false
2025-07-24T05:18:54.3728330Z env:
2025-07-24T05:18:54.3728570Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:54.3729260Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:54.3729620Z   TEST_CONFIG: default
2025-07-24T05:18:54.3729880Z   SHARD_NUMBER: 1
2025-07-24T05:18:54.3730130Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:54.3730380Z   PR_BODY: 
2025-07-24T05:18:54.3730650Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:54.3731080Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:54.3731490Z ##[endgroup]
2025-07-24T05:18:54.7785400Z With the provided path, there will be 274 files uploaded
2025-07-24T05:18:54.7788180Z Artifact name is valid!
2025-07-24T05:18:54.7788600Z Root directory input is valid!
2025-07-24T05:18:54.8389450Z Beginning upload of artifact content to blob storage
2025-07-24T05:18:55.2441720Z Uploaded bytes 975823
2025-07-24T05:18:55.2590150Z Finished uploading artifact content to blob storage!
2025-07-24T05:18:55.2591980Z SHA256 digest of uploaded artifact zip is e4dc9ab1eba65cba98af3c12cc0130fae37f80bebb22a2074dcac42320f0d734
2025-07-24T05:18:55.2592950Z Finalizing artifact upload
2025-07-24T05:18:55.3236300Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip.zip successfully finalized. Artifact ID 3603265818
2025-07-24T05:18:55.3238310Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip has been successfully uploaded! Final size is 975823 bytes. Artifact ID is 3603265818
2025-07-24T05:18:55.3255670Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16487210679/artifacts/3603265818
2025-07-24T05:18:55.3385040Z ##[group]Run actions/upload-artifact@v4
2025-07-24T05:18:55.3385490Z with:
2025-07-24T05:18:55.3386000Z   name: logs-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip
2025-07-24T05:18:55.3386610Z   retention-days: 14
2025-07-24T05:18:55.3386950Z   if-no-files-found: ignore
2025-07-24T05:18:55.3387500Z   path: usage_log.txt
test/**/*.log

2025-07-24T05:18:55.3387910Z   compression-level: 6
2025-07-24T05:18:55.3388250Z   overwrite: false
2025-07-24T05:18:55.3388580Z   include-hidden-files: false
2025-07-24T05:18:55.3388950Z env:
2025-07-24T05:18:55.3389220Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:55.3389610Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:55.3390010Z   TEST_CONFIG: default
2025-07-24T05:18:55.3390320Z   SHARD_NUMBER: 1
2025-07-24T05:18:55.3390630Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:55.3390940Z   PR_BODY: 
2025-07-24T05:18:55.3391220Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:55.3391750Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:55.3392280Z ##[endgroup]
2025-07-24T05:18:55.7589250Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-07-24T05:18:55.7590380Z The least common ancestor is /Users/ec2-user/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-07-24T05:18:55.7590880Z With the provided path, there will be 315 files uploaded
2025-07-24T05:18:55.7593280Z Artifact name is valid!
2025-07-24T05:18:55.7593790Z Root directory input is valid!
2025-07-24T05:18:55.8166670Z Beginning upload of artifact content to blob storage
2025-07-24T05:18:56.2716700Z Uploaded bytes 1471677
2025-07-24T05:18:56.2877690Z Finished uploading artifact content to blob storage!
2025-07-24T05:18:56.2879890Z SHA256 digest of uploaded artifact zip is b977a38284ab9a9707dc9162bb5aec7d3930eb7af6b7e4fa9a5be822f88d18d4
2025-07-24T05:18:56.2880900Z Finalizing artifact upload
2025-07-24T05:18:56.3653570Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip.zip successfully finalized. Artifact ID 3603265880
2025-07-24T05:18:56.3655930Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_46614827190.zip has been successfully uploaded! Final size is 1471677 bytes. Artifact ID is 3603265880
2025-07-24T05:18:56.3675090Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16487210679/artifacts/3603265880
2025-07-24T05:18:56.3933680Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-07-24T05:18:56.3934320Z with:
2025-07-24T05:18:56.3934660Z   benchmark-results-dir: test/test-reports
2025-07-24T05:18:56.3935090Z   dry-run: false
2025-07-24T05:18:56.3935400Z   schema-version: v3
2025-07-24T05:18:56.3936190Z   github-token: ***
2025-07-24T05:18:56.3936500Z env:
2025-07-24T05:18:56.3936790Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:56.3937190Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:56.3937600Z   TEST_CONFIG: default
2025-07-24T05:18:56.3937940Z   SHARD_NUMBER: 1
2025-07-24T05:18:56.3938260Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:56.3938560Z   PR_BODY: 
2025-07-24T05:18:56.3938860Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:56.3939410Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:56.3939940Z ##[endgroup]
2025-07-24T05:18:56.3962600Z ##[group]Run set -eux
2025-07-24T05:18:56.3962930Z set -eux
2025-07-24T05:18:56.3963400Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-07-24T05:18:56.3963890Z 
2025-07-24T05:18:56.3964130Z DEVICE_NAME=""
2025-07-24T05:18:56.3964430Z DEVICE_TYPE=""
2025-07-24T05:18:56.3964710Z 
2025-07-24T05:18:56.3964970Z if command -v nvidia-smi; then
2025-07-24T05:18:56.3965520Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-07-24T05:18:56.3966210Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-07-24T05:18:56.3966850Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-07-24T05:18:56.3967460Z   python3 -mpip install torch==2.7.1
2025-07-24T05:18:56.3967870Z elif command -v rocminfo; then
2025-07-24T05:18:56.3968390Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-07-24T05:18:56.3969190Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-07-24T05:18:56.3969860Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-07-24T05:18:56.3970440Z   # GPU device name coming from rocminfo instead
2025-07-24T05:18:56.3970880Z   DEVICE_NAME=rocm
2025-07-24T05:18:56.3971450Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-07-24T05:18:56.3972030Z fi
2025-07-24T05:18:56.3972260Z 
2025-07-24T05:18:56.3972580Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-07-24T05:18:56.3973080Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-07-24T05:18:56.3999750Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:18:56.4000120Z env:
2025-07-24T05:18:56.4000330Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:56.4000640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:56.4000950Z   TEST_CONFIG: default
2025-07-24T05:18:56.4001200Z   SHARD_NUMBER: 1
2025-07-24T05:18:56.4001450Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:56.4001690Z   PR_BODY: 
2025-07-24T05:18:56.4001910Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:56.4002320Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:56.4002750Z ##[endgroup]
2025-07-24T05:18:56.4248930Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-07-24T05:18:56.9987660Z Collecting boto3==1.35.33
2025-07-24T05:18:57.0012310Z   Using cached boto3-1.35.33-py3-none-any.whl.metadata (6.6 kB)
2025-07-24T05:18:57.0446120Z Collecting psutil==7.0.0
2025-07-24T05:18:57.0475710Z   Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl.metadata (22 kB)
2025-07-24T05:18:57.0624660Z Collecting pynvml==12.0.0
2025-07-24T05:18:57.0646830Z   Using cached pynvml-12.0.0-py3-none-any.whl.metadata (5.4 kB)
2025-07-24T05:18:57.0686360Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.33) (1.35.99)
2025-07-24T05:18:57.0689090Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.33) (1.0.1)
2025-07-24T05:18:57.0691690Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.33) (0.10.4)
2025-07-24T05:18:57.0776840Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 (from pynvml==12.0.0)
2025-07-24T05:18:57.0797750Z   Using cached nvidia_ml_py-12.575.51-py3-none-any.whl.metadata (9.3 kB)
2025-07-24T05:18:57.0847080Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.9.0.post0)
2025-07-24T05:18:57.0852820Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-07-24T05:18:57.0876790Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.17.0)
2025-07-24T05:18:57.0941410Z Using cached boto3-1.35.33-py3-none-any.whl (139 kB)
2025-07-24T05:18:57.0972560Z Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl (239 kB)
2025-07-24T05:18:57.1000360Z Using cached pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-07-24T05:18:57.1020650Z Using cached nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-07-24T05:18:57.2312650Z Installing collected packages: nvidia-ml-py, pynvml, psutil, boto3
2025-07-24T05:18:57.2759520Z   Attempting uninstall: psutil
2025-07-24T05:18:57.2783660Z     Found existing installation: psutil 5.9.8
2025-07-24T05:18:57.2838820Z     Uninstalling psutil-5.9.8:
2025-07-24T05:18:57.2852060Z       Successfully uninstalled psutil-5.9.8
2025-07-24T05:18:57.3836100Z   Attempting uninstall: boto3
2025-07-24T05:18:57.3850390Z     Found existing installation: boto3 1.35.42
2025-07-24T05:18:57.3919920Z     Uninstalling boto3-1.35.42:
2025-07-24T05:18:57.3933950Z       Successfully uninstalled boto3-1.35.42
2025-07-24T05:18:57.4359500Z 
2025-07-24T05:18:57.4396450Z Successfully installed boto3-1.35.33 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0
2025-07-24T05:18:57.4914180Z + DEVICE_NAME=
2025-07-24T05:18:57.4914400Z + DEVICE_TYPE=
2025-07-24T05:18:57.4914600Z + command -v nvidia-smi
2025-07-24T05:18:57.4914810Z + command -v rocminfo
2025-07-24T05:18:57.4915020Z + echo DEVICE_NAME=
2025-07-24T05:18:57.4916310Z + echo DEVICE_TYPE=
2025-07-24T05:18:57.4950230Z ##[group]Run set -eux
2025-07-24T05:18:57.4950430Z set -eux
2025-07-24T05:18:57.4950590Z 
2025-07-24T05:18:57.4950770Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-07-24T05:18:57.4951020Z   echo "Missing github-token input"
2025-07-24T05:18:57.4951260Z   exit 1
2025-07-24T05:18:57.4951430Z fi
2025-07-24T05:18:57.4963320Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:18:57.4963570Z env:
2025-07-24T05:18:57.4963720Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:57.4972310Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:57.4972570Z   TEST_CONFIG: default
2025-07-24T05:18:57.4972750Z   SHARD_NUMBER: 1
2025-07-24T05:18:57.4972930Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:57.4973090Z   PR_BODY: 
2025-07-24T05:18:57.4973220Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:57.4973510Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:57.4973780Z   DEVICE_NAME: 
2025-07-24T05:18:57.4973920Z   DEVICE_TYPE: 
2025-07-24T05:18:57.4974330Z   GITHUB_TOKEN: ***
2025-07-24T05:18:57.4974490Z ##[endgroup]
2025-07-24T05:18:57.5174970Z + [[ -z *** ]]
2025-07-24T05:18:57.5247880Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-07-24T05:18:57.5248200Z with:
2025-07-24T05:18:57.5248640Z   github-token: ***
2025-07-24T05:18:57.5248810Z env:
2025-07-24T05:18:57.5248970Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:57.5249180Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:57.5249420Z   TEST_CONFIG: default
2025-07-24T05:18:57.5249600Z   SHARD_NUMBER: 1
2025-07-24T05:18:57.5249760Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:57.5249940Z   PR_BODY: 
2025-07-24T05:18:57.5250120Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:57.5250410Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:57.5250710Z   DEVICE_NAME: 
2025-07-24T05:18:57.5250910Z   DEVICE_TYPE: 
2025-07-24T05:18:57.5251070Z ##[endgroup]
2025-07-24T05:18:57.5261820Z ##[group]Run set -eux
2025-07-24T05:18:57.5261990Z set -eux
2025-07-24T05:18:57.5262160Z 
2025-07-24T05:18:57.5262480Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-07-24T05:18:57.5274940Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:18:57.5275190Z env:
2025-07-24T05:18:57.5275360Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:18:57.5275560Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:18:57.5275780Z   TEST_CONFIG: default
2025-07-24T05:18:57.5275960Z   SHARD_NUMBER: 1
2025-07-24T05:18:57.5276120Z   NUM_TEST_SHARDS: 3
2025-07-24T05:18:57.5276300Z   PR_BODY: 
2025-07-24T05:18:57.5276460Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:18:57.5276730Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:18:57.5277010Z   DEVICE_NAME: 
2025-07-24T05:18:57.5277180Z   DEVICE_TYPE: 
2025-07-24T05:18:57.5277550Z   GITHUB_TOKEN: ***
2025-07-24T05:18:57.5277740Z ##[endgroup]
2025-07-24T05:18:57.5480220Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16487210679 i-0b95bf35f8faa9da2
2025-07-24T05:18:58.5610020Z setting job-id=46614827190
2025-07-24T05:18:58.5656790Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T05:19:03.5948650Z ##[group]Run set -eux
2025-07-24T05:19:03.5949550Z set -eux
2025-07-24T05:19:03.5950260Z 
2025-07-24T05:19:03.5951510Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-07-24T05:19:03.5953330Z   --schema-version "${SCHEMA_VERSION}" \
2025-07-24T05:19:03.5954500Z   --repo "${REPO}" \
2025-07-24T05:19:03.5955490Z   --head-branch "${HEAD_BRANCH}" \
2025-07-24T05:19:03.5956900Z   --head-sha "${HEAD_SHA}" \
2025-07-24T05:19:03.5958340Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-07-24T05:19:03.5959890Z   --run-attempt "${RUN_ATTEMPT}" \
2025-07-24T05:19:03.5960940Z   --job-id "${JOB_ID}" \
2025-07-24T05:19:03.5962100Z   --job-name "${JOB_NAME}"
2025-07-24T05:19:03.6118520Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:03.6119610Z env:
2025-07-24T05:19:03.6120410Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:03.6121250Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:03.6122230Z   TEST_CONFIG: default
2025-07-24T05:19:03.6122990Z   SHARD_NUMBER: 1
2025-07-24T05:19:03.6123710Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:03.6124720Z   PR_BODY: 
2025-07-24T05:19:03.6125280Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:03.6158230Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:03.6159050Z   DEVICE_NAME: 
2025-07-24T05:19:03.6159540Z   DEVICE_TYPE: 
2025-07-24T05:19:03.6160100Z   SCHEMA_VERSION: v3
2025-07-24T05:19:03.6160610Z   REPO: pytorch/pytorch
2025-07-24T05:19:03.6161260Z   HEAD_BRANCH: refs/tags/ciflow/trunk/149961
2025-07-24T05:19:03.6162080Z   HEAD_SHA: 27c8ef1839e0747b36769efb192befc9308ff93c
2025-07-24T05:19:03.6162780Z   WORKFLOW_RUN_ID: 16487210679
2025-07-24T05:19:03.6163590Z   RUN_ATTEMPT: 1
2025-07-24T05:19:03.6164230Z   JOB_ID: 46614827190
2025-07-24T05:19:03.6165770Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T05:19:03.6166640Z ##[endgroup]
2025-07-24T05:19:03.6549660Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/tags/ciflow/trunk/149961 --head-sha 27c8ef1839e0747b36769efb192befc9308ff93c --workflow-id 16487210679 --run-attempt 1 --job-id 46614827190 --job-name 'macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)'
2025-07-24T05:19:03.6914990Z ##[group]Run set -eux
2025-07-24T05:19:03.6915190Z set -eux
2025-07-24T05:19:03.6915380Z 
2025-07-24T05:19:03.6915670Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-07-24T05:19:03.6928890Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:03.6929150Z env:
2025-07-24T05:19:03.6929330Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:03.6929540Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:03.6929770Z   TEST_CONFIG: default
2025-07-24T05:19:03.6929950Z   SHARD_NUMBER: 1
2025-07-24T05:19:03.6930110Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:03.6930290Z   PR_BODY: 
2025-07-24T05:19:03.6930450Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:03.6930720Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:03.6931110Z   DEVICE_NAME: 
2025-07-24T05:19:03.6931280Z   DEVICE_TYPE: 
2025-07-24T05:19:03.6931440Z ##[endgroup]
2025-07-24T05:19:03.7127460Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-07-24T05:19:04.8502760Z ##[group]Run set -eux
2025-07-24T05:19:04.8502950Z set -eux
2025-07-24T05:19:04.8503160Z 
2025-07-24T05:19:04.8503350Z # TODO (huydhn): Implement this part
2025-07-24T05:19:04.8503640Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-07-24T05:19:04.8516790Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:04.8517050Z env:
2025-07-24T05:19:04.8517220Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:04.8517500Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:04.8517730Z   TEST_CONFIG: default
2025-07-24T05:19:04.8517900Z   SHARD_NUMBER: 1
2025-07-24T05:19:04.8518100Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:04.8518280Z   PR_BODY: 
2025-07-24T05:19:04.8518430Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:04.8518710Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:04.8518990Z   DEVICE_NAME: 
2025-07-24T05:19:04.8519140Z   DEVICE_TYPE: 
2025-07-24T05:19:04.8519320Z ##[endgroup]
2025-07-24T05:19:04.8714800Z + echo 'dependencies={}'
2025-07-24T05:19:04.8738700Z ##[group]Run set -eux
2025-07-24T05:19:04.8738910Z set -eux
2025-07-24T05:19:04.8739090Z 
2025-07-24T05:19:04.8739280Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-07-24T05:19:04.8739630Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-07-24T05:19:04.8739990Z   # We don't want the job to fail if the directory doesn't exist
2025-07-24T05:19:04.8740250Z   exit 0
2025-07-24T05:19:04.8740440Z fi
2025-07-24T05:19:04.8740600Z 
2025-07-24T05:19:04.8740780Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-07-24T05:19:04.8741140Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-07-24T05:19:04.8741540Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-07-24T05:19:04.8741840Z     --metadata "${BENCHMARK_METADATA}" \
2025-07-24T05:19:04.8742120Z     --runners "${RUNNER_INFO}" \
2025-07-24T05:19:04.8742390Z     --dependencies "${DEPENDENCIES}" \
2025-07-24T05:19:04.8742630Z     --dry-run
2025-07-24T05:19:04.8742810Z else
2025-07-24T05:19:04.8743100Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-07-24T05:19:04.8743840Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-07-24T05:19:04.8744150Z     --metadata "${BENCHMARK_METADATA}" \
2025-07-24T05:19:04.8744420Z     --runners "${RUNNER_INFO}" \
2025-07-24T05:19:04.8744670Z     --dependencies "${DEPENDENCIES}"
2025-07-24T05:19:04.8744890Z fi
2025-07-24T05:19:04.8757090Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:04.8757390Z env:
2025-07-24T05:19:04.8757530Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:04.8757760Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:04.8757990Z   TEST_CONFIG: default
2025-07-24T05:19:04.8758160Z   SHARD_NUMBER: 1
2025-07-24T05:19:04.8758330Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:04.8758510Z   PR_BODY: 
2025-07-24T05:19:04.8758660Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:04.8758950Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:04.8759250Z   DEVICE_NAME: 
2025-07-24T05:19:04.8768610Z   DEVICE_TYPE: 
2025-07-24T05:19:04.8768830Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-07-24T05:19:04.8769060Z   DRY_RUN: false
2025-07-24T05:19:04.8769910Z   BENCHMARK_METADATA: {"timestamp": 1753334343, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/tags/ciflow/trunk/149961", "head_sha": "27c8ef1839e0747b36769efb192befc9308ff93c", "workflow_id": 16487210679, "run_attempt": 1, "job_id": 46614827190}
2025-07-24T05:19:04.8770950Z   RUNNER_INFO: [{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-178.ec2.internal"}, "name": "", "type": ""}]
2025-07-24T05:19:04.8771460Z   DEPENDENCIES: {}
2025-07-24T05:19:04.8771620Z ##[endgroup]
2025-07-24T05:19:04.8966990Z + [[ ! -d test/test-reports ]]
2025-07-24T05:19:04.8967280Z + [[ false == \t\r\u\e ]]
2025-07-24T05:19:04.8969100Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1753334343, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/tags/ciflow/trunk/149961", "head_sha": "27c8ef1839e0747b36769efb192befc9308ff93c", "workflow_id": 16487210679, "run_attempt": 1, "job_id": 46614827190}' --runners '[{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-178.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-07-24T05:19:04.9982740Z /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'test_public_bindings'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 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{'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_serialize'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'test_testing'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'export/test_tools'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'export/test_verifier'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 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'dynamo/test_sources'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'export/test_swap'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'export/test_experimental'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'export/test_converter'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'test_cpp_extensions_open_device_registration'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'test_autograd'}, {'test_file': 'export/test_sparse'}, {'test_file': 'test_package'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_fx_passes'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'test_transformers'}, {'test_file': 'test_license'}, {'test_file': 'test_torch'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_fx'}, {'test_file': 'test_foreach'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_openmp'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_ops'}, {'test_file': 'test_pytree'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_optim'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_utils'}, {'test_file': 'test_complex'}, {'test_file': 'test_weak'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_meta'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_decomp'}, {'test_file': 'test_stateless'}, {'test_file': 'test_logging'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_modules'}, {'test_file': 'test_autoload'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_monitor'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_extension_utils'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'test_itt'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_masked'}, {'test_file': 'test_subclass'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_autocast'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_file_check'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_flop_counter'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'test_futures'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_typing'}, {'test_file': 'test_functional_optim'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_openreg'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_type_info'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'test_linalg'}, {'test_file': 'test_module_tracker'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'test_indexing'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_namedtensor'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_hub'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_dlpack'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_function_schema'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_cuda'}, {'test_file': 'test_sparse'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_prims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'optim/test_optim'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_accelerator'}, {'test_file': 'test_reductions'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_overrides'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_quantization'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_deploy'}, {'test_file': 'doctests'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}], 'excluded': []} from test/test-reports/td_exclusions-844e78134c3a3e51f61b.json is not a benchmark record, skipping
2025-07-24T05:19:05.0023150Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-07-24T05:19:05.0106150Z Prepare all required actions
2025-07-24T05:19:05.0106440Z Getting action download info
2025-07-24T05:19:05.1255090Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-07-24T05:19:05.1255500Z with:
2025-07-24T05:19:05.1255750Z   job_id: 46614827190
2025-07-24T05:19:05.1256140Z   job_name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T05:19:05.1256630Z   workflow_name: trunk
2025-07-24T05:19:05.1256910Z   workflow_run_id: 16487210679
2025-07-24T05:19:05.1257250Z   workflow_attempt: 1
2025-07-24T05:19:05.1257580Z   local_path: usage_log.txt
2025-07-24T05:19:05.1257860Z env:
2025-07-24T05:19:05.1258110Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:05.1258450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:05.1258780Z   TEST_CONFIG: default
2025-07-24T05:19:05.1259070Z   SHARD_NUMBER: 1
2025-07-24T05:19:05.1259360Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:05.1259620Z   PR_BODY: 
2025-07-24T05:19:05.1259870Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:05.1260350Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:05.1260800Z   DEVICE_NAME: 
2025-07-24T05:19:05.1261050Z   DEVICE_TYPE: 
2025-07-24T05:19:05.1261310Z ##[endgroup]
2025-07-24T05:19:05.1298100Z ##[group]Run echo "workflow_id: 16487210679"
2025-07-24T05:19:05.1298470Z echo "workflow_id: 16487210679"
2025-07-24T05:19:05.1298780Z echo "workflow_attempt: 1"
2025-07-24T05:19:05.1299080Z echo "workflow_Name: trunk"
2025-07-24T05:19:05.1299360Z echo "job_id: 46614827190"
2025-07-24T05:19:05.1299790Z echo "job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)"
2025-07-24T05:19:05.1300230Z echo "artifact_prefix: "
2025-07-24T05:19:05.1300510Z python3 --version
2025-07-24T05:19:05.1317150Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:05.1317490Z env:
2025-07-24T05:19:05.1317680Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:05.1317950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:05.1318230Z   TEST_CONFIG: default
2025-07-24T05:19:05.1318450Z   SHARD_NUMBER: 1
2025-07-24T05:19:05.1318680Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:05.1318930Z   PR_BODY: 
2025-07-24T05:19:05.1319180Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:05.1319550Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:05.1319910Z   DEVICE_NAME: 
2025-07-24T05:19:05.1320120Z   DEVICE_TYPE: 
2025-07-24T05:19:05.1320350Z ##[endgroup]
2025-07-24T05:19:05.1552500Z workflow_id: 16487210679
2025-07-24T05:19:05.1552810Z workflow_attempt: 1
2025-07-24T05:19:05.1553030Z workflow_Name: trunk
2025-07-24T05:19:05.1553240Z job_id: 46614827190
2025-07-24T05:19:05.1553560Z job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-07-24T05:19:05.1553910Z artifact_prefix: 
2025-07-24T05:19:05.1621670Z Python 3.12.11
2025-07-24T05:19:05.1653500Z ##[group]Run nick-fields/retry@v3.0.0
2025-07-24T05:19:05.1653730Z with:
2025-07-24T05:19:05.1653910Z   shell: bash
2025-07-24T05:19:05.1654080Z   timeout_minutes: 5
2025-07-24T05:19:05.1654270Z   max_attempts: 5
2025-07-24T05:19:05.1654440Z   retry_wait_seconds: 30
2025-07-24T05:19:05.1654970Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-07-24T05:19:05.1655390Z   polling_interval_seconds: 1
2025-07-24T05:19:05.1655590Z   warning_on_retry: true
2025-07-24T05:19:05.1655790Z   continue_on_error: false
2025-07-24T05:19:05.1655990Z env:
2025-07-24T05:19:05.1656130Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:05.1656350Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:05.1656580Z   TEST_CONFIG: default
2025-07-24T05:19:05.1656750Z   SHARD_NUMBER: 1
2025-07-24T05:19:05.1656920Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:05.1657100Z   PR_BODY: 
2025-07-24T05:19:05.1657280Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:05.1657570Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:05.1657860Z   DEVICE_NAME: 
2025-07-24T05:19:05.1658570Z   DEVICE_TYPE: 
2025-07-24T05:19:05.1658740Z ##[endgroup]
2025-07-24T05:19:05.4493250Z Collecting python-dateutil==2.8.2
2025-07-24T05:19:05.4515590Z   Using cached python_dateutil-2.8.2-py2.py3-none-any.whl.metadata (8.2 kB)
2025-07-24T05:19:05.5823530Z Collecting boto3==1.35.42
2025-07-24T05:19:05.5845870Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-07-24T05:19:05.6461300Z Collecting pandas==2.1.3
2025-07-24T05:19:05.6476890Z   Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl.metadata (18 kB)
2025-07-24T05:19:05.6741220Z Collecting dataclasses_json==0.6.7
2025-07-24T05:19:05.6758050Z   Using cached dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
2025-07-24T05:19:05.6812240Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from python-dateutil==2.8.2) (1.17.0)
2025-07-24T05:19:05.6817370Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.42) (1.35.99)
2025-07-24T05:19:05.6819450Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.42) (1.0.1)
2025-07-24T05:19:05.6822880Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from boto3==1.35.42) (0.10.4)
2025-07-24T05:19:05.6828820Z Requirement already satisfied: numpy<2,>=1.26.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from pandas==2.1.3) (1.26.4)
2025-07-24T05:19:05.7095000Z Collecting pytz>=2020.1 (from pandas==2.1.3)
2025-07-24T05:19:05.7110730Z   Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
2025-07-24T05:19:05.7242270Z Collecting tzdata>=2022.1 (from pandas==2.1.3)
2025-07-24T05:19:05.7256350Z   Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
2025-07-24T05:19:05.7512840Z Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.7)
2025-07-24T05:19:05.7534530Z   Using cached marshmallow-3.26.1-py3-none-any.whl.metadata (7.3 kB)
2025-07-24T05:19:05.7646950Z Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7)
2025-07-24T05:19:05.7672980Z   Using cached typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)
2025-07-24T05:19:05.7726400Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.20)
2025-07-24T05:19:05.7734900Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-07-24T05:19:05.7830490Z Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-07-24T05:19:05.7844590Z   Using cached mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB)
2025-07-24T05:19:05.7880380Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-07-24T05:19:05.7929980Z Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-07-24T05:19:05.7965340Z Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-07-24T05:19:05.7997250Z Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl (10.6 MB)
2025-07-24T05:19:05.8302810Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-07-24T05:19:05.8327820Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-07-24T05:19:05.8345240Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-07-24T05:19:05.8361640Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-07-24T05:19:05.8384930Z Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
2025-07-24T05:19:05.8429210Z Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-07-24T05:19:05.9395900Z Installing collected packages: pytz, tzdata, python-dateutil, mypy-extensions, marshmallow, typing-inspect, pandas, dataclasses_json, boto3
2025-07-24T05:19:06.0734890Z   Attempting uninstall: python-dateutil
2025-07-24T05:19:06.0755640Z     Found existing installation: python-dateutil 2.9.0.post0
2025-07-24T05:19:06.0803610Z     Uninstalling python-dateutil-2.9.0.post0:
2025-07-24T05:19:06.0810860Z       Successfully uninstalled python-dateutil-2.9.0.post0
2025-07-24T05:19:08.5792840Z   Attempting uninstall: boto3
2025-07-24T05:19:08.5815150Z     Found existing installation: boto3 1.35.33
2025-07-24T05:19:08.5845650Z     Uninstalling boto3-1.35.33:
2025-07-24T05:19:08.5860250Z       Successfully uninstalled boto3-1.35.33
2025-07-24T05:19:08.6261930Z 
2025-07-24T05:19:08.6301340Z Successfully installed boto3-1.35.42 dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 typing-inspect-0.9.0 tzdata-2025.2
2025-07-24T05:19:09.2434070Z Command completed after 1 attempt(s).
2025-07-24T05:19:09.2613000Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-07-24T05:19:09.2614440Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-07-24T05:19:09.2615390Z   --workflow-run-id "16487210679" \
2025-07-24T05:19:09.2616090Z   --workflow-name "trunk" \
2025-07-24T05:19:09.2616730Z   --workflow-run-attempt "1" \
2025-07-24T05:19:09.2617330Z   --job-id "46614827190" \
2025-07-24T05:19:09.2618220Z   --job-name "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)" \
2025-07-24T05:19:09.2619130Z   --local-path "usage_log.txt" \
2025-07-24T05:19:09.2619770Z   --artifact-prefix ""
2025-07-24T05:19:09.2689240Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:09.2690060Z env:
2025-07-24T05:19:09.2690580Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:09.2691190Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:09.2691770Z   TEST_CONFIG: default
2025-07-24T05:19:09.2692220Z   SHARD_NUMBER: 1
2025-07-24T05:19:09.2692650Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:09.2693080Z   PR_BODY: 
2025-07-24T05:19:09.2693540Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:09.2694300Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:09.2695200Z   DEVICE_NAME: 
2025-07-24T05:19:09.2695650Z   DEVICE_TYPE: 
2025-07-24T05:19:09.2696180Z ##[endgroup]
2025-07-24T05:19:11.3756580Z repo: pytorch/pytorch
2025-07-24T05:19:11.3756950Z ::warning file usage_log.txt does not exist.
2025-07-24T05:19:11.3757290Z [Log Model] Failed to process test log, metadata is None
2025-07-24T05:19:11.4185200Z ##[group]Run if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-07-24T05:19:11.4185550Z if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-07-24T05:19:11.4185810Z     brew install --cask miniconda
2025-07-24T05:19:11.4186020Z fi
2025-07-24T05:19:11.4210750Z shell: /bin/bash -e -l {0}
2025-07-24T05:19:11.4211080Z env:
2025-07-24T05:19:11.4211230Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:11.4211450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:11.4211670Z   TEST_CONFIG: default
2025-07-24T05:19:11.4211840Z   SHARD_NUMBER: 1
2025-07-24T05:19:11.4212010Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:11.4212190Z   PR_BODY: 
2025-07-24T05:19:11.4212350Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:11.4212620Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:11.4212910Z   DEVICE_NAME: 
2025-07-24T05:19:11.4213070Z   DEVICE_TYPE: 
2025-07-24T05:19:11.4213220Z ##[endgroup]
2025-07-24T05:19:15.6354300Z ==> Caveats
2025-07-24T05:19:15.6354630Z Please run the following to setup your shell:
2025-07-24T05:19:15.6354890Z   conda init "$(basename "${SHELL}")"
2025-07-24T05:19:15.6355050Z 
2025-07-24T05:19:15.6355220Z Alternatively, manually add the following to your shell init:
2025-07-24T05:19:15.6355550Z   eval "$(conda "shell.$(basename "${SHELL}")" hook)"
2025-07-24T05:19:15.6355770Z 
2025-07-24T05:19:15.6365550Z ==> Downloading https://repo.anaconda.com/miniconda/Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-07-24T05:19:15.8086860Z Already downloaded: /Users/ec2-user/Library/Caches/Homebrew/downloads/ac2aa7a8e15821b957e5b3521679e86c83c3f0dc738ab629ded756f0b301d2c7--Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-07-24T05:19:18.0209370Z ==> Installing Cask miniconda
2025-07-24T05:19:18.2639680Z ==> Running installer script 'Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh'
2025-07-24T05:19:19.2501870Z PREFIX=/opt/homebrew/Caskroom/miniconda/base
2025-07-24T05:19:19.6407820Z Unpacking payload ...
2025-07-24T05:19:22.1255870Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-07-24T05:19:24.4965450Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-07-24T05:19:31.8440710Z 
2025-07-24T05:19:31.8441410Z Installing base environment...
2025-07-24T05:19:31.8441660Z 
2025-07-24T05:19:36.2923460Z Preparing transaction: ...working... done
2025-07-24T05:19:47.7770110Z Executing transaction: ...working... 
2025-07-24T05:19:47.7770390Z done
2025-07-24T05:19:49.9648470Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-07-24T05:19:50.1379820Z installation finished.
2025-07-24T05:19:50.1388730Z ==> Linking Binary 'conda' to '/opt/homebrew/bin/conda'
2025-07-24T05:19:50.2914280Z 🍺  miniconda was successfully installed!
2025-07-24T05:19:50.3434080Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-07-24T05:19:50.3434430Z with:
2025-07-24T05:19:50.3434610Z   minimum-available-space-in-gb: 6
2025-07-24T05:19:50.3434820Z env:
2025-07-24T05:19:50.3434980Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:50.3435200Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:50.3435470Z   TEST_CONFIG: default
2025-07-24T05:19:50.3435680Z   SHARD_NUMBER: 1
2025-07-24T05:19:50.3435860Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:50.3436040Z   PR_BODY: 
2025-07-24T05:19:50.3436210Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:50.3436530Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:50.3436820Z   DEVICE_NAME: 
2025-07-24T05:19:50.3436970Z   DEVICE_TYPE: 
2025-07-24T05:19:50.3437120Z ##[endgroup]
2025-07-24T05:19:50.3448780Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-07-24T05:19:50.3449190Z echo "Print the available disk space for manual inspection"
2025-07-24T05:19:50.3449480Z df -h
2025-07-24T05:19:50.3449630Z 
2025-07-24T05:19:50.3449810Z function check_disk_space() {
2025-07-24T05:19:50.3450100Z   set +e
2025-07-24T05:19:50.3450250Z 
2025-07-24T05:19:50.3450450Z   # Set the minimum requirement space to 6GB
2025-07-24T05:19:50.3450830Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-07-24T05:19:50.3451130Z 
2025-07-24T05:19:50.3451320Z   # Use KB to avoid floating point warning like 3.1GB
2025-07-24T05:19:50.3451610Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-07-24T05:19:50.3451860Z   do
2025-07-24T05:19:50.3452050Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-07-24T05:19:50.3452310Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-07-24T05:19:50.3452510Z 
2025-07-24T05:19:50.3452670Z     if [ "${MOUNT}" = "/" ]; then
2025-07-24T05:19:50.3452970Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-07-24T05:19:50.3453560Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-07-24T05:19:50.3454050Z       else
2025-07-24T05:19:50.3454390Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-07-24T05:19:50.3454730Z       fi
2025-07-24T05:19:50.3454930Z     fi
2025-07-24T05:19:50.3455080Z   done
2025-07-24T05:19:50.3455230Z 
2025-07-24T05:19:50.3455380Z   set -e
2025-07-24T05:19:50.3455540Z }
2025-07-24T05:19:50.3455690Z 
2025-07-24T05:19:50.3455840Z RESULT=$(check_disk_space)
2025-07-24T05:19:50.3456070Z echo "${RESULT}"
2025-07-24T05:19:50.3456260Z 
2025-07-24T05:19:50.3456480Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-07-24T05:19:50.3457040Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-07-24T05:19:50.3457580Z   # https://github.com/pytorch/pytorch/issues/85440
2025-07-24T05:19:50.3457970Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-07-24T05:19:50.3458490Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-07-24T05:19:50.3458960Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-07-24T05:19:50.3459240Z 
2025-07-24T05:19:50.3459410Z   # Clean up crash reports on the runner
2025-07-24T05:19:50.3459760Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-07-24T05:19:50.3460060Z 
2025-07-24T05:19:50.3460570Z   # Also try to clean up torch.hub caching directory
2025-07-24T05:19:50.3460880Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-07-24T05:19:50.3461110Z 
2025-07-24T05:19:50.3461340Z   # Purge conda
2025-07-24T05:19:50.3461560Z   conda clean -p -t -y || true
2025-07-24T05:19:50.3461800Z   # and pip cache
2025-07-24T05:19:50.3462010Z   pip cache purge || true
2025-07-24T05:19:50.3462210Z 
2025-07-24T05:19:50.3462430Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-07-24T05:19:50.3462710Z   # Re-run the check
2025-07-24T05:19:50.3462930Z   RESULT=$(check_disk_space)
2025-07-24T05:19:50.3463150Z   echo "${RESULT}"
2025-07-24T05:19:50.3463330Z fi
2025-07-24T05:19:50.3463600Z 
2025-07-24T05:19:50.3463770Z if [[ "${RESULT}" == *Failure* ]]; then
2025-07-24T05:19:50.3463990Z   df -h
2025-07-24T05:19:50.3464160Z 
2025-07-24T05:19:50.3464590Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-07-24T05:19:50.3465130Z   exit 1
2025-07-24T05:19:50.3465290Z fi
2025-07-24T05:19:50.3771080Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:50.3771340Z env:
2025-07-24T05:19:50.3771500Z   GIT_DEFAULT_BRANCH: main
2025-07-24T05:19:50.3771760Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-07-24T05:19:50.3771950Z   TEST_CONFIG: default
2025-07-24T05:19:50.3772140Z   SHARD_NUMBER: 1
2025-07-24T05:19:50.3772280Z   NUM_TEST_SHARDS: 3
2025-07-24T05:19:50.3772440Z   PR_BODY: 
2025-07-24T05:19:50.3772570Z   REINSTALL_BREW_MINICONDA: 1
2025-07-24T05:19:50.3772850Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:50.3773120Z   DEVICE_NAME: 
2025-07-24T05:19:50.3773290Z   DEVICE_TYPE: 
2025-07-24T05:19:50.3773450Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-07-24T05:19:50.3773660Z ##[endgroup]
2025-07-24T05:19:50.3982260Z Print the available disk space for manual inspection
2025-07-24T05:19:50.3996580Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-07-24T05:19:50.3997130Z /dev/disk5s2s1   256Gi   9.5Gi   173Gi     6%    404k  1.8G    0%   /
2025-07-24T05:19:50.3997560Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-07-24T05:19:50.3997950Z /dev/disk5s5     256Gi   1.0Gi   173Gi     1%       1  1.8G    0%   /System/Volumes/VM
2025-07-24T05:19:50.3998390Z /dev/disk5s3     256Gi   5.7Gi   173Gi     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-07-24T05:19:50.3998870Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-07-24T05:19:50.3999320Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-07-24T05:19:50.3999820Z /dev/disk1s3     500Mi   872Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-07-24T05:19:50.4000250Z /dev/disk5s1     256Gi    66Gi   173Gi    28%    2.8M  1.8G    0%   /System/Volumes/Data
2025-07-24T05:19:50.4000700Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-07-24T05:19:50.4001130Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-dYoGYX
2025-07-24T05:19:50.4410610Z Success: There is 180903352KB free space left in / for macOS, continue
2025-07-24T05:19:50.4455070Z Post job cleanup.
2025-07-24T05:19:50.4881870Z Removing virtual environment at /Users/ec2-user/runner/_work/_temp/venv-3.12-1753329645
2025-07-24T05:19:53.8375640Z Post job cleanup.
2025-07-24T05:19:53.8417620Z Post job cleanup.
2025-07-24T05:19:53.9219450Z [command]/usr/bin/git version
2025-07-24T05:19:53.9303140Z git version 2.39.3 (Apple Git-146)
2025-07-24T05:19:53.9322380Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/087cb632-8653-4fcc-acf2-287d2a136e77/.gitconfig'
2025-07-24T05:19:53.9328430Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/087cb632-8653-4fcc-acf2-287d2a136e77' before making global git config changes
2025-07-24T05:19:53.9329120Z Adding repository directory to the temporary git global config as a safe directory
2025-07-24T05:19:53.9331580Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-07-24T05:19:53.9400210Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-07-24T05:19:53.9460500Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-07-24T05:19:54.0299710Z Entering 'android/libs/fbjni'
2025-07-24T05:19:54.0440270Z Entering 'third_party/FP16'
2025-07-24T05:19:54.0549890Z Entering 'third_party/FXdiv'
2025-07-24T05:19:54.0670970Z Entering 'third_party/NNPACK'
2025-07-24T05:19:54.0799670Z Entering 'third_party/NVTX'
2025-07-24T05:19:54.0908090Z Entering 'third_party/VulkanMemoryAllocator'
2025-07-24T05:19:54.1011370Z Entering 'third_party/XNNPACK'
2025-07-24T05:19:54.1276970Z Entering 'third_party/aiter'
2025-07-24T05:19:54.1398700Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T05:19:54.1504370Z Entering 'third_party/benchmark'
2025-07-24T05:19:54.1655670Z Entering 'third_party/composable_kernel'
2025-07-24T05:19:54.1777500Z Entering 'third_party/cpp-httplib'
2025-07-24T05:19:54.1880600Z Entering 'third_party/cpuinfo'
2025-07-24T05:19:54.2021030Z Entering 'third_party/cudnn_frontend'
2025-07-24T05:19:54.2129150Z Entering 'third_party/cutlass'
2025-07-24T05:19:54.2233500Z Entering 'third_party/fbgemm'
2025-07-24T05:19:54.2489880Z Entering 'third_party/fbgemm/external/asmjit'
2025-07-24T05:19:54.2652950Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-07-24T05:19:54.2902690Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-07-24T05:19:54.3064860Z Entering 'third_party/fbgemm/external/cutlass'
2025-07-24T05:19:54.3309370Z Entering 'third_party/fbgemm/external/googletest'
2025-07-24T05:19:54.3466870Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-07-24T05:19:54.3639130Z Entering 'third_party/fbgemm/external/json'
2025-07-24T05:19:54.3804950Z Entering 'third_party/flash-attention'
2025-07-24T05:19:54.3920110Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T05:19:54.4048570Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-07-24T05:19:54.4161180Z Entering 'third_party/flatbuffers'
2025-07-24T05:19:54.4264720Z Entering 'third_party/fmt'
2025-07-24T05:19:54.4397990Z Entering 'third_party/gemmlowp/gemmlowp'
2025-07-24T05:19:54.4512290Z Entering 'third_party/gloo'
2025-07-24T05:19:54.4633330Z Entering 'third_party/googletest'
2025-07-24T05:19:54.4767840Z Entering 'third_party/ideep'
2025-07-24T05:19:54.4999660Z Entering 'third_party/ideep/mkl-dnn'
2025-07-24T05:19:54.5215030Z Entering 'third_party/ittapi'
2025-07-24T05:19:54.5323750Z Entering 'third_party/kineto'
2025-07-24T05:19:54.5429790Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T05:19:54.5543580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T05:19:54.5644850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T05:19:54.5758640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T05:19:54.5865540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T05:19:54.5978340Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T05:19:54.6088200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T05:19:54.6188960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T05:19:54.6295650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T05:19:54.6395840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T05:19:54.6498570Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T05:19:54.6606080Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T05:19:54.6714540Z Entering 'third_party/kleidiai'
2025-07-24T05:19:54.6823890Z Entering 'third_party/mimalloc'
2025-07-24T05:19:54.6931470Z Entering 'third_party/nlohmann'
2025-07-24T05:19:54.7031740Z Entering 'third_party/onnx'
2025-07-24T05:19:54.7401390Z Entering 'third_party/onnx/third_party/pybind11'
2025-07-24T05:19:54.7542770Z Entering 'third_party/opentelemetry-cpp'
2025-07-24T05:19:54.7650660Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T05:19:54.7750010Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T05:19:54.7856340Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T05:19:54.7955700Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T05:19:54.8063420Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T05:19:54.8162980Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T05:19:54.8269210Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T05:19:54.8380960Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T05:19:54.8481240Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-07-24T05:19:54.8590010Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-07-24T05:19:54.8706370Z Entering 'third_party/pocketfft'
2025-07-24T05:19:54.8809220Z Entering 'third_party/protobuf'
2025-07-24T05:19:54.9082140Z Entering 'third_party/protobuf/third_party/benchmark'
2025-07-24T05:19:54.9223110Z Entering 'third_party/protobuf/third_party/googletest'
2025-07-24T05:19:54.9352470Z Entering 'third_party/psimd'
2025-07-24T05:19:54.9472790Z Entering 'third_party/pthreadpool'
2025-07-24T05:19:54.9587480Z Entering 'third_party/pybind11'
2025-07-24T05:19:54.9708220Z Entering 'third_party/python-peachpy'
2025-07-24T05:19:54.9822810Z Entering 'third_party/sleef'
2025-07-24T05:19:54.9945560Z Entering 'third_party/tensorpipe'
2025-07-24T05:19:55.0115540Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-07-24T05:19:55.0256200Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-07-24T05:19:55.0391340Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-07-24T05:19:55.0545340Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T05:19:55.0707080Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T05:19:55.0836600Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-07-24T05:19:55.0893610Z http.https://github.com/.extraheader
2025-07-24T05:19:55.0900550Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-07-24T05:19:55.0974100Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-07-24T05:19:55.1469830Z Entering 'android/libs/fbjni'
2025-07-24T05:19:55.1540280Z http.https://github.com/.extraheader
2025-07-24T05:19:55.1625420Z Entering 'third_party/FP16'
2025-07-24T05:19:55.1692490Z http.https://github.com/.extraheader
2025-07-24T05:19:55.1764660Z Entering 'third_party/FXdiv'
2025-07-24T05:19:55.1831850Z http.https://github.com/.extraheader
2025-07-24T05:19:55.1898160Z Entering 'third_party/NNPACK'
2025-07-24T05:19:55.1965120Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2029890Z Entering 'third_party/NVTX'
2025-07-24T05:19:55.2095200Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2161480Z Entering 'third_party/VulkanMemoryAllocator'
2025-07-24T05:19:55.2227530Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2293640Z Entering 'third_party/XNNPACK'
2025-07-24T05:19:55.2359980Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2430710Z Entering 'third_party/aiter'
2025-07-24T05:19:55.2498610Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2563430Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-07-24T05:19:55.2629230Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2705700Z Entering 'third_party/benchmark'
2025-07-24T05:19:55.2773930Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2840540Z Entering 'third_party/composable_kernel'
2025-07-24T05:19:55.2906510Z http.https://github.com/.extraheader
2025-07-24T05:19:55.2974760Z Entering 'third_party/cpp-httplib'
2025-07-24T05:19:55.3042020Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3108240Z Entering 'third_party/cpuinfo'
2025-07-24T05:19:55.3174410Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3240650Z Entering 'third_party/cudnn_frontend'
2025-07-24T05:19:55.3307290Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3373800Z Entering 'third_party/cutlass'
2025-07-24T05:19:55.3440660Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3509320Z Entering 'third_party/fbgemm'
2025-07-24T05:19:55.3576960Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3643040Z Entering 'third_party/fbgemm/external/asmjit'
2025-07-24T05:19:55.3709250Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3775280Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-07-24T05:19:55.3841730Z http.https://github.com/.extraheader
2025-07-24T05:19:55.3908950Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-07-24T05:19:55.3975990Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4042580Z Entering 'third_party/fbgemm/external/cutlass'
2025-07-24T05:19:55.4108430Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4176690Z Entering 'third_party/fbgemm/external/googletest'
2025-07-24T05:19:55.4243380Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4309300Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-07-24T05:19:55.4375050Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4440720Z Entering 'third_party/fbgemm/external/json'
2025-07-24T05:19:55.4506350Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4573900Z Entering 'third_party/flash-attention'
2025-07-24T05:19:55.4641850Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4706300Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-07-24T05:19:55.4772030Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4839490Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-07-24T05:19:55.4905950Z http.https://github.com/.extraheader
2025-07-24T05:19:55.4984040Z Entering 'third_party/flatbuffers'
2025-07-24T05:19:55.5052270Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5119020Z Entering 'third_party/fmt'
2025-07-24T05:19:55.5185570Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5251080Z Entering 'third_party/gemmlowp/gemmlowp'
2025-07-24T05:19:55.5317960Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5383870Z Entering 'third_party/gloo'
2025-07-24T05:19:55.5449120Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5515350Z Entering 'third_party/googletest'
2025-07-24T05:19:55.5581090Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5646570Z Entering 'third_party/ideep'
2025-07-24T05:19:55.5712260Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5775820Z Entering 'third_party/ideep/mkl-dnn'
2025-07-24T05:19:55.5841170Z http.https://github.com/.extraheader
2025-07-24T05:19:55.5911060Z Entering 'third_party/ittapi'
2025-07-24T05:19:55.5979230Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6044800Z Entering 'third_party/kineto'
2025-07-24T05:19:55.6110780Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6174930Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-07-24T05:19:55.6241050Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6305760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-07-24T05:19:55.6371740Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6438790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-07-24T05:19:55.6504500Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6585540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-07-24T05:19:55.6652630Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6732230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-07-24T05:19:55.6798370Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6863390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-07-24T05:19:55.6929700Z http.https://github.com/.extraheader
2025-07-24T05:19:55.6998010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-07-24T05:19:55.7064460Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7131340Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-07-24T05:19:55.7196970Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7264160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-07-24T05:19:55.7330150Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7396960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-07-24T05:19:55.7463040Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7530640Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-07-24T05:19:55.7596280Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7662140Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-07-24T05:19:55.7727450Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7794850Z Entering 'third_party/kleidiai'
2025-07-24T05:19:55.7862310Z http.https://github.com/.extraheader
2025-07-24T05:19:55.7928580Z Entering 'third_party/mimalloc'
2025-07-24T05:19:55.7994210Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8059910Z Entering 'third_party/nlohmann'
2025-07-24T05:19:55.8125370Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8191540Z Entering 'third_party/onnx'
2025-07-24T05:19:55.8257220Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8328160Z Entering 'third_party/onnx/third_party/pybind11'
2025-07-24T05:19:55.8395920Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8463970Z Entering 'third_party/opentelemetry-cpp'
2025-07-24T05:19:55.8530760Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8596890Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-07-24T05:19:55.8662930Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8728800Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-07-24T05:19:55.8794230Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8860290Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-07-24T05:19:55.8925960Z http.https://github.com/.extraheader
2025-07-24T05:19:55.8991500Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-07-24T05:19:55.9056520Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9122610Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-07-24T05:19:55.9188790Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9254790Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-07-24T05:19:55.9320620Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9386420Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-07-24T05:19:55.9452010Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9516680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-07-24T05:19:55.9581970Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9662040Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-07-24T05:19:55.9727810Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9796150Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-07-24T05:19:55.9863490Z http.https://github.com/.extraheader
2025-07-24T05:19:55.9941220Z Entering 'third_party/pocketfft'
2025-07-24T05:19:56.0013020Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0079260Z Entering 'third_party/protobuf'
2025-07-24T05:19:56.0146010Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0211400Z Entering 'third_party/protobuf/third_party/benchmark'
2025-07-24T05:19:56.0277880Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0343360Z Entering 'third_party/protobuf/third_party/googletest'
2025-07-24T05:19:56.0408900Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0476420Z Entering 'third_party/psimd'
2025-07-24T05:19:56.0544050Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0610010Z Entering 'third_party/pthreadpool'
2025-07-24T05:19:56.0675940Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0741800Z Entering 'third_party/pybind11'
2025-07-24T05:19:56.0807690Z http.https://github.com/.extraheader
2025-07-24T05:19:56.0873070Z Entering 'third_party/python-peachpy'
2025-07-24T05:19:56.0939450Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1011490Z Entering 'third_party/sleef'
2025-07-24T05:19:56.1077480Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1143210Z Entering 'third_party/tensorpipe'
2025-07-24T05:19:56.1210020Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1274870Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-07-24T05:19:56.1340340Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1405780Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-07-24T05:19:56.1471210Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1536510Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-07-24T05:19:56.1601990Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1667550Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-07-24T05:19:56.1733950Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1797800Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-07-24T05:19:56.1864530Z http.https://github.com/.extraheader
2025-07-24T05:19:56.1990810Z A job completed hook has been configured by the self-hosted runner administrator
2025-07-24T05:19:56.2039710Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2025-07-24T05:19:56.2051460Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-07-24T05:19:56.2051690Z ##[endgroup]
2025-07-24T05:19:56.2314510Z + df -h
2025-07-24T05:19:56.2334320Z + ls -t /var/log/post_job
2025-07-24T05:19:56.2334650Z + awk 'NR>100'
2025-07-24T05:19:56.2336750Z + xargs rm -fv
2025-07-24T05:19:56.4732260Z + Checking if runner needs to be terminated...ok
2025-07-24T05:19:56.4732570Z + Outputting disk space
2025-07-24T05:19:56.4732990Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-07-24T05:19:56.4733510Z /dev/disk5s2s1   256Gi   9.5Gi   174Gi     6%    404k  1.8G    0%   /
2025-07-24T05:19:56.4733870Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-07-24T05:19:56.4734320Z /dev/disk5s5     256Gi   1.0Gi   174Gi     1%       1  1.8G    0%   /System/Volumes/VM
2025-07-24T05:19:56.4734770Z /dev/disk5s3     256Gi   5.7Gi   174Gi     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-07-24T05:19:56.4735230Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-07-24T05:19:56.4735690Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-07-24T05:19:56.4736190Z /dev/disk1s3     500Mi   872Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-07-24T05:19:56.4736630Z /dev/disk5s1     256Gi    65Gi   174Gi    28%    2.7M  1.8G    0%   /System/Volumes/Data
2025-07-24T05:19:56.4737040Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-07-24T05:19:56.4737490Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-dYoGYX
2025-07-24T05:19:56.4737880Z + Cleaning up old logs (Keep the latest 100)
2025-07-24T05:19:56.4740180Z + Restoring SSH key to be the skeleton key
2025-07-24T05:19:56.4823800Z Cleaning up orphan processes